Psychological methodology Books

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Book Synopsis1. Motivation Science.- 2. Emotion Based Motivation.- 3. Educational Motivation.- 4. Self-Regulated learning.- 5. Motivation and Technology.- 6. Neuroscience and motivation.

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Book SynopsisThis is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face when applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.This is a valuable resource for upper level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses Trade Review"This book is an important contribution to the field. I have been publishing articles using EFA for over 30 years, yet it provided me with new insights and information on EFA. More importantly, the material is easy to follow and accessible to researchers and graduate students new to EFA. I highly recommend it to anyone seeking to become competent in EFA."Joseph J. Glutting, University of Delaware, USA"A Step-by-Step Guide to Exploratory Factor Analysis with Stata offers not only an explanation of how to use Stata but also a clear overview of how to conduct an EFA. It is a valuable resource for students and researchers alike."Stefan C. Dombrowski, Rider University, USA"This book is an amazing resource for those new to factor analysis as well as those who have used it for some time. It is a terrific guide to best practices in exploratory factor analysis with rich explanations and descriptions for why various procedures are used and equally terrific in providing resources and guidance for using Stata for conducting factor analysis. I highly recommend this book."Gary L. Canivez, Eastern Illinois University, USA"This is by far, the best book of its kind. Professor Watkins has an accessible and engaging writing style that nicely blends underlying theoretical assumptions of exploratory factor analysis with easy-to-follow, practical suggestions for the statistical calculations. This text will be a tremendous resource for beginning, intermediate, and advanced researchers. Highly recommended!"Joseph C. Kush, Duquesne University, USATable of ContentsPreface 1. Introduction 2. Data 3. Stata Software4. Importing and Saving Data 5. Decision Steps in Exploratory Factor Analysis 6. Step 1: Variables to Include 7. Step 2: Participants 8. Step 3: Data Screening 9. Step 4: Is Exploratory Factor Analysis Appropriate?10. Step 5: Factor Analysis Model 11. Step 6: Factor Extraction Method 12. Step 7: How many Factors to Retain 13. Step 8: Rotate Factors 14. Step 9: Interpret Exploratory Factor Analysis Results 15. Step 10: Report Exploratory Factor Analysis Results 16. Exploratory Factor Analysis with Categorical Variables17. Higher-Order and Bifactor Models 18. Exploratory versus Confirmatory Factor Analysis19. Practice ExercisesReferences and Resources

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Book SynopsisEvidence-Based Counselling and Psychological Therapies assesses the impact of the international drive towards evidence-based health care on NHS policy and the provision of the psychological services in the NHS. An outstanding range of contributors provide an overview of evidence-based health care and the research methods that underpin it, demonstrating its effect on policy, provision, practitioners and patients. Their thought-provoking chapters look at a variety of relevant issues including: * generating and implementing evidence * cost-effectiveness issues * practical guidelines * practitioner research Evidence-Based Counselling and Psychological Therapies is essential for mental health professionals and trainees concerned with this movement which is having, and will continue to have a huge impact on the purchasing, provision and practice of health care.Table of ContentsPart 1 What is evidence-based health care?; Chapter 1 Evidence-based psychological therapies, Nancy Rowland, Stephen Goss; Chapter 2 The drive towards evidence-based health care, Mark Baker, Jos Kleijnen; Chapter 3 Towards evidence-based health care, Brian Ferguson, Ian Russell; Chapter 4 Economics issues, Alan Maynard; Chapter 5 Evidence-based psychotherapy, Glenys Parry; Part 2 Generating the evidence; Chapter 6 Randomised controlled trials and the evaluation of psychological therapy, Peter Bower, Michael King; Chapter 7 The contribution of qualitative research to evidence-based counselling and psychotherapy, John McLeod; Chapter 8 Rigour and relevance, Michael Barkham, John Mellor-Clark; Part 3 Synthesising the evidence; Chapter 9 Systematic reviews in mental health, Simon Gilbody, Amanda Sowden; Chapter 10 Clinical practice guidelines development in evidence-based psychotherapy, John Cape, Glenys Parry; Chapter 11 Getting evidence into practice, Stephen Goss, Nancy Rowland;

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Book SynopsisDetermine your personality using a scientifically validated method based on the work of C.G. Jung and gain insight into why others behave the way they do, and why you are the person you are. What’s your type? Would you rather . . . . . . celebrate with the whole crowd or just a few friends? . . . focus on the facts or get an overall impression? . . . go with what “seems logical” or what “feels fair”? . . . keep to a schedule or keep your options open?   How you answer these questions is the very beginning of understanding who you are and how you relate to those around you, by using a new and exciting method called Typewatching. Otto Kroeger and Janet M. Thuesen have developed Typewatching from the Myers-Briggs Type Indicator, which was derived from the work of C. G. Jung. Now they have put together the first and only popular guide to the MBTI in Type Talk. Here is a one-of-a-kind guide that d

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Book SynopsisWeb Search Savvy: Strategies and Shortcuts for Online Research provides readers of all skill levels with efficient search strategies for locating, retrieving, and evaluating information on the Internet. Utilizing her experience as a reporter working on deadline, author Barbara G. Friedman offers the most effective methods for finding useful and trustworthy data online, and presents these techniques in a straightforward, user-friendly manner.Anyone who uses the Internet for research will find much of value here, including techniques that harness the power of advanced searches to optimize search results, avoid advertising clutter, and locate low- or no-cost databases. Screen captures and diagrams illustrate the steps, rationale, and results to accompany various search strategies. This book emphasizes techniques that make the Web work for individuals rather than for advertisers, such as choosing the most appropriate search engine for the job and tweaking its advanced options to narrow a search and optimize results; identifying cost-free sources of online data; using creative approaches to locate information; evaluating the integrity of online data; and protecting the privacy of the researchers and the researched.Web Search Savvy is an essential resource for students, scholars, and practitioners in journalism and mass communications, and it offers practical and useful guidance for anyone researching information online.Trade Review"This is a good general starter book for the beginner and will help many online searchers organize their time online more efficiently and effectively. There are a number of helpful appendices such as Internet domains and country codes, useful web sites and a glossary."—Emerald Journal: Online Information ReviewTable of ContentsContents: Preface. Getting Started. When Seconds Count: Search Engine Strategies. Skipping the Middleman: Alternate Ways to Find Information. Staying Connected: Mailing Lists, Newsletters, Newsgroups, and Web Logs. Finding out About People. Finding and Using Databases. Evaluating the Information You Find. What's Next? Appendices.

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Book SynopsisThis volume focuses on and exemplifies how ethnography--a research tool devoted to looking at human interaction as a cultural process rather than individual psychology--can shed light on educational processes framed by the complex, internationalized societies in which we live today. Part I offers theoretical chapters about ethnography and examples of innovative ethnography from particular perspectives. In Part II, the emphasis is on the application of ethnographic approaches to educational settings.Each contribution not only takes the reader on a thoughtful and enlightening journey, but raises issues that are important to both educators and ethnographers, including the relationship of researcher to subject, the meaning of participant in participant observation, and ways to give voice to disenfranchised players, and on the complex ways in which all parties experience identities such as race in the modern world.Innovations in Educational Ethnography: Theory, MethodTrade Review"I heartily recommend this book and enjoyed having an opportunity to review it. I will be using it in my classes this fall."--Janice E. Jones, Contemporary Psychology: APA Review of Books, November 15, 2006, Vol. 51, No. 46"This book is set up and laid out very thoughtfully. An exciting part of this book is how the authors have incorporated culture throughout the chapters....provides the reader with a clear picture of the theoretical background of ethnography and great examples of the application of ethnographic approaches to educational settings."—PsycCRITIQUES"Once again George Spindler has put together a collection of new (and original) essays....The contributors are all fine ethnographers with new and important research to share with the larger field."—Donna Deyhle, University of Utah"...presents new approaches to doing research as well as new ways of thinking about complicated issues related to ethnography and education....In addition to being one of the fathers of anthropology and education, Spindler is a superb writer and editor."—Jeffrey Shultz, Arcadia UniversityTable of ContentsContents: Preface. Part I: Theoretical and Methodological Explorations in Ethnography.R. McDermott, H. Varenne, Reconstructing Culture in Educational Research. K. Powell, Inside-Out and Outside-In: Participant Observation in Taiko Drumming. G. Spindler, Living and Writing Ethnography: An Exploration in Self-Adaptation and Its Consequences. M. Pollock, Race Wrestling: Struggling Strategically With Race in Educational Practice and Research. J.D. Raley, Finding Safety in Dangerous Places. I. Seyer-Ochi, Lived Landscapes of the Fillmore. Part II: Studying "Side by Side": Ethnographic Applications to Educational Settings.F. Erickson, Studying Side by Side: Collaborative Action Ethnography in Educational Research. J. Rosiek, Toward Teacher Education That Takes the Study of Culture as Foundational: Building Bridges Between Teacher Knowledge Research and Educational Ethnography. L. Hammond, Digging Deeper: Using Reflective Dialogue to Illuminate the Cultural Processes Inherent in Science Education. C. Brandt, Narratives of Location: Epistomology and Place in Higher Education. S. Nichols, D. Tippins, L. Morano, P. Bilbao, T. Barcenal, Community-Based Science Education Research: Narratives From a Filipino Barangay.

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Book SynopsisThere is a myth that people with mental disorders comply poorly with treatment. In fact, psychiatric patients are no more likely than patients in other medical specialities to go against the advice of their doctor. That said, it is easy to find instances where psychotropic medication is refused by the supposed beneficiary. The value of neuroleptic treatment in schizophrenia is now widely accepted. Failure to take such treatment is associated with relapse and relapse may endanger the patient and other people. Despite this, people with schizophrenia frequently fail to take their treatment. This study shows that one third can be expected to be non-compliant within two years of leaving a general adult psychiatry ward. It also looks at the reasons for this: the influence of drug side-effects is examined, as well as the impact of each patient''s attitude to treatment and whether or not they have stopped taking prescribed medication in the past.Table of ContentsLiterature Review. Aims of the Research. Method. Results. The Findings in the Light of Previous Work. Implications for Clinical Practice and Future Research. Summary. Appendix. References. Author Index. Subject Index.

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Book SynopsisThe contributors to Explorations in Self Psychology, volume 19 of the Progress in Self Psychology series, wrestle with two interrelated questions at the nexus of contemporary discussions of technique: How authentic and relationally invested should the self psychologically informed analyst be, and what role should self-disclosure play in the treatment process?  The responses to these questions embrace the full range of clinical possibilities. Dudley and Walker argue that empathically based interpretation precludes self-disclosure whereas Miller argues in favor of authentic self-expression and against the self psychologist''s frustrating attempt to decenter from frustration or anger. Consideration of the utility of a consistently empathic stance continues with Weisel-Barth''s clinical presentation and the discussions that it elicits about management of her patient''s primary destructiveness. Lenoff''s critical rereading of Kohut''s Examination of the Relationship BetweenTable of ContentsPart I: Theory.Dudley, Walker, "To Be or Not To Be?": The Question of Authenticity, Therapist Subjectivity, and the Role of Interpretive Moments in Treatment. Lenoff, Consequences of "Empathy": Rereading Kohut's (1959) "Examination of the Relationship Between Mode of Observation and Theory." Martinez, Twinship Selfobject Experience and Homosexuality. Miller, Empathy and Self Expression: Confessions of a Sometimes Angry Self Psychologist. Ornstein, Survival and Recovery: Psychoanalytic Reflections. Rieveschl, Cowan, Selfhood and the Dance of Empathy. Shoshani, Shoshani, Psychic Survival versus Psychic Freedom: Reflections on Symington's Theory of Narcissism. Part II: Clinical. Smaller, Working with Adolescents: A Time for "Reconsideration." Stern, A Case of Sexual (Dis-)Orientation with Thoughts on Sexuality, Sexual Orientation, and Psychoanalysis. Shane, Wiesel-Barth, Aron, & Stolorow, Panel: The Role of the Relationship in the Therapeutic Process. Part III: Applied.Childs, Death in Venice: A Selfobject Perspective on Thomas Mann's Homolimerence. Elson, John Adams and Benjamin Rush Exchange Dreams. Rass, Making Contact with the Perception World of a Child: Undetected Disabilities in Sensory Motor Integration and the Effects on the Development of Self-Esteem. Schulz, Tragic Man and Narcissistic Disturbance in the Films of Ingmar Bergman. Wada, The Applicability of Self Psychology to Psychotherapy with the Elderly: With Emphasis on Twinship Selfobject Needs and Empathy as a Mode of Observation. Part IV: Personal Memoir.Goldberg, A Personal and Professional Reminiscence of Heinz Kohut.

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Book SynopsisCovering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards.Reflecting the growing importance of Big Data in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science.Key features of the book include: interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts; thoroughly integrating the teaching of statistiTrade Review"This book is a teacher’s dream. Not only does it provide a comprehensive discussion of statistics as it is actually practiced by working researchers in the social and health sciences, it also provides detailed guidance on how to carry out such analyses using Stata, one of the best available and widely used statistical packages. Finally it provides numerous examples drawn directly from the research literature. I know of no other book like it."Richard Campbell, Emeritus Professor of Public Health, University of Illinois at Chicago, USA "I taught a year-long graduate level statistics course to first year sociology, education, policy analysis and demography Ph.D. students for more than 40 years. I always pieced together material from several different textbooks, software manuals, and published articles, since no one volume met the need to provide entering graduate students with appropriate content coverage at the right difficulty level. The 2nd edition of Rachel Gordon’s book, with its excellent update, meets these needs better than any other volume I have seen."George Farkas, Distinguished Emeritus Professor of Education, University of California, Irvine, USA "I have used the first edition of Rachel Gordon’s Applied Statistics for the Social and Health Sciences in my multidisciplinary graduate-level statistics course since I began teaching it around 5 years ago. Gordon’s ability to translate complex information into practical, real-world examples that are applicable and engaging for students across the social sciences and health disciplines has helped her textbook stand out from others. The second edition enhances this even further, bringing the material fully up-to-date with recent advances, and displaying a much-needed focus on developing students’ coding skills as well as their statistical knowledge. I anticipate Gordon’s second edition becoming a standard textbook in the field for years to come."Jeffrey E. Stokes, Assistant Professor of Gerontology & Undergraduate Director of Aging Studies Program, University of Massachusetts Boston, USA "I have used—and loved—the first edition of this book for nearly a decade. However, I was thrilled to see that the new edition promises to retain the rigor and clarity of purpose of the first edition, but in a more focused and streamlined package. I look forward to adopting this book for my introductory and advanced regression courses for the next decade and beyond."Jeffrey M. Timberlake, Professor of Sociology, University of Cincinnati, USA Table of ContentsPart I: Getting ready; 1 Considering Examples of Scholarly Publications Modeling Social and Health Variables; 2 Planning and Starting a Quantitative Research Project with Existing Data;; Part II: Describing the data; 3 Graphing and Summarizing Individual Variables; 4 Introducing Population Estimation and Hypothesis Testing; 5 Estimating and Testing the Association between Two Variables; ; Part III: Estimating and presenting linear regression models; 6 Introducing the Linear Regression Model with Two Continuous Variables; 7 Considering Nonlinearity and Nonconstant Variance; 8 Including Categorical Predictor Variables; 9 Including More Than One Predictor Variable in the Model; 10 Considering Interactions among Predictor Variables; ; Part IV: Estimating and presenting generalized linear models; 11 Introducing the Generalized Linear Regression Model; 12 Analyzing Dichotomous Outcomes; 13 Analyzing Multi-Category Outcomes and Offering a Roadmap to Additional Models

