Psychological methodology Books

Book SynopsisDr Andrew Mayers is Senior Lecturer in Psychology at Bournemouth UniversityTrade Review"This is a comprehensive resource of all the statistics you could ever want for degree level Psychology" - Neil Cruickshank, Budmouth College, Weymouth "Definitely my go-to statistics textbook, the perfect guide for all levels of undergraduate" - Psychology student, University of Glasgow "This book provides clear and comprehensive coverage of a wide range of statistical tests used in psychology. It will be of great value to novice and advanced researchers alike." - Dr Richard rowe, University of Sheffield "This engaging and student-centred book demystifies the challenges of statistics and SPSS for the numerically anxious student." - Dr Kate Bullen, Aberystwyth University Table of Contents1. Introduction 2. SPSS: The Basics 3. Normal Distribution 4. Significance, effect size, and power 5. Experimental methods - how to choose the correct statistical test 6. Correlation 7. Independent t-test 8. Related t-test 9. Independent one-way ANOVA 10. Repeated-measures one-way ANOVA 11. Independent multi-factorial ANOVA 12. Repeated-measures multi-factorial ANOVA 13. Mixed multi-factorial ANOVA 14. Multivariate analyses 15. Analyses of covariance 16. Linear and multiple linear regression 17. Logistic regression 18. Non-parametric tests 19. Tests for categorical variables 20. Factor analysis 21. Reliability analysis

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Book Synopsis Dominic Upton, University of Worcester Holly Andrews, University of Worcester Catherine Steele, University of Worcester Table of ContentsAcknowledgementsIntroductionGuided tourGuided tour of the companion website Chapter 1 An introduction to statistics for psychologyChapter 2 Basic conceptsChapter 3 Describing the data: distribution, averages and varianceChapter 4 Chi-square analysisChapter 5 Correlation analysisChapter 6 T-testsChapter 7 Comparing data: more than two groupsChapter 8 Multiple regression analysisChapter 9 Presenting the data: tables, figures and graphsChapter 10 Interpreting data: drawing conclusions And finally, before the exam . . . Glossary of termsReferencesIndex

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Book SynopsisDr Darren Langdridge is Head of Department of Psychology at The Open University.   Dr Gareth Hagger-Johnson is a psychologist and Senior Research Associate at University College London.Table of ContentsSection 1 – Introducing research methods 1. Starting out in research 2. Variables: definition and measurement3. Reliability, validity, sampling and groups 4. Interviews and observation 5. Questionnaires and psychometric tests6. Experimental and quasi-experimental designs 7. E-research Section 2 – Analysing quantitative data 8. Fundamentals of statistics 9. Entering and manipulating data10. Graphical representation and descriptive statistics11. Bivariate analysis 1: exploring differences between variables12. Bivariate analysis 2: exploring relationships between variables13. ANOVA14. MANOVA 15. Regression 16. Introducing R Section 3 – Analysing qualitative data 17. Fundamentals of qualitative research18. Transcribing, coding and organising textual data19. Phenomenological research methods20. Grounded theory21. Discourse analysis22. Life story and narrative research23. The use of computers in qualitative analysis 24. Mixed methods Section 4 – Reporting findings 25. Ethics and politics 26. Reporting and presenting findingsReferences

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Book SynopsisThe discovery of magnetic sleep in 1784 marked the beginning of modern psychological healing. It revealed mental activity that was not available to the conscious mind but could affect concious thought and action. This book tells the story of its discovery and its relationship to psychotherapy.

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Book Synopsis*What do advanced statistical techniques do?*When is it appropriate to use them?*How are they carried out and reported?There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:- concise and accessible introduction to calculating and interpreting advanced statistical techniques- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique- succinct illustration of wrTable of ContentsSeries editor’s foreword Preface 1 IntroductionPART 1Grouping quantitative variables together2 Exploratory factor analysis3 Confirmatory factor analysis4 Cluster analysisPART 2Explaining the variance of a quantitative variable5 Stepwise multiple regression6 Hierarchical multiple regressionPART 3Sequencing the relationships between three or more quantitativevariables7 Path analysis assuming no measurement error8 Path analysis accounting for measurement error PART 4Explaining the probability of a dichotomous variable 9 Binary logistic regression PART 5Testing differences between group means 10 An introduction to analysis of variance and covariance 11 Unrelated one-way analysis of covariance 12 Unrelated two-way analysis of variance PART 6Discriminating between groups 13 Discriminant analysisPART 7Analysing frequency tables with three or more qualitative variables 14 Log-linear analysis Glossary References Index