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Book SynopsisThe European Review of Social Psychology (ERSP) is an international open-submission review journal, published under the auspices of the European Association of Social Psychology. It provides an outlet for substantial, theory-based reviews of empirical work addressing the full range of topics covered by the field of social psychology. Potential authorship is international, and papers are edited with the help of a distinguished, international editorial board. Articles published in ERSP typically review a programme of the author's own research, as evidenced by the author''s own papers published in leading peer-reviewed journals. The journal welcomes theoretical contributions that are underpinned by a substantial body of empirical research, which locate the research programme within a wider body of published research in that area, and provide an integration that is greater than the sum of the published articles. ERSP also publishesTable of ContentsThe person-based nature of prejudice: individual difference predictors of intergroup negativity. A dynamic model of engagement in normative and non-normative collective action: Psychological antecedents, consequences, and barriers. Intergroup reconciliation: Instrumental and socio-emotional processes and the needs-based model. Things we (don't) want to hear: Exploring responses to group-based feedback. The presence of the past: Identity continuity and group dynamics. A sociocultural framework for understanding partner preferences of women and men: Review of concepts and evidence. The role of self-evaluation and envy in Schadenfreude. How self-regulation helps to master negotiation challenges: An overview, integration, and outlook. Cognition is a matter of trust: Distrust tunes cognitive processes. European Review of Social Psychology Volume 26, 2015, Reviewer Acknowledgments. Editorial board

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Book SynopsisINSTANT NEW YORK TIMES BESTSELLEROne of the most important books I've ever read-an indispensable guide to thinking clearly about the world. - Bill GatesHans Rosling tells the story of 'the secret silent miracle of human progress' as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly. -Melinda GatesFactfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases. - Former U.S. President Barack ObamaFactfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends-what percentage of the world's population live in poverty; why the world's population is increasing; how

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Book SynopsisA practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (www.guilford.com/geiser-materials) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.Trade Review "Mplus is arguably the most flexible commercially available software program for SEM and all of its special cases. Geiser has provided an admirable service to the community of researchers who use Mplus with this highly readable book. The book is an indispensable companion to more advanced SEM texts and is certainly an important supplementary text for graduate courses on SEM."--David Kaplan, PhD, Department of Educational Psychology, University of Wisconsin-Madison "More and more researchers all over the world are using Mplus. I know of no other book that provides such a truly helpful tutorial on everything from the very first steps to how to run complicated SEM models like latent growth models. Beginners will very much appreciate how much attention the author pays to the basics. Many easy-to-make mistakes can be prevented by keeping this book within arm's reach. It is perfect for researchers at any career stage seeking an accessible, informative introduction to analyzing data with Mplus."--Rens van de Schoot, PhD, Department of Methodology and Statistics, Utrecht University, Netherlands "This text combines an extensive tutorial in Mplus programming with clear descriptions of the statistical models being implemented. Coverage includes standard path and factor analytic models, as well as longitudinal, multilevel, and latent class models. Many real examples are analyzed throughout the book, with careful explanations of syntax, screen shots to help navigate the program, and thorough discussions of results. The companion website provides the data, input, output, and annotated syntax files for all examples. This book will be of great interest to students and researchers who want not only to learn about Mplus, but also to gain a better understanding of SEM."--Roger E. Millsap, PhD, Department of Psychology, Arizona State University "Absolutely fantastic! I really wish I had had this book when I was a grad student. I will strongly recommend it to my own students, as well as to colleagues who ask for help with Mplus. The breadth of statistical techniques covered goes far beyond conventional SEM and makes this a valuable resource for both new and experienced Mplus users."--Alex Bierman, PhD, Department of Sociology, University of Calgary, Canada -Table of Contents1. Data Management in SPSS1.1 Coding Missing Values1.2 Exporting an ASCII Data File for Mplus2. Reading Data into Mplus2.1 Importing and Analyzing Individual Data (Raw Data)2.1.1 Basic Structure of the Mplus Syntax and Basic Analysis2.1.2 Mplus Output for Basic Analysis2.2 Importing and Analyzing Summary Data (Covariance or Correlation Matrices)3. Linear Structural Equation Models3.1 What are Linear SEMs?3.2 Simple Linear Regression Analysis with Manifest Variables3.3 Latent Regression Analysis3.4 Confirmatory Factor Analysis3.4.1 First-Order CFA3.4.2 Second-Order CFA3.5 Path Models and Mediator Analysis3.5.1 Introduction and Manifest Path Analysis3.5.2 Manifest Path Analysis in Mplus3.5.3 Latent Path Analysis3.5.4 Latent Path Analysis in Mplus4. Structural Equation Models for Measuring Variability and Change4.1 Latent State Analysis4.1.1 LS versus LST Models4.1.2 Analysis of LS Models in Mplus4.1.3 Modeling Indicator-Specific Effects4.1.4 Testing for Measurement Invariance across Time4.2 LST Analysis4.3 Autoregressive Models4.3.1 Manifest Autoregressive Models4.3.2 Latent Autoregressive Models4.4 Latent Change Models4.5 Latent Growth Curve Models4.5.1 First-Order LGCMs4.5.2 Second-Order LGCMs5. Multilevel Regression Analysis5.1 Introduction to Multilevel Analysis5.2 Specification of Multilevel Models in Mplus5.3 Option two level basic5.4 Random Intercept Models5.4.1 Null Model (Intercept-Only Model)5.4.2 One-Way Random Effects of ANCOVA5.4.3 Means-as-Outcomes Model5.5 Random Intercept and Slope Models5.5.1 Random Coefficient Regression Analysis5.5.2 Intercepts-and-Slopes-as-Outcomes Model6. Latent Class Analysis6.1 Introduction to Latent Class Analysis6.2 Specification of LCA Models in Mplus6.3 Model Fit Assessment and Model Comparisons6.3.1 Absolute Model Fit6.3.2 Relative Model Fit6.3.3 InterpretabilityAppendix A: Summary of Key Mplus Commands Discussed in This BookAppendix B: Common Mistakes in the Mplus Input Setup and TroubleshootingAppendix C: Further Readings

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Book SynopsisThis book presents cutting-edge research on adult attachment together with a complete overview of the Adult Attachment Projective Picture System (AAP), the authors' validated developmental assessment. In addition to identifying attachment classification groups, the AAP yields important information about dimensions--including defensive processes--not evaluated by other available measures. Detailed case illustrations show what the AAP looks like in action and what it reveals about individuals' early experiences, sense of self, and capacity to engage in close, protective relationships. The AAP can be used in clinical or research settings; the concluding chapter discusses promising applications to studying the neurobiology of attachment.Trade Review"Research on patterns of adults' thoughts, memories, and feelings about intimate family relationships--especially child-parent relationships--has developed steadily and dramatically. One of the biggest challenges is developing assessment tools that successfully balance scientific precision, reliability, and validity with practical clinical utility. This volume represents the most promising attempt to meet this need that I have seen to date. I am certain this book will motivate researchers and clinicians alike to use the AAP in their work, and will become a well-worn reference."--Robert Marvin, PhD, University of Virginia, and Director, The Mary Ainsworth Child-Parent Attachment Clinic"The AAP is an exciting and useful tool for research and clinical practice. George and West describe the development and major features of the AAP while also providing incisive, original contributions to contemporary attachment theory. This book is appropriate for researchers and clinicians--both experts and novices--and for graduate students. I eagerly anticipate using it in training clinicians in Therapeutic Assessment."--Stephen E. Finn, PhD, Founder, Center for Therapeutic Assessment; Department of Psychology, University of Texas at Austin"This splendid, important book is grounded in a strong theory and infused with creativity. It presents an assessment method that is user friendly and economical, validated in clinical and community samples, and confirmed by neurobiological research. The book uses many case examples to illustrate adults' representations of attachment patterns. For graduate students, it is a guide to thinking beyond existing methods when asking new questions. For professionals in clinical and research settings, it opens a window to unconscious relationship biases."--Karin Grossmann, PhD, Department of Psychology, University of Regensburg, Germany -Table of ContentsI. Background 1. Narrative versus Non-Narrative Assessment of Adult Attachment 2. Defining Attachment Stories as Representational Precipitates II. Development, Validation, and Coding of the AAP 3. The Development and Validation of the AAP 4. The Attachment Self: The AAP Attachment Content Coding Dimensions 5. Defensive Processes in the AAP III. Using the AAP 6. Secure Attachment 7. Dismissing Attachment 8. Preoccupied Attachment 9. Dysregulated Segregated Systems: Unresolved Attachment, Failed Mourning, and Preoccupation with Suffering 10. Using the AAP in Neurobiology Research, Anna Buchheim and Carol George

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Book SynopsisDesigned to foster inquiry-mindedness, this book prepares graduate students to develop a conceptual framework and conduct inquiry projects that are linked to ongoing conversations in a field. The authors examine different ways of knowing and show how to identify a research question; build arguments and support them with evidence; make informed design decisions; engage in reflective, ethical practices; and produce a written proposal or report. Each chapter opens with a set of critical questions, followed by a dialogue among five fictional graduate students exploring questions and concerns about their own inquiry projects; these issues are revisited throughout the chapter. Other useful features include end-of-chapter learning activities for individual or group use.Useful pedagogical features include: *Framing questions for exploration and reflection. *Chapter-opening dialogues that bring in perspectives from multiple disciplines. *Example boxes with detailed cases and questionsTrade ReviewWow! I was impressed by the quality of the content, the readability and flow, and the apt use of the journey metaphor. This book will serve as a key resource for education and other social science graduate students conducting research projects or for professionals writing research grant proposals for funding. Through dialogue, example, activity, and exploration, the authors illustrate that research can be engaging and fun. Each chapter has one or more reflective activities that guide readers to apply the principles presented, work collaboratively in learning groups, develop a conceptual framework for a project, and learn to generate knowledge through systematic inquiry. The activities help students navigate the entire inquiry process, from problem selection to written report. I will recommend this book to my doctoral students at the dissertation stage. The chapter on conceptual frameworks is priceless.--Eleni Coukos Elder, EdD, Department of Educational Administration, Tennessee State UniversityThis book offers a practical overview of basic skills required for the budding researcher in the social sciences. A major theme is promoting the development of an open, inquisitive, reflective stance that enables the researcher to take in new information and generate knowledge. Each chapter offers succinct information and examples and poses questions suitable for seminar discussion. In the research design chapter, weaving a fictional student's thinking about her project into the discussion to illustrate key points is quite effective. This book promises to be a useful supplement for research design and methods courses.--Arlene Bowers Andrews, PhD, Carolina Distinguished Professor, College of Social Work, University of South CarolinaThe best among a new generation of texts that helps the student learn to think like a scholar and researcher. In a single, readable volume, Rallis and Rossman distill key ideas and conceptual frameworks that currently require several textbooks and readings in my classes. They do so without getting entangled in arcane or overly technical arguments. The vignettes, examples, and exercises will help advanced graduate students and junior researchers to apply the concepts across the social and behavioral sciences, in both applied and pure fields of inquiry.--David N. Boote, PhD, School of Teaching, Learning, and Leadership, and Department of Educational and Human Sciences, University of Central FloridaThe book does an excellent job--especially through the exercises--of unblocking the thinking and writing of terrified graduate students.--Sande Milton, College of Education, Florida State University -This book can easily fit into a research course. It is easy to understand, and the learning activities are excellent for stimulating discussion and assessing understanding. 5 stars.--Doody's Reviews, 7/1/2012Table of Contents1. Inquiry as Learning: Beginning the Journey Introduction What Is Inquiry? The Learner as Knowledge Generator Drawing on Values and Passion Your Journey into Systematic Inquiry For Further Reading 2. Ways of Knowing: Finding a Compass Ways of Knowing Fundamental Assumptions Mapping Perspectives Back to Ontology and Epistemology For Further Reading 3. The Cycle of Inquiry: More Than One Way to Get There Inquiry in Action/Inquiry as Practice The Systematic Inquiry Cycle Validity, Credibility, and Trustworthiness For Further Reading 4. Being an Ethical Inquirer: Staying Alert on the Road Ethics in Inquiry The Inquirer as a Moral Practitioner Standards for Practice and Procedural Matters Ethics, Trustworthiness, and Rigor Ethical Theories Ethics and Reflexivity For Further Reading 5. Constructing Conceptual Frameworks: Building the Route What Is a Conceptual Framework? Building an Argument Entering the Conversation: Your Community of Practice Entering the Conversation: Your Engagement Entering the Conversation: The Communities of Discourse Ways of Organizing Chapter Summary For Further Reading 6. Designing the Inquiry Project: Finding “True North” Moving from the Conceptual Framework into Design Considering Various Designs Samira’s Research Questions and Possible Designs A Short Course on Research Methods Planning for Analysis and Interpretation The Research Proposal: Bringing it All Together An Example of Connecting the What and the How Chapter Summary For Further Reading 7. Things to Consider in Writing: Staying in the Right Lane Writing Introductions The Nasty Problem of Plagiarism Using Proper Citation Format For Further Reading 8. Knowledge Use: Arriving at Your Destination Using What You have Learned Who Cares?: Potential Audiences Communicating for Use Passions and Closing the Loop For Further Reading

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Book SynopsisDesigned to foster inquiry-mindedness, this book prepares graduate students to develop a conceptual framework and conduct inquiry projects that are linked to ongoing conversations in a field. The authors examine different ways of knowing and show how to identify a research question; build arguments and support them with evidence; make informed design decisions; engage in reflective, ethical practices; and produce a written proposal or report. Each chapter opens with a set of critical questions, followed by a dialogue among five fictional graduate students exploring questions and concerns about their own inquiry projects; these issues are revisited throughout the chapter. Other useful features include end-of-chapter learning activities for individual or group use.Useful pedagogical features include: *Framing questions for exploration and reflection. *Chapter-opening dialogues that bring in perspectives from multiple disciplines. *Example boxes with detailed cases and questionsTrade ReviewWow! I was impressed by the quality of the content, the readability and flow, and the apt use of the journey metaphor. This book will serve as a key resource for education and other social science graduate students conducting research projects or for professionals writing research grant proposals for funding. Through dialogue, example, activity, and exploration, the authors illustrate that research can be engaging and fun. Each chapter has one or more reflective activities that guide readers to apply the principles presented, work collaboratively in learning groups, develop a conceptual framework for a project, and learn to generate knowledge through systematic inquiry. The activities help students navigate the entire inquiry process, from problem selection to written report. I will recommend this book to my doctoral students at the dissertation stage. The chapter on conceptual frameworks is priceless.--Eleni Coukos Elder, EdD, Department of Educational Administration, Tennessee State UniversityThis book offers a practical overview of basic skills required for the budding researcher in the social sciences. A major theme is promoting the development of an open, inquisitive, reflective stance that enables the researcher to take in new information and generate knowledge. Each chapter offers succinct information and examples and poses questions suitable for seminar discussion. In the research design chapter, weaving a fictional student's thinking about her project into the discussion to illustrate key points is quite effective. This book promises to be a useful supplement for research design and methods courses.--Arlene Bowers Andrews, PhD, Carolina Distinguished Professor, College of Social Work, University of South CarolinaThe best among a new generation of texts that helps the student learn to think like a scholar and researcher. In a single, readable volume, Rallis and Rossman distill key ideas and conceptual frameworks that currently require several textbooks and readings in my classes. They do so without getting entangled in arcane or overly technical arguments. The vignettes, examples, and exercises will help advanced graduate students and junior researchers to apply the concepts across the social and behavioral sciences, in both applied and pure fields of inquiry.--David N. Boote, PhD, School of Teaching, Learning, and Leadership, and Department of Educational and Human Sciences, University of Central FloridaThe book does an excellent job--especially through the exercises--of unblocking the thinking and writing of terrified graduate students.--Sande Milton, College of Education, Florida State University -This book can easily fit into a research course. It is easy to understand, and the learning activities are excellent for stimulating discussion and assessing understanding. 5 stars.--Doody's Reviews, 7/1/2012Table of Contents1. Inquiry as Learning: Beginning the Journey Introduction What Is Inquiry? The Learner as Knowledge Generator Drawing on Values and Passion Your Journey into Systematic Inquiry For Further Reading 2. Ways of Knowing: Finding a Compass Ways of Knowing Fundamental Assumptions Mapping Perspectives Back to Ontology and Epistemology For Further Reading 3. The Cycle of Inquiry: More Than One Way to Get There Inquiry in Action/Inquiry as Practice The Systematic Inquiry Cycle Validity, Credibility, and Trustworthiness For Further Reading 4. Being an Ethical Inquirer: Staying Alert on the Road Ethics in Inquiry The Inquirer as a Moral Practitioner Standards for Practice and Procedural Matters Ethics, Trustworthiness, and Rigor Ethical Theories Ethics and Reflexivity For Further Reading 5. Constructing Conceptual Frameworks: Building the Route What Is a Conceptual Framework? Building an Argument Entering the Conversation: Your Community of Practice Entering the Conversation: Your Engagement Entering the Conversation: The Communities of Discourse Ways of Organizing Chapter Summary For Further Reading 6. Designing the Inquiry Project: Finding “True North” Moving from the Conceptual Framework into Design Considering Various Designs Samira’s Research Questions and Possible Designs A Short Course on Research Methods Planning for Analysis and Interpretation The Research Proposal: Bringing it All Together An Example of Connecting the What and the How Chapter Summary For Further Reading 7. Things to Consider in Writing: Staying in the Right Lane Writing Introductions The Nasty Problem of Plagiarism Using Proper Citation Format For Further Reading 8. Knowledge Use: Arriving at Your Destination Using What You have Learned Who Cares?: Potential Audiences Communicating for Use Passions and Closing the Loop For Further Reading

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Book Synopsis Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; Helpful Suggestions about procedures and pitfalls; Knowledge Boxes delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (www.guilford.com/jose-materials) provides downloadable data and syntax files for the book's examples and exercises, as well as links to Jose's online programs, MedGraph and ModGraph.à Appendices present SPSS, Amos, and Mplus syntax for conducting the keyTrade ReviewThe examples are great and are used effectively. In the basic model chapters, readers can learn from these examples about how to actually fit these models, how to read and interpret the output, and, most important, the right language to report the findings. The book's emphasis on using graphs to visualize model results will make it easier for novices to grasp subtle concepts and avoid pitfalls. The author's MedGraph and ModGraph are great tools. I would consider using this book as a supplement in an advanced statistics class. Its conversational style will complement the more formal presentation of most textbooks.--Maria M. Wong, PhD, Department of Psychology, Idaho State UniversityJose has done a terrific job of laying out the importance of investigating mediation and moderation effects, as well as providing strategies to address them. Strengths of this clearly written book include the link between mediation and moderation theory and the statistical analysis testing these theories. The examples will prove useful to researchers in many fields.--David MacKinnon, PhD, Department of Psychology, Arizona State UniversityOne of the first volumes to focus on mediation and moderation, this book explains their differences from historical, substantive, and modeling perspectives. It is abundant with 'how-to' examples and provides readers with modeling tools that can be used directly in research. This is a suitable supplemental text for intermediate or advanced courses dealing with regression, hierarchical linear modeling, or structural equation modeling. The inclusion of cutting-edge topics such as mediated moderation and moderated mediation will attract more advanced quantitative researchers as well.--Feifei Ye, PhD, Department of Psychology in Education, University of Pittsburgh -“This book offers a brief and readable introduction to moderation and mediation, including alternate contexts in which such effects are likely to emerge, statistical strategies for their evaluation, and different types of models that represent manifestations of mediation and moderation. The focus on and clarification of the difference between mediation and moderation distinguish this contribution from the other most recent publications in this area….For the person wanting a comprehensive introduction to themes associated with the concepts of mediation and moderation, Doing Statistical Mediation and Moderation represents a worthwhile addition to one's library. The variety of topics covered…is impressive….Throughout, Jose offers a slew of online resources for learning more about special topics in mediation and moderation and for conducting analyses….A useful contribution to the literature on more sophisticated structural models. Researchers who are interested in improving their effectiveness as modelers of relationships involving three or more variables will find it a valuable contribution as an introduction to the broad conceptual issues related to mediation and moderation, and as a source of useful tools and resources.”--PsycCritiques, 10/1/2013ƒƒA really nice aspect of the book is that the author provides all the datasets analyzed, allowing the readers to directly use them to learn and practice. In the appendices, the book provides suggested answers to the exercises, statistical software implementations, and Internet resources for mediation and moderation analysis….This book is an excellent introductory level mediation and moderation analysis textbook….It clearly explains the basic research questions and the corresponding regression-based statistical tools dealing with them. Applied researchers interested in applying linear regression-based mediation and moderation techniques to their own data could find an excellent starting point within its pages.--American Statistician, 1/22/2015Table of Contents1. A Basic Orientation*My Personal Journey*Confusions about Mediation and Moderation*Mediation and Moderation: The Synergism of Three Variables2. Historical Background*The History of Mediation and Moderation*Two Strands of Thought within Statistics*The Historical Basis for the Methods of Mediation and Moderation*Baron and Kenny's Landmark Publication*Knowledge Box. A Note about Terminology: IV/DV versus Predictor/Outcome*Clarification of Mediation and Moderation Subsequent to Baron and Kenny's Article*Summary*Further Reading3. Basic Mediation*Review of Basic Rules for Mediation*How to Do Basic Mediation*Knowledge Box. Controversy: Calculation of whether Significant Mediation Has Occurred*An Example of Mediation with Experimental Data*An Example of Null Mediation*Sobel's z versus Reduction of the Basic Relationship*Suppressor Variables in Mediation*Investigating Mediation When One Has a Nonsignificant Correlation*Understanding the Mathematical Fine Print: Variances and Covariances*Discussion of Partial and Semipartial Correlations*Statistical Assumptions*Summary*Further Reading*In-Chapter Exercises*Additional Exercises4. Special Topics in Mediation*Model Specification: Testing Models*Knowledge Box. Another Area of Potential Confusion: Implications for Naming Different Types of Mediation Results*Multiple Mediators*Bootstrapping (Resampling)*Longitudinal Mediation Models*Multilevel Mediation Models*Categorical Mediators and/or Outcomes (Logistic Regression)*Mediation with Quadratic Relationships*Summary*Further Reading*In-Chapter Exercises5. Basic Moderation*Categorical Variable Moderation*Knowledge Box. A Short Tutorial on Dummy Coding*An Example of a Continuous Moderator*Knowledge Box. Graphing Moderation Patterns*Further Reading*In-Chapter Exercises*Additional Exercises6. Special Topics in Moderation*Johnson-Neyman Regions of Significance*Multiple Moderator Regression Analyses*Moderation of Residualized Relationships*Quadratic Moderation*Basic Moderation in Path Analyses*Moderation in Multilevel Modeling (MLM)*Moderation with Latent Variables*Logistic Moderation?*Summary*Further Reading*In-Chapter Exercises*Additional Exercises7. Mediated Moderation and Moderated Mediation*The Literature*Mediated Moderation: A Baron and Kenny-type Example*Moderated Mediation*Where to from Here? Bootstrapping for Moderated Mediation*More Complicated Variants: Moderated Mediated Moderation*Other Variants*Conclusions*Further ReadingSuggested Answers to ExercisesAppendix A. SPSS, Amos, and MPlus ModelsAppendix B. Resources for Researchers Who Use Mediation and Moderation

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Book SynopsisThis user-friendly text takes a learn-by-doing approach to exploring research design issues in education and psychology, offering evenhanded coverage of quantitative, qualitative, mixed-methods, and single-case designs. Readers learn the basics of different methods and steps for critically examining any study's design, data, and conclusions, using sample peer-reviewed journal articles as practice opportunities. The text is unique in featuring full chapters on survey methods, evaluation, reliability and validity, action research, and research syntheses. Pedagogical Features *An exemplar journal article at the end of each methods chapter, together with questions and activities for critiquing it (including, where applicable, checklist forms to identify threats to internal and external validity), plus lists of additional research examples. *Research example boxes showing how studies are designed to address particular research questions. *In every chapter: numbered chTrade ReviewEach chapter in this book is well organized, with good examples, suggested readings, and other helpful materials.--Hisako Matsuo, PhD, Department of Sociology and Anthropology, Saint Louis UniversityUnlike many other texts, this book covers each topic with consistent depth. Great features include a thorough chapter on program evaluation, which many texts don't offer; coverage of reliability and validity early in the book (I love the section on things to consider about measurement devices!); and the best presentation of qualitative research that I have seen in any text. I like how qualitative research and quantitative research are presented separately instead of being merged in a confusing fashion. I will definitely consider adopting this text.--Melody Whiddon, PhD, College of Education, Florida International UniversityThis accessible book does the best job of any text I've seen of making the dynamic nature of research designs come to life for educational researchers. I teach two research methods classes--one for doctoral students and the others for master's students--and I will use this book for both. It covers the right material, has a solid structure within chapters, and includes some nuts-and-bolts material not available in other texts.--Eleazar Vasquez III, PhD, BCBA-D, Exceptional Education Program, University of Central Florida This book is an easy read, full of good examples and well-thought-out approaches. The authors have brought extensive experience to bear on creating a very effective text. I look forward to using this text in my graduate course in research for speech-language pathologists.--Anthony P. Salvatore, PhD, Director, Speech-Language Pathology Program, and Chair, Department of Rehabilitation Sciences, University of Texas, El Paso This clear, detailed volume provides a comprehensive look at the elements that help novice researchers become more critical consumers of research. I like the graphic organizers and the use of discussion questions and exercises. These tools help the instructor ensure that students understand the topics and allow for a variety of different learning styles. When I teach educational research courses, I often have to locate related articles on my own; I appreciate that the authors have taken the time to provide related articles. This text is just the right level for my graduate students.--Tracy M. Walker, PhD, Department of Doctoral Studies, Virginia State UniversityThis text delivers exactly what it claims: it teaches students how to consume and understand research. The comprehensive coverage of all types of empirical inquiry is truly impressive and second to none. Advanced undergraduates and graduate students at the master’s and doctoral levels will greatly appreciate the book's treatment of both the fundamentals and nuances of most types of research designs. This text will enlighten and more than satisfy the most inquisitive educational research consumer.--Edward J. Sabornie, PhD, Graduate Program in Special Education, North Carolina State University-Table of ContentsI. UNDERSTANDING RESEARCH1. Thinking Critically about ResearchObjectivesOverviewHow Important Is Critical Thinking?What Are the Elements to Becoming a Critical Research Consumer?What Are Science and the Scientific Method? What Are the Purposes of Science? What Is a Scientific Theory?What Are the Types of Scientific Logic? In What Ways Do We Gain Information? What Are Constraint Levels in Educational and Psychological Research?What Are the Differences between Basic and Applied Research?What Is Replication Research?SummaryDiscussion QuestionsII. CRITICAL ISSUES IN RESEARCH2. Fundamental Issues for Interpreting ResearchObjectivesWhat Is Variability?What Is Internal Validity and Its Threats? What Is External Validity and Its Threats?What Are Statistical and Social Validities?SummaryDiscussion QuestionsInterpretation Exercises3. Reliability, Validity, and Interobserver AgreementObjectivesOverviewWhat Are Reliability and Validity Issues in Quantitative Research? How Do Researchers Assess the Reliability of Measurement Devices?How Do Researchers Determine the Validity of Measurement Devices?What Are Reliability and Validity Issues in Qualitative Research?What Is Interobserver Agreement?What Are the Methods of Establishing Interobserver Agreement? What Are the Factors That Influence Interobserver Agreement? What Are the Factors to Consider When Assessing Measurement Devices in the Context of aStudy? SummaryDiscussion QuestionsPractice ExercisesIII. QUANTITATIVE RESEARCH METHODS4. Basic Statistical Concepts and Sampling ProceduresObjectivesOverviewWhat Are the Scales of Measurement? What Is a Univariate Frequency Distribution? How Can We Describe Data Sets?What Role Do Hypotheses Play in Research?What Are Parametric and Nonparametric Tests of Statistical Significance?What Is Statistical Significance?What Are Type I and Type II Errors and Power?What Are the Types of Statistical Significance Testing Methods? What Are the Different Sampling Methods?What Are the Sampling Decisions Researchers Make?What Is Sampling Error? SummaryDiscussion Questions5. Experimental DesignsObjectivesOverviewWhat Are True Experimental Designs?What Are the Most Common True Experimental Designs?What Are Factorial Experimental Designs? What Are Quasi-Experimental Designs?What Are the Common Quasi-Experimental Designs? What Are Preexperimental Designs?What Are the Types of Preexperimental Designs?When Should Researchers Use Each Experimental Research Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form6. Causal-Comparative ResearchObjectivesOverviewWhat Is the Causal-Comparative Research Method?What Should Researchers Consider When Designing a Causal-Comparative Research Study?Can the Causal-Comparative Approach Be Combined with Factorial Designs?When Should Researchers Use the Causal-Comparative Research Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form7. Correlational ResearchObjectivesOverviewWhat Is the Correlational Research Method?What Are the Issues in Designing a Correlational Study? What Are the Statistical Procedures Used in Correlational Research?When Should Researchers Use the Correlational Research Method?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form8. Survey Research MethodsObjectivesOverviewWhat Are the Purposes of Survey Research?What Are the Different Types of Surveys?What Are the Factors in Choosing a Survey Method? How Is Survey Research Designed?When Should Researchers Use Survey Research?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Survey Validity FormIV. QUALITATIVE RESEARCH METHODS9. Basic Understandings in Qualitative ResearchObjectivesOverviewWhat Are the Characteristics of Qualitative Research? What Are the Differences between Qualitative and Quantitative Research? What Are Qualitative Research Procedures?What Is Understanding in Qualitative Research? What Are the Evaluative Criteria for Judging the Reliability and Validity of Qualitative Research?What Are the Types of Triangulation Methods?How Are Qualitative Data Analyzed?SummaryDiscussion Questions10. Data Collection and Designs in Qualitative ResearchObjectivesOverviewWhat Are Field-Oriented Studies?What Is Historical Research? What Are Mixed-Methods Studies?When Should Researchers Use Each Qualitative Research Design? SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesQualitative Research Examination FormV. SINGLE-CASE RESEARCH METHODS11. Withdrawal and Associated DesignsObjectivesOverviewWhat Are Graphing Methods in Withdrawal Designs?What Are Withdrawal and Associated Designs?When Should Researchers Use Each Withdrawal and Associated Design?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form12. Multiple-Baseline DesignsObjectives OverviewWhat Are Graphing Methods in Multiple-Baseline Designs?What Are Multiple-Baseline Designs?When Should Researchers Use Each Multiple-Baseline Design?Summary Discussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity Form13. Additional Single-Case DesignsObjectivesOverviewWhat Is a Changing-Criterion Design?What Is a Multitreatment Design?What Is an Alternating Treatments Design?What Are Combination Designs?When Should Researchers Use Each of the Additional Single-Case Designs?Summary Discussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research ExamplesThreats to Internal Validity FormThreats to External Validity FormVI. EVALUATION RESEARCH14. Program EvaluationObjectivesOverviewWhat Are the Goals and Objectives of Program Evaluation? What Are the Types of Program Evaluations?How Is a Program Evaluation Conducted?When Should Program Evaluations Be Conducted?SummaryDiscussion QuestionsILLUSTRATIVE ARTICLE EXAMPLEResearch Example QuestionsAdditional Research Examples15. Evaluating the LiteratureObjectivesOverviewWhat Are the Purposes of Research Syntheses?What Are Systematic and Unsystematic Research Sy