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Book Synopsis"Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the fieldâ[the]âreader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences" - David Morgan, Emeritus Professor of Sociology, Manchester University (former President, British Sociological Association), Auto/Biography, a BSA Study Group journal, 2002."Brian Robertsâ book is a highly accessible introduction to biographical methodâThe author deftly and confidently addresses the available work in a variety of disciplines ranging from education through oral history, feminism to memoryâ I warmly recommend this book to any historian interested in biography and what its study can tell them about what they doâ. - Alun Munslow, Professor of History, Staffordshire UnTrade Review'Anyone who set out to encompass the whole of biographical research in around 200 pages faces a formidable task...Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the field...[the]...reader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences'. - David Morgan 20020101Table of ContentsSeries editor's forewordIntroductionbiographical researchUses of biographical researchThe life historyAutobiography and biographyAuto/biography and sociologyOral historyThe narrative analysis of livesMemory and autobiographyEthnography and biographical researchConclusionReferencesIndex.

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Book SynopsisToxic Interactionsis a review of quantitative research revealing how urban living, trauma, ethnicity, stress and familial influence the risk of troubling psychotic experiences.Each of these is reviewed in search of their social implications, and a constructivist approach identifies their common threads. The contributions of newer psychotherapeutic approaches such as Open Dialogue and Recovery programmes are considered, and a consistent interpretation emerges; that is not the observable features of disturbed mental state that deserve key attention, but how these are generally understood by others, and in particular the ''client''s'' close associates.Toxic Interactions and the Social Geography of Psychosiswill be welcomed by all who find conventional approaches to mental health difficulties unsatisfactory, whether that is as a practitioner frustrated by the counter-productive expectations of their institutional setting, an academic exploring different perspTrade Review"Dr Middleton's 'Toxic Interactions: The Social Geography of Psychosis' is an inspiring addition to the wonderful ISPS book series. By focusing on adverse childhood experiences, ethnicity, migration, urban life and other social issues it becomes clear how 'toxic interpretations of disturbing mental states' are at least as problematic as those states themselves. This perspective and the focus on recovery and therapeutic relationships is a refreshing antidote to the unsubstantiated, pessimistic and stigmatising 'medical model' of human distress that until recently has been so dominant" Professor John Read, author of 'Models of Madness' and 'A Straight Talking Introduction to the Causes of Mental Health Problems'"Toxic Interactions is a clearly written, evidence-based account of the contemporary state of knowledge about the most difficult kind of mental ill-health we have, psychosis. This is an even-handed review of both neurobiological and sociological evidence in relation to the causes and distribution of this disorder, including a detailed discussion of its social distribution amongst urban, ethnic, early life, family experiences, and so forth. This 'social geography' has for too long been a peripheral focus for research, but with books like this, and efforts such as our own newly funded ESRC research on 'society and mental health', there is hope that there can be a much more balanced and productive basis for both interventions, covered here more briefly, and the humane social inclusion of those suffering from psychosis" Nick Manning, Professor of Sociology, ESRC Centre for Society and Mental Health, King's College, London."This book deserves to be widely read. The focus on the relational environment addresses important and very under-considered influences on mental health and wellbeing. The author grapples with the uncomfortable and, for psychiatry, inconvenient truth that experience of psychosis for many people is best understood not primarily as a biochemical disturbance but as arising from childhood adversity, family and life experiences, or ethnic and cultural minoritisation. His scholarly overview of the empirical evidence demonstrates the central importance of relationships, and their role in the vital recovery process of meaning-making. This book makes an original contribution of high relevance to clinical practice, and should be read by anyone wanting to understand how relationships and society, including the mental health system, can help or hinder mental health recovery" Mike Slade, Professor of Mental Health Recovery and Social Inclusion, University of Nottingham."There is growing authoritative disquiet that contemporary approaches that prioritise mental health difficulties as primarily stemming from biomedical irregularities do not stand up to closer examination. Hugh Middleton is an experienced psychiatrist and his erudite, balanced and composed writing is a most important addition to the growing literature on this most serious of contemporary matters for western society. Importantly, it points, with evidence, to a range of linked alternative understandings based on the nature of relationships at the crucial times in one's life in determining more severe mental distress. Each chapter takes a different relationship / social focus, such as adverse and favourable relations in formative years, in family life, in ethnic groups and in urban life. The most important chapter is the one on relationships between patients and their close associates with mental health service professionals and he provides convincing evidence as to the qualities of these relationships being central to outcomes. Therefore, this book highlights how a considerable shift of focus in society and in mental health services would lead to better mitigation of mental distress / disturbance. By clear implication Middleton is calling for a shift from a too exclusive medical science focus to a more inclusive social relationship science focus. This book merits very serious attention from policy makers and providers of mental health services and all others who sense that we had been barking up the wrong tree in much of our contemporary thinking about mental distress and how best to attend to it" Brain Martindale, Past President of ISPS and Honorary Member of the World Psychiatric Association. Table of ContentsIntroduction 1. Spoiled Identity 2. What are we dealing with, here? 3. Childhood adversity and troubling psychotic experiences 4. Family life 5. Ethnicity, migration, and troubling psychotic experiences 6. Living in the city 7. Life's ups and downs 8. Joining the dots... 9. What can be learned from 'What Helps'? Index