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Book SynopsisThis authoritative, engaging work examines the key role of relationships in child and adolescent development, from the earliest infant-caregiver transactions to peer interactions, friendships, and romantic partnerships. Sections cover foundational developmental science, the self and relationships, social behaviors, contexts for social development, and risk and resilience. Leading experts thoroughly review their respective areas and highlight the most compelling current issues, methods, and research directions. Pedagogical Features: *Structured to follow the sequence of a typical social development course. *Chapters are brief and can be assigned along with primary source readings. *Includes end-of-chapter suggested reading lists. *Coverage is broader and higher-level than other social development texts. *Designed with the needs of students in mind, in terms of writing style, size, and price.Trade Review"This volume covers exciting research advances in social development, with chapters from the best scholars in the field. It is an invaluable resource for social development researchers and an extraordinary text for graduate or upper-level undergraduate courses. Anyone interested in the social development of children and adolescents should read this book."--Martha J. Cox, PhD, Director, Center for Developmental Science, University of North Carolina at Chapel Hill"A great guide to social development in childhood and adolescence. Leading authorities provide comprehensive overviews that incorporate the foundations of the field, the latest findings, and cutting-edge research directions. Newcomers will learn essential information, while experts will have lots of interesting new ideas and findings to ponder. This book is an excellent text for both advanced undergraduate and graduate courses. It is organized around multiple themes (self and relationships, social behaviors, contexts, and risk and resilience), which provides a deeper perspective than any single theme could. The number and length of chapters make it easy to design a syllabus around. This book is truly a winner!"--Wyndol Furman, PhD, John Evans Professor and Director of Clinical Training, Department of Psychology, University of Denver"Underwood and Rosen are leaders in the field, and their contributors are active scholars who present both established and cutting-edge knowledge. Virtually every area of social and personality development has an excellent corresponding chapter. This is a go-to reference for students at all levels interested in the relationships that make us who we are, from the beginning of life to adolescence. I've used many chapters with great success in my advanced undergraduate personality and social development course."--Philip Rodkin, PhD, Department of Educational Psychology, University of Illinois at Urbana-Champaign-The editors have wisely chosen to narrow the field of child development enough to be able to provide a meaningful guide to an important area....Up-to-date research is presented in a clear style....The book is a useful resource for lecturing, and as a reading list recommendation it gives students an academically rigorous overview. For clinicians, it gives updates on literature and a reminder of why the assessment of childhood social relationships can be so valuable from the point of view of mental health and social adjustment. It is possible to dip in and out of this book or read it as a cohesive whole. I would highly recommend it to clinical and academic colleagues alike.--The Psychologist, 7/17/2011Table of ContentsI. Setting the Stage1. The Architecture of Social Developmental Science: Theoretical and Historical Perspectives, Ross A. Thompson and Miranda Goodman2. Biological Correlates of Social Development, Leslie J. Carver and Lisa Tully3. Temperament, Emotion Regulation, and Social Development, Susan D. Calkins and Jennifer S. MacklerII. Self and Relationships4. The Self and Identity, Lisa H. Rosen and Meagan M. Patterson5. Attachment Theory and Research in Developmental Psychology: An Overview and Appreciative Critique, Glenn I. Roisman and Ashley M. Groh6. Families, Parenting, and Discipline, George W. Holden, Brigitte Vittrup, and Lisa H. Rosen7. Peer Relations as a Developmental Context, William M. Bukowski, Duane Buhrmester, and Marion K. Underwood8. Romantic Relationships in Adolescence, Jennifer Connolly and Caroline McIsaacIII. Social Behaviors9. Aggression, Marion K. Underwood10. The Science of Moral Development, Lawrence J. Walker and Jeremy A. Frimer11. Prosocial Behavior, Joan E. Grusec and Amanda ShermanIV. Contexts for Social Development12. Gender, Campbell Leaper and Rebecca S. Bigler13. Race, Ethnicity, and Social Class, Nancy E. Hill and Dawn P. Witherspoon14. Child Care and Schools, Margaret Tresch Owen and Kristin L. Bub15. Culture, Thomas S. WeisnerV. Risk and Resilience16. Child Maltreatment and Social Relationships, Penelope K. Trickett and Sonya Negriff17. A Developmental Perspective on Risk, Resilience, and Prevention, Scott D. Gest and Alice J. Davidson

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Book SynopsisWhat are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily flip and find answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. User-Friendly Features *Chapter-opening preview boxes that highlight useful topics addressed. *EndTrade ReviewThis is the first book I've seen that goes into depth about coding, which is sorely needed. It also does an excellent job of discussing analysis and interpretation at a conceptual level, while providing enough guidance on where to go to get the needed technical assistance. The way the authors compare and contrast quantitative and qualitative methods, approaches, and ways of thinking is particularly strong and well balanced.--Marji Erickson Warfield, PhD, Heller School for Social Policy and Management, Brandeis UniversityThis is a comprehensive resource that delivers what the title promises and more. It provides a great introduction to nearly all data-analytic methods currently utilized by social scientists, and very effectively guides the reader to more in-depth treatments of the subject matter.--Ryan Spohn, PhD, School of Criminology and Criminal Justice, University of Nebraska at OmahaA field guide for researchers who are looking for detailed discussions of the choices they have to make as they work through the research process, whether they are taking a quantitative, qualitative, or combined approach. This isn't a 'how to' in terms of analyses, but more of a 'here's what to consider' book. The tone is at once casual and professional, incorporating real-world examples and occasional humor. The authors have their fingers on the pulse of the field and clearly explain complex ideas.--Theresa E. DiDonato, PhD, Department of Psychology, Loyola University MarylandA useful text. Many students are stymied by data analysis; they think that you just feed data into some software, and voila! I recently told a student that saying a software package will analyze your data is akin to saying Word will write your dissertation. This book gives students data analysis options so they can choose the approach most appropriate for the specific research design.--Janet Salmons, PhD, School of Business and Technology, Capella UniversityThe authors are masterful writers who combine depth and accessibility.--Jerrell C. Cassady, PhD, Department of Educational Psychology, Ball State UniversityThis book exposes readers to a breadth of coding and analysis considerations for both quantitative and qualitative data. The goal is to teach the reader when it is appropriate to use the various techniques and where to look to learn more. The authors provide a solid foundation of knowledge for navigating a research world where both quantitative and qualitative approaches are valued and necessary. I would definitely use this book in courses. For professional use, I would consult it for areas I am not as familiar with, or to provide resources for students. I particularly enjoyed the nonstatistical examples used to explain concepts; they are helpful and make the book easier and more enjoyable to read.--Tracey LaPierre, PhD, Department of Sociology, University of Kansas -This book, along with When to Use What Research Design…is useful for researchers and advanced students in education, sociology, psychology, political science, and criminal justice. Recommended. Graduate students through professionals/practitioners.--Choice Reviews, 1/1/2015Table of ContentsPreface General Introduction I. Coding Data—by Design 1. Coding Survey Data 2. Coding Interview Data 3. Coding Experimental Data 4. Coding Data from Naturalistic and Participant Observations 5. Coding Archival Data II. Analysis and Interpretation of Quantitative Data 6. Describing, Exploring, and Visualizing Your Data 7. What Methods of Statistical Inference to Use When 8. What Associational Statistics to Use When 9. Advanced Associational Methods and Analyses 10. Model Building and Selection : Quantitative Data III. Analysis and Interpretation of Qualitative and Combined/Mixed Data 11. Inductive Analyses of Qualitative Data: Ethnographic Approaches and Grounded Theory 12. Deductive Analyses of Qualitative Data: Comparative Case Studies and Qualitative Comparative Analysis 13. Coding and Analyzing Data from Combined and Mixed Designs 14. Conclusion

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Book SynopsisWhat are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily flip and find answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. User-Friendly Features *Chapter-opening preview boxes that highlight useful topics addressed. *EndTrade ReviewThis is the first book I've seen that goes into depth about coding, which is sorely needed. It also does an excellent job of discussing analysis and interpretation at a conceptual level, while providing enough guidance on where to go to get the needed technical assistance. The way the authors compare and contrast quantitative and qualitative methods, approaches, and ways of thinking is particularly strong and well balanced.--Marji Erickson Warfield, PhD, Heller School for Social Policy and Management, Brandeis UniversityThis is a comprehensive resource that delivers what the title promises and more. It provides a great introduction to nearly all data-analytic methods currently utilized by social scientists, and very effectively guides the reader to more in-depth treatments of the subject matter.--Ryan Spohn, PhD, School of Criminology and Criminal Justice, University of Nebraska at OmahaA field guide for researchers who are looking for detailed discussions of the choices they have to make as they work through the research process, whether they are taking a quantitative, qualitative, or combined approach. This isn't a 'how to' in terms of analyses, but more of a 'here's what to consider' book. The tone is at once casual and professional, incorporating real-world examples and occasional humor. The authors have their fingers on the pulse of the field and clearly explain complex ideas.--Theresa E. DiDonato, PhD, Department of Psychology, Loyola University MarylandA useful text. Many students are stymied by data analysis; they think that you just feed data into some software, and voila! I recently told a student that saying a software package will analyze your data is akin to saying Word will write your dissertation. This book gives students data analysis options so they can choose the approach most appropriate for the specific research design.--Janet Salmons, PhD, School of Business and Technology, Capella UniversityThe authors are masterful writers who combine depth and accessibility.--Jerrell C. Cassady, PhD, Department of Educational Psychology, Ball State UniversityThis book exposes readers to a breadth of coding and analysis considerations for both quantitative and qualitative data. The goal is to teach the reader when it is appropriate to use the various techniques and where to look to learn more. The authors provide a solid foundation of knowledge for navigating a research world where both quantitative and qualitative approaches are valued and necessary. I would definitely use this book in courses. For professional use, I would consult it for areas I am not as familiar with, or to provide resources for students. I particularly enjoyed the nonstatistical examples used to explain concepts; they are helpful and make the book easier and more enjoyable to read.--Tracey LaPierre, PhD, Department of Sociology, University of Kansas -This book, along with When to Use What Research Design…is useful for researchers and advanced students in education, sociology, psychology, political science, and criminal justice. Recommended. Graduate students through professionals/practitioners.--Choice Reviews, 1/1/2015Table of ContentsPreface General Introduction I. Coding Data—by Design 1. Coding Survey Data 2. Coding Interview Data 3. Coding Experimental Data 4. Coding Data from Naturalistic and Participant Observations 5. Coding Archival Data II. Analysis and Interpretation of Quantitative Data 6. Describing, Exploring, and Visualizing Your Data 7. What Methods of Statistical Inference to Use When 8. What Associational Statistics to Use When 9. Advanced Associational Methods and Analyses 10. Model Building and Selection : Quantitative Data III. Analysis and Interpretation of Qualitative and Combined/Mixed Data 11. Inductive Analyses of Qualitative Data: Ethnographic Approaches and Grounded Theory 12. Deductive Analyses of Qualitative Data: Comparative Case Studies and Qualitative Comparative Analysis 13. Coding and Analyzing Data from Combined and Mixed Designs 14. Conclusion

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Book SynopsisAuthoritative and comprehensive, this volume provides a contemporary psychodynamic perspective on frequently encountered psychological disorders in adults, children, and adolescents. Leading international authorities review the growing evidence base for psychoanalytic theories and therapeutic models. Chapters examine the etiology and psychological mechanisms of each disorder and thoroughly describe effective treatment strategies. Highly accessible, the book is richly illustrated with clinical case material. It demonstrates ways in which psychodynamic theory and therapy are enhanced by integrating ideas and findings from neuroscience, social and personality psychology, cognitive-behavioral therapy, and other fields. Winner--Goethe Award for Psychoanalytic and Psychodynamic ScholarshipTrade Review"Bringing together some of our most distinguished psychoanalytic clinicians and researchers, this volume is a rare treasure trove of contemporary psychodynamic thinking and practice rooted in an evidence-based framework. It is set to become essential reading for mental health professionals in training and beyond."--Alessandra Lemma, DClinPsych, Visiting Professor, Psychoanalysis Unit, University College London, United Kingdom "This magnificent handbook not only demonstrates the tremendous richness of psychodynamic thinking about psychopathology, but also links it to empirical research and to neighboring disciplines like personality and social psychology, psychiatry, and neuroscience. I highly recommend this unique volume to anyone interested in the empirical validation of contemporary psychodynamic concepts."--Stephan Doering, MD, Professor and Director, Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Austria "From stellar editors and contributors, this impressive volume is a thoughtful gift to the field. Its perspectives on psychopathology are cutting edge and empirically supported. Readers from graduate students to senior clinicians and researchers will find this book invaluable."--J. Christopher Muran, PhD, Derner Institute of Advanced Psychological Studies, Adelphi University; Director, Mount Sinai Beth Israel Psychotherapy Research Program -The greatest contribution of this volume is its in-depth empirical evaluation of the many theoretical and clinical concepts it presents….Can promote the reintegration of psychodynamic principles into the general mental health field and encourage the further development of an empirical basis for psychodynamic constructs and techniques.--Journal of the American Psychoanalytic Association, 08/01/2016Table of ContentsI. Theoretical Background 1. Theoretical and Empirical Foundations of Contemporary Psychodynamic Approaches, Patrick Luyten, Linda C. Mayes, Sidney J. Blatt, Mary Target, & Peter Fonagy 2. Attachment-Related Contributions to the Study of Psychopathology, Mario Mikulincer & Phillip R. Shaver 3. The Developmental Perspective, Norka Malberg & Linda C. Mayes 4. Neuroscience and Psychoanalysis, Andrew J. Gerber, Jane Viner, & Joshua Roffman 5. The Psychodynamic Approach to Diagnosis and Classification, Patrick Luyten & Sidney J. Blatt 6. Defenses as a Transdiagnostic Window on Psychopathology, Robert J. Waldinger & Marc S. Schulz II. Psychopathology in Adults 7. Depression, Sidney J. Blatt 8. Generalized Anxiety Disorder and Other Anxiety Disorders, Fredric N. Busch & Barbara L. Milrod 9. Trauma, Jon G. Allen & Peter Fonagy 10. Obsessive–Compulsive Disorder, Guy Doron, Mario Mikulincer, Michael Kyrios, & Dar Sar-El 11. Substance Use Disorders, William H. Gottdiener & Jesse J. Suh 12. Eating Disorders, Heather Thompson-Brenner & Lauren K. Richards 13. Psychosis, Susanne Harder & Bent Rosenbaum 14. Functional Somatic Disorders, Patrick Luyten, Manfred Beutel, & Golan Shahar 15. Personality Disorders, Kevin B. Meehan & Kenneth N. Levy 16. Dependent Personality Disorder, Robert F. Bornstein 17. Borderline Personality Disorder, John F. Clarkin, Peter Fonagy, Kenneth N. Levy, & Anthony Bateman III. Psychopathology in Childhood and Adolescence 18. Child–Parent Psychotherapy in the Treatment of Infants and Young Children with Internalizing Disorders, Maria S. St. John & Alicia F. Lieberman 19. Conduct Disorders, Jonathan Hill & Helen Sharp 20. Attachment Disorders, Miriam Steele & Howard Steele 21. Reflective and Mindful Parenting: A New Relational Model of Assessment, Prevention, and Early Intervention, John Grienenberger, Wendy Denham, & Diane Reynolds 22. Working with Families, Trudie Rossouw IV. Process and Outcome in Psychodynamic Psychotherapies 23. Efficacy of Psychodynamic Psychotherapy in Specific Mental Disorders: An Update, Falk Leichsenring, Johannes Kruse, & Sven Rabung 24. Beyond Transference: Fostering Growth Through Therapeutic Immediacy, Jared A. DeFife, Mark J. Hilsenroth, & Klara Kuutmann 25. Future Perspectives: A Research Agenda, Linda C. Mayes, Patrick Luyten, Sidney J. Blatt, Peter Fonagy, & Mary Target