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Book SynopsisMultilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. New to this edition: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; <Trade Review"Developing a basic modeling strategy that researchers can follow to investigate multilevel data structures can be challenging. Heck and Thomas have once again presented a must-have reference book to get the job done. This edition’s use of four different software packages and additional easy-to-follow illustrative examples enhance what was already a superb resource for both students and researchers." – George A. Marcoulides, University of California, Santa Barbara, USA Table of ContentsPreface 1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Methods for Examining Individual and Organizational Change 6. Multilevel Models with Categorical Variables 7. Multilevel Structural Equation Variables 8. Multilevel Latent Growth and Mixture Models 9. Data Consideration in Examining Multilevel Models

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Book SynopsisFocusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts. The book continues to highlight the main themes that run through just about every quantitative method, describing the statistical features in clear language. Analyzed examples are presented in 12 of the 15 chapters, showing when and how to use relevant multivariate methods, and how to interpret the findings both from an overarching macro- and more specific micro-level approach that includes focus on statistical tests, effect sizes and confidence intervals. This revised 3rd edition offers thoroughly revised and updated chapters to bring them in line with current information in the field, the addition of R code for all examples, continued SAS and SPSS code for seven chapters, two new chapteTrade Review"Harlow breaks down concepts in simple terms and draws insightful comparisons across different statistical techniques. The text is an excellent resource for all who conduct statistical analyses, from undergraduates to professionals, and everywhere in between."A. Nayena Blankson, Full Professor of Psychology, Spelman College, USA"Once again, Harlow writes with authority and great clarity. There’s discussion of estimation, replication, and reproducibility, and all through there’s R code and guidance. This shrewdly revised new edition is a wonderfully future-oriented guide to the multivariate world."Geoff Cumming, Professor Emeritus, La Trobe University, Melbourne, Australia "The Essence of Multivariate Thinking provides a gentle introduction to an expansive toolkit of methods with a through line focused on aptly applying them to research questions. Dr. Harlow seamlessly ties together several modeling frameworks (e.g., multiple regression, MANOVA, discriminant function analysis, logistic regression, SEM, and latent growth modeling) by emphasizing commonalities in their underlying assumptions, statistical tests, and effect size interpretations. All this was done with a clear and accessible writing style accompanied by a unifying data example using R, SAS, and SPSS."Jolynn Pek, Associate Professor of Quantitative Psychology, Ohio State University, USA "In this third edition of her landmark text on multivariate methods, readers are furnished with ways to think about a variety of multivariate techniques from start to finish: preliminary considerations, testing assumptions, conducting analyses, and writing up and interpreting the results. They will learn how the various multivariate methods are related, and when each should be used. Readers can pattern their own analyses after those used as examples in the book. Her example analyses are easy to follow and emulate.Every chapter ends by summarizing a topic around a set of core themes to help researchers understand and select appropriate multivariate methods. Professor Harlow is known for her didactic style and ability to communicate complex topics in clear, approachable language. In this third edition she adds new material on multi-sample SEM and latent growth curve models. The provision of R code for all analyses is a welcome addition. Readers will emerge knowing about a variety of multivariate methods—how they are related and distinct, when to use them, how to conduct them, and how to communicate the results to readers. Harlow has a knack for explaining complicated methods in clear, approachable language. In this revised third edition of her landmark text, she provides readers with all the tools they need to become expert users and consumers of multivariate techniques."Kristopher J. Preacher, Lois Autrey Betts Chair in Education & Human Development, Vanderbilt University, USA "Lisa Harlow's third edition of The Essence of Multivariate Thinking is the perfect textbook for introductory graduate statistics or a multivariate statistics course. Each chapter provides readers with the foundational knowledge and relevant software code to start implementing the analyses in their own work right away. Harlow's accessible chapters strike the right balance of unique information and related themes." Alyssa Counsell, Assistant Professor in Quantitative Psychology, Toronto Metropolitan University, Ontario, CanadaTable of ContentsI. OVERVIEWChapter 1: Introduction and Multivariate ThemesChapter 2: Background ThemesII. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOMEChapter 3: Multiple RegressionChapter 4: Analysis of CovarianceIII. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S)Chapter 5. Multivariate Analysis of VarianceChapter 6: Discriminant Function AnalysisChapter 7: Logistic RegressionIV. MULTIVARIATE DIMENSIONAL METHODS WITH CONTINUOUS VARIABLESChapter 8: Principal Components and Factor AnalysisV: STRUCTURAL EQUATION MODELINGChapter 9: Structural Equation ModelingChapter 10: Path AnalysisChapter 11: Confirmatory Factor AnalysisChapter 12: Latent Variable ModelingChapter 13: Multiple Sample AnalysisChapter 14: Latent Growth ModelingVI: SUMMARYChapter 15: Integration of Multivariate Methods