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Book SynopsisResponding to evaluator and instructor demand, this book presents a diverse set of high-quality developmental evaluation (DE) case studies. Twelve insightful exemplars illustrate how DE is used to evaluate innovative initiatives in complex, dynamic environments, including a range of fields and international settings. Written by leading practitioners, chapters offer a rare window into what it takes to do DE, what roles must be fulfilled, and what results can be expected. Each case opens with an incisive introduction by the editors. The book also addresses frequently asked questions about DE, synthesizes key themes and lessons learned from the exemplars, and identifies eight essential principles of DE. See also Michael Quinn Patton's Developmental Evaluation, the authoritative presentation of DE.Trade Review"Central to this book is the notion that DE is principle-driven (a most refreshing change away from ‘best practices’). DE is about learning and adjusting innovations for systems change, providing a basis for evaluations that embrace adaptation as conditions shift. Whether you are an evaluation student, instructor, or practitioner, the cases will help you learn your way into DE. Use them as part of your ongoing apprenticeship, as DE is learned through practice. You will appreciate the emphasis on the readiness conditions needed for DE to flourish. For anyone committed to participatory inquiry and action research, this book will become a trusted companion."--Ricardo Ramirez, PhD, independent researcher and evaluation consultant, Guelph, Ontario, Canada "The contributors delve into the 'whats,' 'whys', and 'how-tos' of this powerful, adaptive model of evaluation. Chapters highlight key conceptual linkages to systems thinking and complexity theory and show how these ideas can come to life with community stakeholders and policymakers. The case studies are a treasure trove of powerful stories, practical guidance, and teaching tools that bring DE to life across populations, cultures, settings, and nations. Developmental Evaluation Exemplars represents a significant advancement in the theory, methods, and practice of evaluation and systems change."--Rebecca Campbell, PhD, Department of Psychology, Michigan State University "The field has been waiting for a book like this one. A well-balanced, diverse set of authors focus on good examples of DE practice. The book shows how innovative projects and programs require evaluation practices and approaches that honor complexity, flexibility, and systems thinking. It describes with clarity how DE actually happens in complex ecologies and settings across the globe. This book is written for any serious student of evaluation at the graduate or postgraduate level. I am very happy to add it to my shelf of required and recommended materials for my classes in education policy and evaluation."--Rodney Hopson, PhD, Department of Educational Psychology, University of Illinois at Urbana–Champaign "This book demonstrates that DE is not just about applying tools and methods; it's about how evaluators can think more creatively, critically, strategically, and rigorously. It’s also about building trusting, credible, ethical relationships. The exemplars will challenge you to bring forth your best thinking and relating as an evaluator."--Beverly A. Parsons, PhD, Executive Director, InSites, Fort Collins, Colorado -An excellent resource for anyone who needs to use this type of evaluation method.--Doody's Review Service, 2/29/2016Table of Contents1. State of the Art and Practice of Developmental Evaluation: Answers to Common and Recurring Questions, Michael Quinn Patton 2. Cultural Responsivenessthrough Developmental Evaluation: Indigenous Innovations in Sport and Traditional Maori Recreation, Nan Wehipeihana, Kate McKegg,Veronica Thompson, & Kataraina Pipi 3. Using Developmental Evaluation to Support College Access and Success: Challenge Scholars, Srik Gopal, Katelyn Mack, & Cris Kutzli 4.Nine Guiding Principles to Help Youth Overcome Homelessness: A Principles-Focused Developmental Evaluation, Nora F. Murphy 5. Fostering Learning through Developmental Evaluation with a Nontraditional Arts Organization and a Traditional Community Funder, Jamie Gamble, Shawn Van Sluys, & Lisa Watson 6. Scienceand How We Care for Needy Young Children: The Frontiers of Innovation Initiative, Julie Asher, Nathaniel Foote, James Radner, & Tassy Warren 7. Developmental Evaluation’s Role in Supporting Community-Led Solutions for Maori and Pacific Young People’s Educational Success: The ASB Community Trust Maori and Pacific Education Initiative, Kate McKegg, Nan Wehipeihana, Moi Becroft, & Jennifer Gill 8. Developmental Evaluation in the McKnight Foundation’s Collaborative Crop Research Program: A Journey of Discovery, Marah Moore & Jane Maland Cady 9. An Example of Patch Evaluation: Vibrant Communities Canada, Mark Cabaj, Eric Leviten-Reid, Dana Vocisano, & Mabel Jean Rawlins 10. Outcome Harvesting: ADevelopmental Evaluation Inquiry Framework Supporting the Development of an International Social Change Network, Ricardo Wilson-Grau, Paul Kosterink, & Goele Scheers 11. Adapted Developmental Evaluation with USAID’s People-to-People Reconciliation Fund Program, Susan M. Allen, David Hunsicker, Mathias Kjaer, Rebekah Krimmel, Gabrielle Plotkin, & Kelly Skeith 12. Creating Safety to Explore:Strengthening Innovation in an Australian Indigenous Primary Health Care Settingthrough Developmental Evaluation, Samantha Togni, Deborah Askew, Lynne Rogers, Nichola Potter, Sonya Egert, Noel Hayman, Alan Cass, & Alex Brown 13. Leadership’s Role in Building the Education Sector’s Capacity to Use Evaluative Thinking: The Example of the Ontario Ministry of Education, Keiko Kuji-Shikatani, Mary Jean Gallagher, Richard Franz, & Megan Börner 14. Developmental Evaluation in Synthesis: Practitioners’ Perspectives, Kate McKegg & Nan Wehipeihana 15. The Developmental Evaluation Mindset: Eight Guiding Principles, Michael Quinn Patton

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Book SynopsisPreparing students to become informed, critical consumers of research, this accessible text builds essential skills for understanding research reports, evaluating the implications for evidence-based practice, and communicating findings to different audiences. It demystifies qualitative, quantitative, and mixed methods designs and provides step-by-step procedures for judging the strengths and limitations of any study. Excerpts from real research reports are used as opportunities to develop methodological knowledge and practice analytic skills. Based on sound pedagogic principles, the text is structured for diverse learning styles: visual learners (concept maps, icons), active learners (building-block exercises and templates for writing), and story learners (examples, reading guides, and reflections). Pedagogical Features *Rubrics, checklists of steps to take, and reading guides that walk students through analyzing different types of research articles. *Journal abstracTrade Review"At last, we have a clearly written and extremely accessible book on research--both qualitative and quantitative--for students and others reading (and doing) research! Readers learn all the conventions of research that people usually have to discover on their own, such as how to cite people, use APA style, and even how to list references. The book explains when and how a researcher would use both qualitative and quantitative methods, including ways to use them together. The chapter on ethnography provides one of the best descriptions of this method and its complexities that I have seen."--Ann Lieberman, EdD, Senior Scholar, Stanford Center for Opportunity Policy in Education, Stanford University "As a teacher educator, I am concerned that my students develop the ability to understand just what the research in their field does and does not say, and the implications for practice. This very useful text will serve that goal. It is appropriate for introductory educational research courses for both preservice and inservice education students. I appreciate that the text is designed for readers with a variety of cognitive styles, and that it uses visual representations and concept maps to explain research processes. It discusses the assumptions and methodologies employed by different research designs and provides a great understanding of the limitations of descriptive research (especially test reports) to drive policy."--Katherine K. Merseth, EdD, Senior Lecturer and Director of Teacher Education, Harvard Graduate School of Education "The emphasis on research literacy is essential in training forward-thinking educators. Most students at the master's level will not be engaged in deep experimental research, but as future practitioners, they will need to understand the published research and conduct 'in-house' studies. That is where this book can serve its most important function. The discussion of sampling (often the weakest link in a research study) is very good. The final chapter, on doing reviews--a frequently overlooked topic--brings everything together and serves as an excellent synthesis."--Louis Berry, PhD, School of Education (Emeritus), University of Pittsburgh "This is a good introduction-to-research text, particularly for students not interested in doing research. The material on critiquing research articles is first-rate. You could depend on a student being able to critique a research article after successfully completing a course using this text."--Marilyn Petty Glick, PhD, Instructor, Department of Education, Indiana University Kokomo "I like the concept maps and the end-of-chapter resources and performance tasks."--Norma K. Clark, PhD, former director, Graduate Programs in Education, Delaware State University "The authors succinctly and logically summarize the salient features and designs most commonly aligned with qualitative researchers. They provide appropriate examples of scholarly work to illustrate the various designs."--Susan Kushner Benson, PhD, Department of Educational Foundations and Leadership, University of Akron -Table of ContentsI. Introduction to Research and Information Literacy 1. Introduction to Research Literacy 2. Information Literacy: Accessing and Searching Digital Resources II. Qualitative Research 3. Qualitative Research: Introduction and Overview 4. Ethnography 5. Other Qualitative Designs III. Quantitative Research: The Basics 6. Introduction to Quantitative Research 7. Descriptive Statistics and Data Displays IV. Experimental Research 8. Introduction to Experimental Research 9. Factorial Designs: Between-Group and Repeated-Measures Designs 10. Single-Subject Research and Designs V. Nonexperimental Research 11. Nonexperimental Group Comparisons 12. Correlations Research VI. Mixing and Creating Methods 13. Mixed Methods Research 14. Program Evaluation and Teacher Evaluation 15. Practitioner Research VII. Research Reviews 16. Professional Research Reviews 17. Writing a Student Review Essay Appendix. Sample Answers to Review Questions

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Book SynopsisPreparing students to become informed, critical consumers of research, this accessible text builds essential skills for understanding research reports, evaluating the implications for evidence-based practice, and communicating findings to different audiences. It demystifies qualitative, quantitative, and mixed methods designs and provides step-by-step procedures for judging the strengths and limitations of any study. Excerpts from real research reports are used as opportunities to develop methodological knowledge and practice analytic skills. Based on sound pedagogic principles, the text is structured for diverse learning styles: visual learners (concept maps, icons), active learners (building-block exercises and templates for writing), and story learners (examples, reading guides, and reflections). Pedagogical Features *Rubrics, checklists of steps to take, and reading guides that walk students through analyzing different types of research articles. *Journal abstracTrade Review"At last, we have a clearly written and extremely accessible book on research--both qualitative and quantitative--for students and others reading (and doing) research! Readers learn all the conventions of research that people usually have to discover on their own, such as how to cite people, use APA style, and even how to list references. The book explains when and how a researcher would use both qualitative and quantitative methods, including ways to use them together. The chapter on ethnography provides one of the best descriptions of this method and its complexities that I have seen."--Ann Lieberman, EdD, Senior Scholar, Stanford Center for Opportunity Policy in Education, Stanford University "As a teacher educator, I am concerned that my students develop the ability to understand just what the research in their field does and does not say, and the implications for practice. This very useful text will serve that goal. It is appropriate for introductory educational research courses for both preservice and inservice education students. I appreciate that the text is designed for readers with a variety of cognitive styles, and that it uses visual representations and concept maps to explain research processes. It discusses the assumptions and methodologies employed by different research designs and provides a great understanding of the limitations of descriptive research (especially test reports) to drive policy."--Katherine K. Merseth, EdD, Senior Lecturer and Director of Teacher Education, Harvard Graduate School of Education "The emphasis on research literacy is essential in training forward-thinking educators. Most students at the master's level will not be engaged in deep experimental research, but as future practitioners, they will need to understand the published research and conduct 'in-house' studies. That is where this book can serve its most important function. The discussion of sampling (often the weakest link in a research study) is very good. The final chapter, on doing reviews--a frequently overlooked topic--brings everything together and serves as an excellent synthesis."--Louis Berry, PhD, School of Education (Emeritus), University of Pittsburgh "This is a good introduction-to-research text, particularly for students not interested in doing research. The material on critiquing research articles is first-rate. You could depend on a student being able to critique a research article after successfully completing a course using this text."--Marilyn Petty Glick, PhD, Instructor, Department of Education, Indiana University Kokomo "I like the concept maps and the end-of-chapter resources and performance tasks."--Norma K. Clark, PhD, former director, Graduate Programs in Education, Delaware State University "The authors succinctly and logically summarize the salient features and designs most commonly aligned with qualitative researchers. They provide appropriate examples of scholarly work to illustrate the various designs."--Susan Kushner Benson, PhD, Department of Educational Foundations and Leadership, University of Akron -Table of ContentsI. Introduction to Research and Information Literacy 1. Introduction to Research Literacy 2. Information Literacy: Accessing and Searching Digital Resources II. Qualitative Research 3. Qualitative Research: Introduction and Overview 4. Ethnography 5. Other Qualitative Designs III. Quantitative Research: The Basics 6. Introduction to Quantitative Research 7. Descriptive Statistics and Data Displays IV. Experimental Research 8. Introduction to Experimental Research 9. Factorial Designs: Between-Group and Repeated-Measures Designs 10. Single-Subject Research and Designs V. Nonexperimental Research 11. Nonexperimental Group Comparisons 12. Correlations Research VI. Mixing and Creating Methods 13. Mixed Methods Research 14. Program Evaluation and Teacher Evaluation 15. Practitioner Research VII. Research Reviews 16. Professional Research Reviews 17. Writing a Student Review Essay Appendix. Sample Answers to Review Questions

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Book SynopsisGrounded in more than 20 years of research, this valid, reliable, easy-to-administer instrument is widely used by mental health, educational, and medical practitioners in screening, diagnosis, and treatment evaluation. Parent questionnaires on home behaviors (English and Spanish) and teacher questionnaires on classroom behaviors are keyed to DSM-5 diagnostic criteria for attention-deficit/hyperactivity disorder (ADHD). Each scale takes just 5 minutes to complete and comes in both a child (5-10) and adolescent (11-17) version, with developmentally appropriate symptom descriptions. Complete instructions are provided for scoring and interpretation, including separate scoring profiles for symptoms and impairments in boys and girls.New to This Edition: *Updated for DSM-5. *Separate adolescent versions of both home and school rating scales. *Includes functional impairment items linked to each symptom dimension (inattention symptoms and hyperactive-impulsiTrade Review"I have been eagerly awaiting the revision of this well-known rating scale for screening and diagnosing ADHD in youth! Not only is the scale quick and easy to administer and score, but its brevity and thoroughness make it an exceptional tool for assessing ADHD and measuring treatment effects. Unlike the majority of other instruments to assess ADHD, it contains current DSM terminology, and has both child and adolescent versions of the parent and teacher ratings. Another important update in this version is its inclusion of items to rate the severity of functional impairments in both inattention and/or hyperactive-impulsive symptoms."--Julie Schweitzer, PhD, Director, ADHD Program, MIND Institute, University of California, Davis "The ADHD Rating Scale–5 continues the excellence of its predecessor while incorporating improvements consistent with emerging research and diagnostic changes. The assessment of impairment and the inclusion of an adolescent version with developmentally appropriate item wording are wonderful additions. Clinical management of ADHD demands strong assessment tools, and the ADHD Rating Scale–5 meets this need. It is a clear choice for screening, assessing, and monitoring treatment outcome among children and adolescents with ADHD in clinic or school settings."--Charlotte Johnston, PhD, Professor and Director of Clinical Training, Department of Psychology, University of British Columbia, Vancouver, Canada "The release of the ADHD Rating Scale–5 is cause for celebration. Like prior versions, which are widely used in clinical and research settings, the updated scale is psychometrically sound and is based on extensive reliability and validity data. Adhering to DSM-5, the authors have improved the assessment of ADHD-associated impairments, and have also added important material on adolescent assessment. The chapter on interpretation and use provides an unusually clear and cogent discussion of how the scale should be used for diagnosis and screening. This is a trustworthy guide for clinicians and researchers and is also a useful tool for training graduate students, interns, and residents."--Stephen V. Faraone, PhD, Distinguished Professor and Vice Chair for Research, Department of Psychiatry, State University of New York Upstate Medical University "DuPaul and colleagues have created another excellent, psychometrically sound parent and teacher rating scale to assist in the screening and diagnosis of ADHD. Using DSM-5 criteria, the authors have improved this version of the scale by adding developmentally appropriate wording for adolescents as well as ratings of impairment. Like the previous version, this scale will soon become the standard in the field."--Steven W. Evans, PhD, Professor of Psychology and Co-Director, Center for Intervention Research in Schools, Ohio University -A rating scale that is easy to use and score and that provides useful, DSM-5 specific information about ADHD symptoms in children and adolescents. It has demonstrated utility in both clinical and school settings. The test authors have provided strong support for the psychometric properties of the instrument, which are discussed in the user-friendly test manual. The opportunity for ratings from both parents and teachers and for both children and adolescents is a strength of the measure.--Buros Center for Testing: The Twenty-First Mental Measurements Yearbook, 05/01/2019ƒƒIf you are looking for an easy to use assessment that is a reliable and valid measure of ADHD, this is a manual to add to your bookshelf. The entire form takes only a few minutes to score, and it elicits more objective data for evaluating your students.--School Social Work Journal, 10/02/2017Table of Contents1. Introduction to the ADHD Rating Scales 2. Factor Analysis 3. Standardization and Normative Data 4. Reliability and Validity 5. Interpretation and Use of the Scales for Diagnostic and Screening Purposes 6. Interpretation and Use of the Scales for Evaluating Treatment Outcome Appendix. Rating Scales and Scoring Sheets Attention and Behavior Rating Form, Home Version: Child (English) Attention and Behavior Rating Form, Home Version: Adolescent (English) Attention and Behavior Rating Form, Home Version: Child (Spanish) Attention and Behavior Rating Form, Home Version: Adolescent (Spanish) ADHD Rating Scale–5, Home Version: Symptom Scoring Sheet for Boys ADHD Rating Scale–5, Home Version: Symptom Scoring Sheet for Girls ADHD Rating Scale–5, Home Version: Impairment Scoring Sheet for Boys ADHD Rating Scale–5, Home Version: Impairment Scoring Sheet for Girls Attention and Behavior Rating Form, School Version: Child Attention and Behavior Rating Form, School Version: Adolescent ADHD Rating Scale–5, School Version: Symptom Scoring Sheet for Boys ADHD Rating Scale–5, School Version: Symptom Scoring Sheet for Girls ADHD Rating Scale–5, School Version: Impairment Scoring Sheet for Boys ADHD Rating Scale–5, School Version: Impairment Scoring Sheet for Girls

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Book SynopsisOffering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and Practical Matters sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.Trade ReviewCard is to be applauded for his thorough discussion of both the fundamentals and recent advances in meta-analysis, and for his use of such friendly, toned-down language. For instance, the graphical presentation of simulation results in order to explain the threat/impact of publication bias will really help readers understand the concept. I really like the author’s discussions of practical matters, which may stimulate readers to investigate new approaches and practices. I will recommend this book to my colleagues in psychology and education who are interested in learning meta-analysis.--Soyeon Ahn, PhD, Research, Measurement, and Evaluation Program, University of MiamiThis book teaches individuals how to do a meta-analysis from start to finish. Readers learn how to search the literature, code studies, statistically combine study results, and write up the results. Card covers topics not included in most textbooks, such as how to retrieve unpublished studies, the creation of a coding manual, effect sizes from multiple regression analysis, publication bias, and multivariate procedures in meta-analysis. I like the 'Practical Matters' sections in the chapters. This is an excellent textbook for a course on meta-analysis, and an excellent manual for anyone wanting to conduct a meta-analysis.--Brad J. Bushman, PhD, Institute for Social Research, University of MichiganThe book is well organized and walks the reader through the concepts in an accessible, logical manner. The definitions and explanations are clear and easy to follow, and the consistent use of examples throughout the chapters is very helpful. The author does a nice job of presenting key considerations, alternative approaches, and the strengths and shortcomings of each option. The reading level and writing style are appropriate for graduate student readers.--Jody A. Worley, PhD, Department of Human Relations, University of Oklahoma-Tulsa- Card's book is written in a nontechnical style that would work well in a graduate course, or it could be used by someone who is just learning meta-analysis. Card takes the reader through the multiple steps in creating a meta-analytic study, such as retrieving studies, creating a coding manual, and using effect size indices, as well as how to write a meta-analytic review paper. His book is peppered with examples of the technique, which makes the topic more accessible and easier to understand. He also provides advice on the utility of meta-analysis software, such as how it can be used and whether it is needed. This book is written like a good recipe that the reader can follow from beginning to end to produce a meta-analytic study ready to submit for publication....Describes how to do meta-analysis without bogging down the reader with equations. Card offers simple explanations of what to do in meta-analysis and provides enough background so that the reader can understand the rationale behind procedures and why the procedures need to be completed. --PsycCRITIQUES, 7/27/2012Table of ContentsI. The Blueprint: Planning and Preparing a Meta-Analytic Review 1. An Introduction to Meta-Analysis 1.1 The Need for Research Synthesis in the Social Sciences 1.2 Basic Terminology 1.3 A Brief History of Meta-Analysis 1.4 The Scientific Process of Research Synthesis 1.5 An Overview of the Book 1.6 Practical Matters: A Note on Software and Information Management 1.7 Summary 1.8 Recommended Readings 2. Questions That Can and Questions That Cannot Be Answered through Meta-Analysis 2.1 Identifying Goals and Research Questions for Meta-Analysis 2.2 The Limits of Primary Research and the Limits of Meta-Analytic Synthesis 2.3 Critiques of Meta-Analysis: When Are They Valid and When Are They Not? 2.4 Practical Matters: The Reciprocal Relation between Planning and Conducting a Meta-Analysis 2.5 Summary 2.6 Recommended Readings 3. Searching the Literature 3.1 Developing and Articulating a Sampling Frame 3.2 Inclusion and Exclusion Criteria 3.3 Finding Relevant Literature 3.4 Reality Checking: Is My Search Adequate? 3.5 Practical Matters: Beginning a Meta-Analytic Database 3.6 Summary 3.7 Recommended Readings II. The Building Blocks: Coding Individual Studies 4. Coding Study Characteristics 4.1 Identifying Interesting Moderators 4.2 Coding Study “Quality” 4.3 Evaluating Coding Decisions 4.4 Practical Matters: Creating an Organized Protocol for Coding 4.5 Summary 4.6 Recommended Readings 5. Basic Effect Size Computation 5.1 The Common Metrics: Correlation, Standardized Mean Difference, and Odds Ratio 5.2 Computing r from Commonly Reported Results 5.3 Computing g from Commonly Reported Results 5.4 Computing o from Commonly Reported Results 5.5 Comparisons among r, g, and o 5.6 Practical Matters: Using Effect Size Calculators and Meta-Analysis Programs 5.7 Summary 5.8 Recommended Readings 6. Corrections to Effect Sizes 6.1 The Controversy of Correction 6.2 Artifact Corrections to Consider 6.3 Practical Matters: When (and How) to Correct: Conceptual, Methodological, and Disciplinary Considerations 6.4 Summary 6.5 Recommended Readings 7. Advanced and Unique Effect Size Computation 7.1 Describing Single Variables 7.2 When the Metric Is Meaningful: Raw Difference Scores 7.3 Regression Coefficients and Similar Multivariate Effect Sizes 7.4 Miscellaneous Effect Sizes 7.5 Practical Matters: The Opportunities and Challenges of Meta-Analyzing Unique Effect Sizes 7.6 Summary 7.7 Recommended Readings III. Putting the Pieces Together: Combining and Comparing Effect Sizes 8. Basic Computations: Computing Mean Effect Size and Heterogeneity around This Mean 8.1 The Logic of Weighting 8.2 Measures of Central Tendency in Effect Sizes 8.3 Inferential Testing and Confidence Intervals of Average Effect Sizes 8.4 Evaluating Heterogeneity among Effect Sizes 8.5 Practical Matters: Nonindependence among Effect Sizes 8.6 Summary 8.7 Recommended Readings 9. Explaining Heterogeneity among Effect Sizes: Moderator Analyses 9.1 Categorical Moderators 9.2 Continuous Moderators 9.3 A General Multiple Regression Framework for Moderation 9.4 An Alternative SEM Approach 9.5 Practical Matters: The Limits of Interpreting Moderators in Meta-Analysis 9.6 Summary 9.7 Recommended Readings 10. Fixed-, Random-, and Mixed-Effects Models 10.1 Differences among Models 10.2 Analyses of Random-Effects Models 10.3 Mixed-Effects Models 10.4 A Structural Equation Modeling Approach to Random- and Mixed-Effects Models 10.5 Practical Matters: Which Model Should I Use? 10.6 Summary 10.7 Recommended Readings 11. Publication Bias 11.1 The Problem of Publication Bias 11.2 Managing Publication Bias 11.3 Practical Matters: What Impact Do Sampling Biases Have on Meta-Analytic Conclusions? 11.4 Summary 11.5 Recommended Readings 12. Multivariate Meta-Analytic Models 12.1 Meta-Analysis to Obtain Sufficient Statistics 12.2 Two Approaches to Multivariate Meta-Analysis 12.3 Practical Matters: The Interplay between Meta-Analytic Models and Theory 12.4 Summary 12.5 Recommended Readings IV. The Final Product: Reporting Meta-Analytic Results 13. Writing Meta-Analytic Results 13.1 Dimensions of Literature Reviews, Revisited 13.2 What to Report and Where to Report It 13.3 Using Figures and Tables in Reporting Meta-Analyses 13.4 Practical Matters: Avoiding Common Problems in Reporting Results of Meta-Analyses 13.5 Summary 13.6 Recommended Readings References Author Index Subject Index About the Author

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Book SynopsisExamining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.Trade Review"Weakliem offers a principled discussion of statistical methods for model selection and demonstrates them on applied problems in the social sciences. This thoughtful work should influence both statistical theory and social science practice."--Andrew Gelman, PhD, Department of Statistics, Columbia University "One of the most difficult and complicated problems in any statistical analysis is model selection. In this comprehensive book, Weakliem provides a cogent and accessible presentation of existing thinking and methods. A 'must read' for any sociologist who is a serious applied quantitative researcher."--Christopher Winship, PhD, Diker–Tishman Professor of Sociology, Harvard University "I especially appreciate this book's careful treatment of the philosophical arguments underlying hypothesis testing and the historical approaches that have been taken to the model selection problem. The question addressed here is not 'Which statistical test or approach should I use?' but rather, 'How can model specification, estimation, and statistical estimation advance what is known about a particular problem?' The book makes a convincing case for the utility of both traditional and Bayesian approaches--instead of calling for a Bayesian revolution--and leads quite logically to a number of ways that conventional practice can be improved. Rich bibliographies at the end of each chapter provide sources for further reading."--Phillip K. Wood, PhD, Department of Psychological Sciences, University of Missouri -Table of Contents1. Hypothesis Testing and Model Selection 1.1. Introduction 1.2. Standard Procedure of Hypothesis Testing 1.3. Model Selection 1.4. Purpose and Plan of the Book 2. Hypothesis Testing: Criticisms and Alternatives 2.1. Hypothesis Testing and Its Discontents 2.2. Uses of Hypothesis Tests 2.3. Criticisms of Conventional Hypothesis Testing 2.4. Implications of the Criticisms 2.5. Alternatives to Conventional Tests 2.6. Examples 2.7. Summary and Conclusions Recommended Reading 3. The Classical Approach 3.1. Random Sampling and Classical Tests 3.2. Two Approaches to Hypothesis Tests 3.3. Confidence Intervals 3.4. Choosing a Significance Level 3.5. Comparison to Conventional Practice 3.6. Implications of Choosing an α-level 3.7. Other Kinds of Errors 3.8. Example of Choosing an α-level 3.9. Evaluation of Criticisms 3.10. Conclusions Recommended Reading 4. Bayesian Hypothesis Tests 4.1. Bayes's Theorem 4.2. Bayesian Estimation 4.3. Bayes Factors 4.4. Bayesian Confidence Intervals and Bayes Factors 4.5. Approaches to Bayesian Hypothesis Testing 4.6. The Unit Information Prior 4.7. Limits on Bayes Factors 4.8. Bayes Factors for Multiple Parameters 4.9. Conclusions Recommended Reading 5. The Akaike Information Criterion 5.1. Information 5.2. Prediction and Model Selection 5.3. The AIC 5.4. Consistency and Efficiency 5.5. Cross-Validation and the AIC 5.6. A Classical Perspective on the AIC 5.7. A Bayesian Perspective on the AIC 5.8. A General Class of Model Selection Criteria 5.9. Summary and Conclusions Recommended Reading 6. Three-Way Decisions 6.1. Substantive and Statistical Hypotheses 6.2. Bayes Factors for Directional Hypotheses 6.3. Bayes Factors for Three-Way Decisions 6.4. Summary and Conclusions Recommended Reading 7. Model Selection 7.1. Introduction 7.2. Bayesian Model Selection 7.3. The Value of Model Selection 7.4. The Risks of Model Selection 7.5. Examples of Model Selection 7.6. Conclusions Recommended Reading 8. Hypothesis Tests 8.1. Hypothesis Tests and the Strength of Evidence 8.2. When Should Hypotheses Be Tested? 8.3. The Role of Hypothesis Tests 8.4. Overfitting 8.5. Hypothesis Tests and the Development of Theory 8.6. Conclusions Recommended Reading References