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Book SynopsisSurvey Development: A Theory-Driven Mixed-Method Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development that advocates establishing and testing of hypotheses pertaining to presumptions and score-interpretation and use inferences and mixing quantitative and qualitative methods.The book has 14 chapters which are divided into four parts. Part A includes six chapters that deal with theory and methodology. Part B has five chapters and it gets into the process of constructing the survey using both quantitative and qualitative methods. Part C comprises two chapters devoted to assessing the quality or psychometric properties (reliability and validity) of survey responses. Finally, the one chapter in Part D is an attempt to present a synopsis of what was covered in the previous chapters in regard to developing a survey with the TDMM framework for developing survey and conducting survTrade Review"This book is carefully written to ensure precise meaning and that it is understandable to a broad audience. In my more than three decades following survey research, no other text has addressed the topic as intimately. Although there are many books on survey research, they lack the organizing schema of being theory based. While it is easy to tell what things are or how to do them, without the basis in theory (and empirical evidence) the reader is left without the framework to understand why they are that way. Developing this understanding is what equips your audience to move beyond the specifics that are presented to address new and different challenges as they go about designing and conducting survey research and making sense of their results. This moves this book to the forefront of the many texts available." -- Steve Siera, Ph.D., former Chair, AERA SIG on Survey Research in Education, former Interim Dean and Associate Dean College of Education and Counseling Psychology, St. Martin’s University, Lacey, Washington, USA"Required reading in multi-disciplinary seminars in survey methodology and research design, the proposed Theory-Driven Mixed Method (TDMM) approach is a pragmatic, timely, and useful contribution in a fast-transforming field. Through compelling content, eclectic examples, brilliantly designed illustrations, and pithy tables, the authors draw upon their extensive experiences and passion for the subject matter. This must-have tool in researchers’ armory is a critical reminder for the need to balance survey design features and survey quality." -- Kranti (Kran) Dugar, Ph.D., Assistant Professor of Marketing, College of Business, University of Wisconsin-Eau Claire, USATable of ContentsPart A: Theory and Methodology 1. Survey Research 2. Theory and Validity 3. Mixed Methods 4. Measurement Theory 5. Theories of Response and Error 6. Participant Sampling; Part B: Survey Construction 7. Survey Development Framework 8. Writing Items 9. Constructing Response Scales 10. Qualitative Survey Item Review 11. Quantitative Survey Item Review; Part C: Assessing Psychometric Properties 12. Assessing Reliability 13. Assessing Validity; Part D: Recommendations for Theory-Driven Mixed-Methods Survey Development and Validation 14. Synopsis

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Book SynopsisDesigning a research project is possibly the most difficult task a dissertation writer faces. It is fraught with uncertainty: what is the best subject? What is the best method? For every answer found, there are often multiple subsequent questions, so it's easy to get lost in theoretical debates and buried under a mountain of literature. This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literatureskills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly communities that will help graduate researchers refine, define, and express their own scholarly vision and voice. This orientation on research as an exploratory practice, rather than merely a series of predetermined steps in a systematic method, allows the researcher to deal with the uncertainties andTrade ReviewUnlike other books on research, this book does not prescribe methods or recipes. Rather, it feels like one is sitting with an experienced dissertation coach, having a series of short conversations about the tacit knowledge that underlies the various aspects of research practice. After reading this book, novice researchers will have a better understanding of how the literature supports and brings out a researcher’s own voiceArnold Wentzel, author of Creative Research in Economics (Routledge, 2016) and A Guide to Argumentative Research Writing and Thinking (Routledge, 2017)Table of ContentsIntroductionAcknowledgementsPart One: On ResearchChapter 1. Research PhilosophyChapter 2. Research PracticePart Two: Reading LiteratureChapter 3. AttitudeChapter 4. Managing the LiteratureChapter 5. Deep ReadingPart Three: Writing About LiteratureChapter 6. Writing with LiteratureChapter 7. Writing a Literature ReviewConclusionSelect References, Annotated