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Book SynopsisGrowth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate applicTrade Review"This is by far the most comprehensive, up-to-date, and ready-to-use book on growth modeling that I have ever seen. The authors have proven records in effectively teaching classes and workshops on longitudinal data analysis. This is a 'must have' for anyone who wants to develop or apply growth models. The SAS, Mplus, and OpenMx example scripts and instructions are long-needed complements to those programs' respective manuals. Coverage includes the most recent developments in growth modeling, and each chapter essentially can stand by itself, providing enough information for researchers to apply the respective models in their studies to answer more complex and interesting empirical questions. The book can be used in a range of classes either as a main text or a supplement. I will definitely recommend it to students in my Structural Equation Modeling class when I teach structural growth curve modeling."--Zhiyong Johnny Zhang, PhD, Department of Psychology, University of Notre Dame "The implementation details are superb and the level of technical detail quite stunning. It will be so helpful for longitudinal researchers to have this compendium of growth models, complete with sample code from both SEM and multilevel modeling frameworks. It is wonderful to see the item response theory and SEM frameworks so nicely integrated. The authors have hit the trifecta--pulling together multilevel modeling, SEM, and item response theory. There is truly no other book on the market that covers latent growth modeling so completely and comprehensively."--D. Betsy McCoach, PhD, Measurement, Evaluation, and Assessment Program, Neag School of Education, University of Connecticut "This is the most thorough work on this subject that I know of; the coverage of nonlinear models is among the best I have seen. The book is written at a level suitable for an advanced graduate student learning this material or an applied researcher seeking a reference on the subject. It introduces the basics, discusses the relevant model theory/specification, and presents programming code for several packages. The authors do an exceptional job of explaining the computer code and providing insight into convergence issues and how to remedy them. It is good to have this all in one place (along with the respective output) for comparative purposes."--Daniel A. Powers, PhD, Department of Sociology, University of Texas at Austin "This well-written book starts with clear statements about what research questions can be answered using growth models. Usefully, the authors include both multilevel modeling and SEM approaches, and analyze the example data within each framework using one proprietary program and one freely available R package. Viewing the detailed code and the results of each analysis gives the reader a chance to understand the strengths and weaknesses of each approach. Later chapters address such developments as nonlinear growth models and growth models for noncontinuous outcomes. Code for each variation is given, which expand the researcher's capacity to fit these complex models."--Yasuo Miyazaki, PhD, Associate Professor of Educational Research and Evaluation Program, Virginia Tech "The importance that researchers and practitioners are placing on longitudinal designs and analyses signals a prominent shift toward methods that enable a better understanding of the developmental processes thought to underlie many human traits and behaviors. This book provides the essential background on latent growth models and covers several interesting methodological extensions, including models for nonlinear change, growth mixture models, and longitudinal models for assessing change in latent variables. Practical examples are woven throughout the text, accompanied by extensive annotated code in SAS, Mplus, and R, which makes both basic and more complex models accessible. This is a wonderful resource for anyone serious about longitudinal data analysis."--Jeffrey R. Harring, PhD, Department of Human Development and Quantitative Methodology, University of Maryland "I highly recommend this book. It is a tour de force in model building with latent growth curves. The authors' use of three programming languages (Mplus, SAS, and R) is great, and they work with computer programs in an unusually careful way. The book will be of value to anyone dealing with longitudinal data."--John J. McArdle, PhD, Department of Psychology, University of Southern California -An accessible resource that provides a thorough introduction to frequently used longitudinal models….An invaluable resource for students and scholars….This book would be excellent reading material for students in various disciplines, such as psychology and education, that provide either introductory or advanced longitudinal graduate courses.--Psychometrika, 03/01/2019Table of ContentsI. Introduction and Organization 1. Overview, Goals of Longitudinal Research, and Historical Developments Overview Five Rationales for Longitudinal Research Historical Development of Growth Models Modeling Frameworks and Programs 2. Practical Preliminaries: Things to Do before Fitting Growth Models Data Structures Longitudinal Plots Data Screening Longitudinal Measurement Time Metrics Change Hypotheses Incomplete Data Moving Forward II. The Linear Growth Model and Its Extensions 3. Linear Growth Models Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 4. Continuous Time Metrics Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 5. Linear Growth Models with Time-Invariant Covariates Multilevel Model Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 6. Multiple-Group Growth Modeling Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 7. Growth Mixture Modeling Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Model Fit, Model Comparison, and Class Enumeration Important Considerations Moving Forward 8. Multivariate Growth Models and Dynamic Predictors Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward III. Nonlinearity in Growth Modeling 9. Introduction to Nonlinearity Organization for Nonlinear Change Models Moving Forward 10. Growth Models with Nonlinearity in Time Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 11. Growth Models with Nonlinearity in Parameters Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward 12. Growth Models with Nonlinearity in Random Coefficients Multilevel Modeling Framework Multilevel Modeling Implementation Structural Equation Modeling Framework Structural Equation Modeling Implementation Important Considerations Moving Forward IV. Modeling Change with Latent Entities 13. Modeling Change with Ordinal Outcomes Dichotomous Outcomes Polytomous Outcomes Illustration Multilevel Modeling Implementation Structural Equation Modeling Implementation Important Considerations Moving Forward 14. Modeling Change with Latent Variables Measured by Continuous Indicators Common-Factor Model Factorial Invariance over Time Second-Order Growth Model Illustration Structural Equation Modeling Implementation Important Considerations Moving Forward 15. Modeling Change with Latent Variables Measured by Ordinal Indicators Item Response Modeling Second-Order Growth Model Illustration Important Considerations Moving Forward V. Latent Change Scores as a Framework for Studying Change 16. Introduction to Latent Change Score Modeling General Model Specification Models of Change Illustration Structural Equation Modeling Implementation Important Considerations Moving Forward 17. Multivariate Latent Change Score Models Autoregressive Cross-Lag Model Multivariate Growth Model Multivariate Latent Change Score Model Illustration Structural Equation Modeling Implementation Important Considerations Moving Forward 18. Rate-of-Change Estimates in Nonlinear Growth Models Growth Rate Models Latent Change Score Models Illustration Multilevel Modeling Implementation Structural Equation Modeling Implementation Important Considerations Appendix A. A Brief Introduction to Multilevel Modeling Illustrative Example Multilevel Modeling and Longitudinal Data Appendix B. A Brief Introduction to Structural Equation Modeling Illustrative Example Structural Equation Modeling and Longitudinal Data References Author Index Subject Index About the Authors

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Book SynopsisSynthesizing the literature from the survey and measurement fields, this book explains how to develop closed-response survey scales that will accurately capture such constructs as attitudes, beliefs, or behaviors. It provides guidelines to help applied researchers or graduate students review existing scales for possible adoption or adaptation in a study; create their own conceptual framework for a scale; write checklists, true-false variations, and Likert-style items; design response scales; examine validity and reliability; conduct a factor analysis; and document the instrument development and its technical quality. Advice is given on constructing tables and graphs to report survey scale results. Concepts and procedures are illustrated with Not This/But This examples from multiple disciplines. User-Friendly Features *End-of-chapter exercises with sample solutions, plus annotated suggestions for further reading. *Not This/But This examples of poorly written and stronTrade Review“Survey Scales is packed with helpful information and is easy to understand and navigate for specific issues. This is a great go-to guide for students, especially since it is reasonably priced.”--Sean Kelly, PhD, Department of Administrative and Policy Studies, University of Pittsburgh School of Education "Most texts on measurement and scale development focus on testing, with very little in the way of help for those constructing surveys, making this book an important contribution. I am particularly impressed by the very reader-friendly tone and the detailed discussions of all aspects of survey scale development, from the basics of writing items through the pilot testing of a survey. Practitioners and students alike will be able to pick up this book and immediately apply it to their own work. Survey Scales could serve as the primary text for a course devoted to survey or instrument design, and would be a very nice supplementary text for a general course on measurement."--Holmes Finch, PhD, George and Frances Ball Distinguished Professor of Educational Psychology, Ball State University "The ubiquity of surveys in research and evaluation holds potential for poor practice and inaccurate findings. Johnson and Morgan have provided an intelligent and comprehensive guide that will strengthen the researcher's or evaluator's ability to choose, design, implement, and analyze surveys. The authors describe research-based strategies for survey development and include many examples. They offer clear and accessible guidance for the entire process, even when it comes to complex topics like establishing the quality of survey instruments."--Donna M. Mertens, PhD, Department of Education (Emeritus), Gallaudet University "The book is clearly written and includes detailed, practical advice on everything from defining the conceptual framework of a survey and writing questions to exploratory factor analysis and reporting results. It succinctly answers questions that commonly arise in survey research, such as 'How many response categories should I use?' and 'Should I use a middle response category?' The authors are masterful at identifying and addressing critical aspects of survey research. This book will be of use to a wide range of researchers in the social sciences. It will prepare newcomers to survey research for high-quality data collection and sophisticated data analysis."--J. Patrick Meyer, PhD, Curry School of Education, University of Virginia "One of the few books that provides a comprehensive description of the survey development process from beginning to end, with examples from various disciplines and a glossary of terms. The book addresses issues that researchers must be cognizant of when constructing a questionnaire or interpreting findings. This is a great resource for individuals learning about survey development for the first time, as well as those in need of a refresher."--Dorinda J. Gallant, PhD, Department of Educational Studies, The Ohio State University "Presenting best practices in measurement and survey design, this handbook is a very helpful reference for students and practitioners conducting survey research. It guides readers through every step of survey development and provides thorough yet concise information on a large range of topics. The text is clearly organized, easy to read, and includes examples from a variety of fields."--Diana L. Mindrila, PhD, Department of Leadership, Research, and School Improvement, University of West Georgia -Table of Contents1. Scales in Surveys Introduction An Overview of the Survey Scale Development Process Attitudes, Knowledge, and Behaviors Key Qualities of a Survey Scale: Reliability and Validity Further Reading Chapter Exercises 2. Adopting or Adapting an Existing Scale Introduction Reviewing Potential Instruments for Adoption or Adaptation The Mental Measurements Yearbook: A Source for Reviews of Instruments Plagiarism and Copyright Infringement Further Reading Chapter Exercises 3. Establishing a Framework for the Development of a Survey Scale Introduction Elements and Format Functions of the Conceptual Framework in the Development of a Survey Scale Construction of a Conceptual Framework Further Reading Chapter Exercises 4. Item-Writing Guidelines Introduction Addressing Relevance Addressing Audience Addressing Language Addressing Item Structure Addressing Conventions Guidelines Specific to Item Type Number of Items Further Reading Chapter Exercises 5. Development of Response Scales Introduction Length of the Item Response Scale Numeric and Verbal Response Labels The Questionable Middle Position Further Reading Chapter Exercises 6. Formatting and Reviewing Introduction Survey Format and Administration Method Item Formats Specific to Administration Methods Complete Reviews and a Pilot of the Survey Scale Further Reading Chapter Exercises 7. Analysis of Survey Scale Data Introduction Levels of Measurement Frequencies Measures of Central Tendency Measures of Variability Measures of Association Obtaining Descriptive Statistics Further Reading Chapter Exercises 8. Investigating Scale Quality Introduction Field Testing Response Distributions: Item Quality Investigating Reliability Investigating Validity Further Reading Chapter Exercises 9. Factor Analysis Introduction General Purposes and Processes Associated with Factor-Analytic Procedures Testing Assumptions Dimensionality Extraction: Principal Axis Factoring Determining the Number of Factors (Model Selection) Rotation How to Interpret Factor Solutions Calculating Factor Scores Sample Size Steps after EFA How to Obtain an EFA Model Further Reading Chapter Exercises 10. Documenting the Development of the Survey Scale Introduction Determining the Need for a Data Display Developing Tables Table Structure Table Data Developing Graphs Structure of a Graph Organization of Data in a Graph Narrative about Table or Graph Concluding Thoughts Further Reading Chapter Exercises Appendix. Analysis of Data: Inferential Statistics Introduction Sampling Inferential Statistics Inferential Procedures Nonparametric Inferential Statistics Further Reading Appendix Exercises Sample Solutions to Chapter Exercises Glossary of Key Terms References Author Index Subject Index About the Authors

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Book SynopsisDemystifying the evaluation journey, this is the first evaluation mentoring book that addresses the choices, roles, and challenges that evaluators must navigate in the real world. Experienced evaluator and trainer Donna R. Podems covers both conceptual and technical aspects of practice in a friendly, conversational style. She focuses not just on how to do evaluations but how to think like an evaluator, fostering reflective, ethical, and culturally sensitive practice. Extensive case examples illustrate the process of conceptualizing and implementing an evaluation--clarifying interventions, identifying beneficiaries, gathering data, discussing results, valuing, and developing recommendations. The differences (and connections) between research, evaluation, and monitoring are explored. Handy icons identify instructive features including self-study exercises, group activities, clarifying questions, facilitation and negotiation techniques, insider tips, advice, and resources. Purchasers cTrade Review"I love this book! I learned a great deal and gleaned many new ideas for explaining and teaching complex topics, such as the difference between assessment and measurement. The author masterfully describes important aspects of evaluation. I particularly enjoy the way she breaks down the problem statement into 'grand' and 'pocket' problems. I also really like the idea of developing each step of program logic by assessing the difference between fact and assumption. This is marvelous because it backs into a logic model with program theory already in place."--Mary E. Arnold, PhD, College of Public Health and Human Sciences, Oregon State University "Being an evaluator is, for Podems, a way of being--active in asking questions, responsive to context, open to where the data lead, and committed to useful results. This way of being is the basis for this practical book. The author's perspective and knowledge--grounded in extensive international experience, informed by theory, and rooted in values--make her the consummate evaluation guide. This book covers the whole territory of evaluation with wit and wisdom. Join Podems for an exquisite journey into the world of evaluation practice."--Michael Quinn Patton, PhD, Director, Utilization-Focused Evaluation, Saint Paul, Minnesota "Highly recommended. This text offers a very distinctive perspective on what it means to be an evaluator. Skillfully juxtaposing theory and real-world issues, the book uniquely prepares aspiring evaluators for what they will encounter when actually conducting an evaluation. From conceptualization to implementation and dissemination, the text covers the vital challenges evaluators struggle with in every project. Drawing on a wealth of evaluation experience, the author offers needed guidance."--Neil J. Vincent, PhD, Department of Social Work, DePaul University "Those who find themselves performing evaluations as part of their jobs will find this book invaluable. In a single volume, philosophical underpinnings, as well as ethics and standards, are combined with the technical aspects of practice--together with helpful tips, activities, and facilitative strategies. As a supplement to formal training, this is the 'all-in-one' manual for evaluation practitioners."--Aimee N. White, MEd, Custom Evaluation Services, Mount Pleasant, South Carolina "This book's accessibility gives it a major advantage over many program evaluation texts, which tend to be dry and dense. For students new to program evaluation, readability is a major factor in comprehension, and will make them more likely to read the assigned chapters. The 'call-outs' with icons break up the text and add value to our understanding of evaluation by providing examples and exercises that bring the concepts, theories, and techniques to life."--John Klemanski, PhD, Department of Political Science, Oakland University "This book reflects Podems's immense and deep understanding of the subject of evaluation. It comes at a time when evaluative thinking and action is necessary for the achievement of the Sustainable Development Goals and Agenda 2030. Written in an appealing, accessible style, the book is solidly rooted in the language and concepts of the research and evaluation community. It takes a pragmatic approach, dealing with real-world issues such as weak and poor data and conflicting values, to name a few. I highly recommend this book to evaluators, new and seasoned--it is a major contribution to the global discipline."--Indran A. Naidoo, PhD, Director, Independent Evaluation Office, United Nations Development Programme "Podems takes a most pragmatic and practical approach--who else has thought of using dog and cat food, or a child’s colorful building blocks, to clarify evaluation terminology? What really makes this book stand apart from others is the rich discussion of being an evaluator and the values that confers. Rarely, if ever, do we get such rich detail on the personal, scholarly, and cultural side of evaluation."--Richard Caldwell, MS, Senior Program Officer, Bill and Melinda Gates Foundation -Donna Podems has a wealth of experience and easily engages the reader in an exploration of the field with appropriately attenuated aplomb and generously sprinkled humor….She provides [a] broad definition of the field, describing practice in friendly ways, and spends a good deal of time translating her experience into practical and prescriptive lessons. She intends, and succeeds at, 'demystifying' evaluation practice and exploring what it means to be an evaluator….Dr. Podems deftly uses stories from the field, friendly insider secrets, a consistent evaluand as an example, and other well-applied storytelling mechanisms to make the endeavor less mysterious. The novice and experienced evaluator will [gain] purchase with the examples she leverages to make evaluation more accessible.--Journal of MultiDisciplinary Evaluation, 5/1/2019Table of ContentsI. Doing Evaluation and Thinking Evaluatively 1. Speaking the Language 2. The Tale of the Researcher and Evaluator 3. Starting the Evaluative Journey 4. How We Know What We Know and Why We Think That 5. Data and Credibility: What Inquiring Evaluator Minds Need to Know 6. Linking Problem Statements, Interventions, and Results 7. All about Results 8. Talking Intervention Theory (and Logic) 9. Assessing and Evaluating Progress 10. Completing the Evaluation Journey: Pulling It All Together II. Working as an Evaluator and Exploring Evaluation 11. The Personal Choices of Being an Evaluator 12. Thinking about Values 13. Thinking about Power, Politics, Culture, Language, and Context 14. The Scholarly Side of Being an Evaluator 15. Navigating the Maze of Evaluation Choices 16. The World of Recommendations 17. The Dirty Laundry Chapter Epilogue