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Book SynopsisSmall Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations.FeaturesCovers both theoretical and applied aspects for real-world comparative research and regional statistics productionThoroughly explains how microsimulation modeling tTrade Review"The book aims at introducing modern statistical small area estimation methodologies into the framework of spatial microsimulation modelling for a comprehensive presentation, providing a novel approach with much potential in comparative social research and regional statistics production. In my opinion, the strongest methodological developments are in the techniques of generating synthetic spatial microdata at small area levels. This book will be attractive for students, in economics, social sciences and statistics in particular. The increasing use of both SAE and microsimulation methods in different areas of society, such as social planning by government institutions and official or public statistics production by national and international statistical agencies. Finally, I want to congratulate the authors for writing a nice and well readable book on a quite complicated topic." —Prof. Risto Lehtonen, University of Helsinki ". . .an interesting read for both beginning and more experienced microsimulation modellers. The two authors are well known within the microsimulation community. In this book, they share their experiences and insights into both the more theoretical and empirical aspects of microsimulation modelling. Across disciplines, there are several approaches towards the simulation or projection of small area statistics. However, since these different disciplines make use of different terminologies, there is less cross-pollination than expected (or hoped for). The aim of this book is to show and explain different approaches of small area estimation that are used in different research fields. The book gives an extensive theoretical and empirical overview of different microsimulation techniques and can be of relevance to researchers who want to expand their knowledges on ways to estimate small area characteristics."~International Journal of Microsimulation "The authors begin with a detailed classification tree of small area estimation techniques. The text then proceeds to review and describe these techniques. A familiarity with regression techniques and survey methods is assumed throughout. The text then proceeds to present some new small area estimation techniques, validation methods, and a detailed worked example. The appendices provide further details of the worked example and SAS code for the generalized regression weighting tool (GREGWT) method."~Douglas Dover, International Society for Clinical Biostatistics "I enjoyed reading this comprehensively written book. I recommend this book to sociologists, economists, geographers, statistics and computing professionals."-Ramalingam Shanmugam, in Journal of Statistical Computation and Simulation, June 2019 "The book aims at introducing modern statistical small area estimation methodologies into the framework of spatial microsimulation modelling for a comprehensive presentation, providing a novel approach with much potential in comparative social research and regional statistics production. In my opinion, the strongest methodological developments are in the techniques of generating synthetic spatial microdata at small area levels. This book will be attractive for students, in economics, social sciences and statistics in particular. The increasing use of both SAE and microsimulation methods in different areas of society, such as social planning by government institutions and official or public statistics production by national and international statistical agencies. Finally, I want to congratulate the authors for writing a nice and well readable book on a quite complicated topic." ~Prof. Risto Lehtonen, University of Helsinki ". . .an interesting read for both beginning and more experienced microsimulation modellers. The two authors are well known within the microsimulation community. In this book, they share their experiences and insights into both the more theoretical and empirical aspects of microsimulation modelling. Across disciplines, there are several approaches towards the simulation or projection of small area statistics. However, since these different disciplines make use of different terminologies, there is less cross-pollination than expected (or hoped for). The aim of this book is to show and explain different approaches of small area estimation that are used in different research fields. The book gives an extensive theoretical and empirical overview of different microsimulation techniques and can be of relevance to researchers who want to expand their knowledges on ways to estimate small area characteristics."~International Journal of Microsimulation "The authors begin with a detailed classification tree of small area estimation techniques. The text then proceeds to review and describe these techniques. A familiarity with regression techniques and survey methods is assumed throughout. The text then proceeds to present some new small area estimation techniques, validation methods, and a detailed worked example. The appendices provide further details of the worked example and SAS code for the generalized regression weighting tool (GREGWT) method."~Douglas Dover, International Society for Clinical Biostatistics "I enjoyed reading this comprehensively written book. I recommend this book to sociologists, economists, geographers, statistics and computing professionals."-Ramalingam Shanmugam, in Journal of Statistical Computation and Simulation, June 2019 Table of ContentsTable of Contents Preface Introduction Introduction Main Aims of the Book Guide for the Reader Concluding Remarks Small Area Estimation Introduction Small area estimation Advantages of small area estimation Why small area estimation techniques? Applications of small area estimation Approaches to small area estimation Direct estimation Horvitz-Thomposn (H-T) estimator Generalized regression (GREG) estimator Modified direct estimator Design-based model-assited estimators A comparison of direct estimators Concluding remarks Indirect Estimation: Statistical Approaches Introduction Implicit models approach Synthetic estimaton Composite estimation Demographic estimation Comparison of various implicit models based indirect estimation Explicit models approach Basic area level model Basic unit leve model General linear mixed model Comparison of various explicit models based indirect estimation Methods for estimating explicit models E-BLUP approach EB approach HB approach A comparison of three methods Concluding remarks Indirect Estimation: Geographic Approaches Introduction Microsimulation modeling Process of microsimulation Types of microsimulation models Advantages of microsimulation modeling Methodologies in microsimulation modeling technology Techniques for creating spatial microdata Statistical data matching or fusion Iterative proportional fitting Repeated weighting method Reweighting Combinatorial optimisation reweighing approach The simulated annealing method in CO An illustration of CO process for hypothetical data Reweighting: The GREGWT approach Theoretical setting How does GREGWT generate new weights? Explicit numerical solution for a hypothetical data A comparison between GREGWT and CO Concluding remarks Bayesian Prediction-Based Microdata Simulation Introduction The basic steps The Bayesian prediction theory The multivariate model The prior and posterior distributions The linkage model Prediction for moedling unobserved population units Concluding remarks Microsimulation Modelling Technology for Small Area Estimation Introduction Data sources and issues The Census Data Survey Datasets Survey Datasets MMT based Model Specification Model inputs Generating small area synthetic weights Model inputs Generating small area synthetic weights Model inputs Gnerating small area synthetic weights Model outputs Housing stress Definition Measures of housing stress A comparison of various measures Small area estimation of housing stress Inputs at the second stae model Final model outputs Concluding remarks Applications of the Methodologies Introduction Results of the model: A general view Model accuracy report Scenarios of housing stress under various measures Distribution of housing stress estimation Lorenz curve for housing stress estimates Proportional cumulative frequency graph and index of dissimilarity Scenarios of households and housing stress by tenures Estimation of households in housing stress by spatial scales Results for different states Results for various statistical divisions Results for various statistical subdivisions Small area estimates: Number of households in housing stress Estimated numbers of overall households in housing stress Estimated numbers of buyerhouseholds in housing stress Estimated numbers of public renter households in housing stress Estimated numbers of private renter households in housing stress Estimated numbers of total renter households in housing stress Small area estimates: Percentage of households in housing stress Percentage estimates of housing stress for overall households Percentage estimates of housing stress for buyer households Percentage estimates of housing stress for public renter households Percentage estimates of housing stress for private renter households Percentage estimates of housing stress for total renter households Concluding remarks Analysis of Small Area Estimates in Capital Cities Introduction Scenarios of the results for major capital cities Trends in housing stress for some major cities Mapping the estimates at SLA levels within major cities Sydney Housing stress estimates for overall households Small area estimation by household's tenure types Melbourne Housing stress estimates for overall households Small area estimation by household's tenure types Brisbane Housing stress estimates for overall households Small area estimation by household's tenure types Adelaide Housing stress estimates for overall households Small area estimation by household's tenure types Canberra Housing stress estimates for overall households Small area estimation by household's tenure types Hobart Housing stress estimates for overall households Small area estimation by household's tenure types Darwin Housing stress estimates for overall households Small area estimation by household's tenure types Concluding remarks Validation and Measure of Statistical Reliability Introduction Some validation methods in the literature New approaches to validating housing stress estimation Statistical significance test of the MMT estimates Results of the statistical significance test Absolute standardised residual estimate (ASRE) analysis Results from the ASRE analysis Measure of statistical reliability of the MMT estimates Confidence interval estimation Results from the estimates of confidence intervals Concluding remarks Conclusions and Computing Codes Introduction Summary of major findings Limitations Areas of further studies Computing codes and programming The general model file codes SAS programming for reweithing algorithms The second stage program file codes Concluding remarks Appendices.

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Book SynopsisThis comprehensive guide offers a rich introduction to research methods, experimental design and data analysis techniques in developmental science, emphasizing the importance of an understanding of this area of psychology for any student or researcher interested in examining development across the lifespan. The expert contributors enhance the reader's knowledge base, understanding of methods, and critical thinking skills in their area of study. They cover development from the prenatal period to adolescence and old age, and explore key topics including the history of developmental research, ethics, animal models, physiological measures, eye-tracking, and computational and robotics models. They accessibly explore research measures and design in topics including gender identity development, the influence of neighborhoods, mother-infant attachment relationships, peer relationships in childhood, prosocial and moral development patterns, developmental psychopathology and socTable of ContentsPrefaceList of Contributors1. A Century of Research in Child Development: The Emergence of a New Science John W. Hagen, Carly A. Lasagna, and Sherri E. Packett2. Overimitation across Development: The Influence of Individual and Contextual FactorsBruce Rawlings, Natália Dutra, Cameron Turner, and Emma Flynn3. Ethics in Developmental ResearchDiana J. Meter and Marion K. Underwood4. Prenatal Animal Models of Behavioral Development Gale A. Kleven and Seanceray A. Bellinger5. Physiological and Behavioral Research Methods across Prenatal and Infant Periods Nancy Aaron Jones and Krystal D. Mize6. Studying Perceptual Development in InfancyFabrice Damon, Nicholas J. Minar, And Anne Hillairet De Boisferon7. Studying Children’s Verb Learning across DevelopmentJane B. Childers, Sneh Lalani, Blaire Porter, Sophia Arriazola, Priscilla Tovar-Perez, and Bibiana Cutilletta8. Developmental Robotics for Language Learning Angelo Cangelosi and Matthew Schlesinger9. Attachment Theory and Research in a Developmental FrameworkPatricia Crittenden and Susan Spieker10. Social Ecological Influences: The Role of Residential Neighborhoods in the Development of Children and YouthMargaret O’brien Caughy*11. Measuring Peer Relationships During Childhood: Exploring the Benefits of Using Peer NominationsChristopher D. Aults12. Gender Identity DevelopmentMadhavi Menon and Sara M. Gorman13. Methodological Issues in Cross-Cultural Research on Prosocial and Moral DevelopmentGustavo Carlo and Sahitya Maiya14. Translational Science: Developmental Psychopathology and Social PolicyRoss A. Thompson15. Methodological Considerations in Collaborative Memory and Aging Research Michelle L. Meade, Summer R. Whillock, and Katherine M. HartIndex*Dr. Tammy Leonard contributed the activities/supplemental materials that are a part of this chapter and included on the Taylor and Francis website.