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Book SynopsisDemystifying the evaluation journey, this is the first evaluation mentoring book that addresses the choices, roles, and challenges that evaluators must navigate in the real world. Experienced evaluator and trainer Donna R. Podems covers both conceptual and technical aspects of practice in a friendly, conversational style. She focuses not just on how to do evaluations but how to think like an evaluator, fostering reflective, ethical, and culturally sensitive practice. Extensive case examples illustrate the process of conceptualizing and implementing an evaluation--clarifying interventions, identifying beneficiaries, gathering data, discussing results, valuing, and developing recommendations. The differences (and connections) between research, evaluation, and monitoring are explored. Handy icons identify instructive features including self-study exercises, group activities, clarifying questions, facilitation and negotiation techniques, insider tips, advice, and resources. Purchasers cTrade Review"I love this book! I learned a great deal and gleaned many new ideas for explaining and teaching complex topics, such as the difference between assessment and measurement. The author masterfully describes important aspects of evaluation. I particularly enjoy the way she breaks down the problem statement into 'grand' and 'pocket' problems. I also really like the idea of developing each step of program logic by assessing the difference between fact and assumption. This is marvelous because it backs into a logic model with program theory already in place."--Mary E. Arnold, PhD, College of Public Health and Human Sciences, Oregon State University "Being an evaluator is, for Podems, a way of being--active in asking questions, responsive to context, open to where the data lead, and committed to useful results. This way of being is the basis for this practical book. The author's perspective and knowledge--grounded in extensive international experience, informed by theory, and rooted in values--make her the consummate evaluation guide. This book covers the whole territory of evaluation with wit and wisdom. Join Podems for an exquisite journey into the world of evaluation practice."--Michael Quinn Patton, PhD, Director, Utilization-Focused Evaluation, Saint Paul, Minnesota "Highly recommended. This text offers a very distinctive perspective on what it means to be an evaluator. Skillfully juxtaposing theory and real-world issues, the book uniquely prepares aspiring evaluators for what they will encounter when actually conducting an evaluation. From conceptualization to implementation and dissemination, the text covers the vital challenges evaluators struggle with in every project. Drawing on a wealth of evaluation experience, the author offers needed guidance."--Neil J. Vincent, PhD, Department of Social Work, DePaul University "Those who find themselves performing evaluations as part of their jobs will find this book invaluable. In a single volume, philosophical underpinnings, as well as ethics and standards, are combined with the technical aspects of practice--together with helpful tips, activities, and facilitative strategies. As a supplement to formal training, this is the 'all-in-one' manual for evaluation practitioners."--Aimee N. White, MEd, Custom Evaluation Services, Mount Pleasant, South Carolina "This book's accessibility gives it a major advantage over many program evaluation texts, which tend to be dry and dense. For students new to program evaluation, readability is a major factor in comprehension, and will make them more likely to read the assigned chapters. The 'call-outs' with icons break up the text and add value to our understanding of evaluation by providing examples and exercises that bring the concepts, theories, and techniques to life."--John Klemanski, PhD, Department of Political Science, Oakland University "This book reflects Podems's immense and deep understanding of the subject of evaluation. It comes at a time when evaluative thinking and action is necessary for the achievement of the Sustainable Development Goals and Agenda 2030. Written in an appealing, accessible style, the book is solidly rooted in the language and concepts of the research and evaluation community. It takes a pragmatic approach, dealing with real-world issues such as weak and poor data and conflicting values, to name a few. I highly recommend this book to evaluators, new and seasoned--it is a major contribution to the global discipline."--Indran A. Naidoo, PhD, Director, Independent Evaluation Office, United Nations Development Programme "Podems takes a most pragmatic and practical approach--who else has thought of using dog and cat food, or a child’s colorful building blocks, to clarify evaluation terminology? What really makes this book stand apart from others is the rich discussion of being an evaluator and the values that confers. Rarely, if ever, do we get such rich detail on the personal, scholarly, and cultural side of evaluation."--Richard Caldwell, MS, Senior Program Officer, Bill and Melinda Gates Foundation -Donna Podems has a wealth of experience and easily engages the reader in an exploration of the field with appropriately attenuated aplomb and generously sprinkled humor….She provides [a] broad definition of the field, describing practice in friendly ways, and spends a good deal of time translating her experience into practical and prescriptive lessons. She intends, and succeeds at, 'demystifying' evaluation practice and exploring what it means to be an evaluator….Dr. Podems deftly uses stories from the field, friendly insider secrets, a consistent evaluand as an example, and other well-applied storytelling mechanisms to make the endeavor less mysterious. The novice and experienced evaluator will [gain] purchase with the examples she leverages to make evaluation more accessible.--Journal of MultiDisciplinary Evaluation, 5/1/2019Table of ContentsI. Doing Evaluation and Thinking Evaluatively 1. Speaking the Language 2. The Tale of the Researcher and Evaluator 3. Starting the Evaluative Journey 4. How We Know What We Know and Why We Think That 5. Data and Credibility: What Inquiring Evaluator Minds Need to Know 6. Linking Problem Statements, Interventions, and Results 7. All about Results 8. Talking Intervention Theory (and Logic) 9. Assessing and Evaluating Progress 10. Completing the Evaluation Journey: Pulling It All Together II. Working as an Evaluator and Exploring Evaluation 11. The Personal Choices of Being an Evaluator 12. Thinking about Values 13. Thinking about Power, Politics, Culture, Language, and Context 14. The Scholarly Side of Being an Evaluator 15. Navigating the Maze of Evaluation Choices 16. The World of Recommendations 17. The Dirty Laundry Chapter Epilogue

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Book SynopsisPsychological research can provide constructive explanations of key problems in the criminal justice system--and can help generate solutions. This state-of-the-art text dissects the psychological processes associated with fundamental legal questions: Is a suspect lying? Will an incarcerated individual be dangerous in the future? Is an eyewitness accurate? How can false memories be implanted? How do juries, experts, forensic examiners, and judges make decisions, and how can racial and other forms of bias be minimized? Chapters offer up-to-date reviews of relevant theory, experimental methods, and empirical findings. Specific recommendations are made for improving the quality of evidence and preserving the integrity of investigative and legal proceedings.Trade Review"We live at a time when psychological research in matters of social justice has never been so sorely needed. This text satisfies today's high demand for forensic psychology in the courts and in the college classroom. With up-to-date chapters written by active scholars, the book spans a range of sizzling topics--criminal profiling, lie detection, police interrogations and confessions, eyewitness memory, bias in the forensic sciences, judicial and jury decision making, plea bargaining, psychopathy, and what it means to be competent to stand trial."--Saul Kassin, PhD, Distinguished Professor of Psychology, John Jay College of Criminal Justice, City University of New York "If you have ever been curious about the deep connection between psychology and law, this is the book for you. Two eminent researchers have assembled a stellar group of scientists and scholars to fill readers in on the latest on eyewitness memory, judicial decision making, expert testimony, and a host of other topics. I felt immense pride when reading of the myriad ways psychology has contributed to solving some of the most vexing problems in our system of justice. You can see that for yourself, whether you’re learning about it for the first time or have been following the literature for years."--Elizabeth F. Loftus, PhD, Distinguished Professor of Social Ecology, and Professor of Law, and Cognitive Science, University of California, Irvine "Brewer and Douglass have really hit the mark with this excellent, up-to-date work. A wide array of topics are covered, from traditional social and cognitive research related to eyewitness memory to more clinically based areas such as forensic interviewing and the assessment of competence. The book tackles emerging areas of research and practice that are not included in other texts, such as issues related to plea bargaining, cognitive bias in forensic decision making, and the pseudoscience of criminal profiling. Highly readable, this is an outstanding text for upper-level courses in psychology and law; it will also be useful for professionals in the criminal justice system."--Mitchell Eisen, PhD, Professor and Director, Forensic Psychology Graduate Program, California State University, Los Angeles “Prominent scholars provide thorough summaries of the literature in each of the major domains of scholarship in psychology and law. Accessible, critical, and engaging, this text will be of great value to students, practitioners, and researchers--it fills a gap in the field."--Michael E. Lamb, PhD, Department of Psychology, University of Cambridge, United Kingdom; Editor, Psychology, Public Policy, and Law "This beautifully crafted text provides a comprehensive, up-to-date discussion of contemporary debates and issues at the interface of psychology and criminal law. Readers learn how social, cognitive, clinical and forensic psychology inform a broad range of processes within criminal justice systems. Each chapter is written by one or more experts at the cutting edge of their respective fields who understand the benefits and challenges of translating science into practice. This is a worthy successor to Brewer and Williams's 2005 Psychology and Law, which has informed my teaching and research for over a decade. It will doubtless be regarded as the authoritative work on psychological science and the law for students, researchers, practitioners, and policymakers."--Kimberley A. Wade, PhD, Department of Psychology, University of Warwick, United Kingdom -Table of ContentsIntroduction: Psychology and the Criminal Justice System, Amy Bradfield Douglass & Neil Brewer 1. Criminal Profiling, Laura Fallon & Brent Snook 2. Cognitive Bias in Legal Decision Making, Steve Charman, Amy Bradfield Douglass, & Alexis Mook 3. Interrogations and Confessions, Stephanie Madon, Curt More, & Ryan Ditchfield 4. Deception Detection, Christopher A. Gunderson & Leanne ten Brinke 5. Eyewitness Memory, Sean M. Lane & Kate A. Houston 6. Interviewing Witnesses and Victims, Lorraine Hope & Fiona Gabbert 7. Child Witnesses, Thomas D. Lyon, Kelly McWilliams, & Shanna Williams 8. False Memory, Maria S. Zaragoza, Ira Hyman, & Quin M. Chrobak 9. Eyewitness Identification, James D. Sauer, Matthew A. Palmer, & Neil Brewer 10. Identifying People from Images, David White & Richard Kemp 11. Plea Bargaining, Miko M. Wilford, Annabelle Shestak, & Gary L. Wells 12. Competence to Stand Trial and Criminal Responsibility, Lauren E. Kois, Preeti Chauhan, & Janet I. Warren 13. Expert Testimony, Stephanie Marion, Jeffrey Kaplan, & Brian Cutler 14. Jury Decision Making, Liana C. Peter-Hagene, Jessica M. Salerno, & Hannah Phalen 15. Aggression, Violence, and Psychopathy, Devon L. L. Polaschek 16. Judicial Decision Making, Gregory Mitchell 17. Translating Psychological Science into Policy and Practice, Nancy K. Steblay Index

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Book SynopsisSynthesizing an explosion of recent research, this book presents dramatic advances in understanding and treating autism spectrum disorder (ASD) in very young children. Leading authorities describe the innovative tools and methods that are enabling clinicians to more effectively identify 0- to 5-year-olds with the disorder and those at risk for related problems. Chapters discuss the early core symptoms and co-occurring characteristics of ASD, the best diagnostic instruments, and lessons learned from large-scale screening and surveillance, including sibling studies. The book reviews evidence-based interventions and explores practical issues in treatment of young children and their families.Trade Review"An impressive, comprehensive resource on autism during infancy and toddlerhood. The contributors provide an up-to-date overview of research on screening, symptoms, and treatment. This book will be valuable to both clinicians and researchers interested in the earliest manifestations of ASD and how to improve children’s outcomes."--Geraldine Dawson, PhD, William Cleland Distinguished Professor of Psychiatry and Behavioral Sciences; Director, Duke Institute for Brain Sciences; and Director, Duke Center for Autism and Brain Development, Duke University School of Medicine "Finally, everything you need in one place! This is a scientifically rigorous yet remarkably accessible analysis of what we have learned and what we still need to understand about autism screening, diagnosis, and treatment in infants and young children. Clinicians who are eager to translate research into high-quality care--and the children and families they serve--will benefit from this important work."--Alison Singer, President, Autism Science Foundation "This outstanding work has particularly strong chapters relating to screening and diagnosis. The book thoughtfully describes current practices, barriers, controversies, and guidelines for accurate and early identification of ASD. This is a great book for students who will be screening or diagnosing children with ASD and for professionals who wish to stay abreast of current issues in the field."--Lynn Kern Koegel, PhD, CCC-SLP, Clinical Professor, Stanford University School of Medicine; codeveloper, pivotal response treatment-This book is an easy read….It covers all aspects related to young children with autism including assessment, diagnosis, and treatments. It is useful for both clinicians and researchers in the field.--Doody's Review Service, 1/8/2021Table of ContentsIntroduction, Katarzyna Chawarska & Fred R. Volkmar 1. The Evolution of Autism as a Diagnostic Concept, Fred R. Volkmar & Roald A. Øien 2. Screening for Autism Spectrum Disorder and Developmental Delays in Infants and Toddlers, Emily Campi, Catherine Lord, & Rebecca Grzadzinski 3. Psychological Development of Toddlers with Autism Spectrum Disorder, Suzanne L. Macari, Kelly K. Powell, Megan Lyons, Celine A. Saulnier, Angelina Vernetti, & Katarzyna Chawarska 4. Early Interventions for Young Children with Autism Spectrum Disorder, Maria Pizzano & Connie Kasari 5. Development of Infant Siblings of Children with Autism Spectrum Disorder, Katarzyna Chawarska, Suzanne L. Macari, Angelina Vernetti, & LudivineBrunissen 6. Brain and Behavioral Development in High-Risk Infants: Considering the Role of Sensorimotor, Attentional, and Reward Networks, Robin Sifre, Joseph Piven, & Jed T. Elison 7. Long-Term Outcomes of Infants at Risk for Autism Spectrum Disorder, Meghan Miller & Sally Ozonoff 8. Intervention during the Prodromal Stages of Autism Spectrum Disorder, Jonathan Green 9. Providing Medical Care to Young Children with Autism Spectrum Disorder, Fred R. Volkmar, Roald A. Øien, & Lisa Wiesner 10. Advancing Technology to Meet the Needs of Infants and Toddlers at Risk for Autism Spectrum Disorder, Frederick Shic, Kelsey Jackson Dommer, Adham Atyabi, Marilena Mademtzi, Roald A. Øien, Julie A. Kientz, & Jessica Bradshaw 11. Potential Challenges of Importing Autism Spectrum Disorder Screening and Diagnostic Tools from High-Income Countries to Resource-Poor Settings, Amina Abubakar, Kavita Ruparelia, Joseph K. Gona, Kenneth Rimba, Rachel Mapenzi, Petrus J. de Vries, Fons J. R. van de Vijver, Andy Shih, & Charles R. Newton Index

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