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Book SynopsisLife Events and Emotional Disorder Revisited explores the variety of events that can occur, their inherent characteristics and how they affect our lives and emotions, and in turn their impact on our mental health and wellbeing.The book focuses on current social problems nationally and internationally, showing the reach of life events research including those linked to Covid-19. It also discusses trauma experiences and how they fit in the life events scheme. To underpin the various life event dimensions identified (such as loss, danger and humiliation), the authors have developed an underlying model of human needs, jeopardised by the most damaging life events. This includes attachment, security, identity and achievement. The book brings together classic research findings with new advances in the field of life events research, culminating in a new theoretical framework of life events, including new discussions on trauma, on positive events and an online methodology forTrade ReviewGiven the great progress in genetic research it is important to consider advances in the methodologies relating to the "environment". This book describes the gold standard approach to the study of life events as precipitating factors for episodes of ill health. The Bedford Square team (of whom Antonia Bifulco, one of the authors of this book was a member) applied meticulous attention to detail and an empathetic interviewing style to obtain deep psychological understanding. The resultant model fostered the development of new approaches to treatment such as befriending, peer and "grandmother" support to provide the protective power of a confidante. CLEAR (Computerised Life Events Assessment Record) is a digital update of life events methodology. The acceptability reliability and utility of this new tool which should transform both research and treatment are described in this book. Professor Janet Treasure, OBE, Professor of Psychiatry, Institute of Psychiatry, Kings College London.Beginning with a review of the LEDS, a labor-intensive interview with a unique focus on daily events and their relationship to mental disorder, Bifulco and colleague’s book updates the measure and describes a computerized version that avoids many of the pitfalls of checklists designed to replace it. A huge body of research relevant to the LEDS and related measures is reviewed, clearly written with helpful tables and diagrams. The emphasis on positive events and robustness contributing greatly to the field. While clearly useful to researchers, inclusion of cases, discussion of various therapeutic approaches and clinical implications makes the book a valuable resource for clinicians. Dr Helen Stein, Psychologist and Psychoanalyst. Retired member of the Menninger Foundation research team, Kansas, USALife Events and Emotional Disorder Revisited – revives life events research and makes it current. The book takes us on a historical journey in each section. First, back to the epidemiological roots of life events research and the well-established life events work of George Brown and Tirril Harris. It then travels on a whistle stop tour through the recent research on life adversity and role of positive life events including current reflections on the impact of the Covid-19 pandemic. The book offers a new theoretical framework for understanding the impact of life adversity and a contemporary online measure of life stress (the CLEAR) that has widespread implications for research in this area. This book provides a sophisticated account of life events research over time and a great resource for academics and students alike. Dr Gemma Traviss-Turner – Lecturer in primary Care, University of LeedsTable of Contents1: Introduction; SECTION 1 – LIFE EVENTS AND DEPRESSION; 2: Life events are multi-dimensional; 3: Trauma – extreme life events; 4: Life events and vulnerability; SECTION 2 – LIFE EVENT MEASUREMENT; 5: Contending with atheoretical measurement; 6: Technology and measuring events; SECTION 3- POSITIVE LIFE EVENTS, RECOVERY AND WELLBEING; 7: Positive events and recovery; 8: Positive events and wellbeing; 9: Conclusion; References; Appendix 1; Index

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Book SynopsisMultilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS dTable of Contents1. Introduction to Multilevel Modeling with IBM SPSS 2. Preparing and Examining the Data for Multilevel Analyses 3. Defining a Basic Two-Level Multilevel Regression Model 4. Extending the Two-Level Univariate Model 5. Examining Individual Change with Repeated Measures Data 6. Applications of Mixed Models for Longitudinal Data 7. Multivariate Multilevel Models 8. Cross-Classified Multilevel Models 9. Further Considerations in Modeling Hierarchical Data

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Book SynopsisIntroduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers wiTable of Contents1. Introduction. 2. Foundations. 3. Data Management. 4. Visualizing Your Data. 5. Essential Programming. 6. Exploratory Data Analysis. 7. Essential Statistical Modeling. 8. Parting Thoughts.

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Book SynopsisThe Aesthetics of Self-Harm presents a new approach to understanding parasuicidal behaviour, based upon an examination of online communities that promote performances of self-harm in the pursuit of an idealised beauty. The book considers how online communities provide a significant level of support for self-harmers and focuses on relevant case studies to establish a new model for the comprehension of the online supportive community. To do so, Alderton explores discussions of self-harm and disordered eating on social networks. She examines aesthetic trends that contextualise harmful behavior and help people to perform feelings of sadness and vulnerability online. Alderton argues that the traditional understanding of self-violence through medical discourse is important, but that it misses vital elements of human group activity and the motivating forces of visual imagery. Covering psychiatry and psychology, rhetoric and sociology, this book provides essential reaTable of ContentsPreface 1. Self-Harm on Social Networks: Understanding Online Eating Disorder and Self-Harm Communities 2. The Aesthetics of Self-Harm: Visual Rhetoric as a Key to Understanding Online Activities 3. Sad Girls: The Internet and the Performance of Mood 4. Suggestions for Clinical Practitioners: New Tools for Managing Visually Oriented Self-Harmers 5. Healing Through Aesthetics: How Images Can Guide Behaviour and Health

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Book SynopsisThe Theoretical Framework in Phenomenological Research: Development and Application is an introduction to phenomenology in which the authors overview its origin, main ideas and core concepts. They show the application and relevancy of phenomenological tenets in practical qualitative research, as well as demonstrate how aligning theory and method enhances research credibility.In this detailed but digestible explanation of phenomenological theories, the authors explore the ideas of the main founders pertaining to the meaning of perceived reality and the meaning of being, and how these founders articulated their methodologies. In doing so, The Theoretical Framework in Phenomenological Research fills the well-documented gap between theory and practice within phenomenology by providing a much-needed bridge between the foundational literature and applied research on the subject, focusing equally on theory and practice. The book includes practical demTable of Contents1. Pragmatic Perspectives on Phenomenology in Social Research Methods 2. Understanding the Phenomenological Theory of Experience (Consciousness, Intentionality and Essence) 3. Understanding Epoché and Bracketing 4. Navigating Through the Tenets of Phenomenology 5. Understanding the Rationale and Role of Developing Theoretical/Conceptual Framework 6. Developing Theoretical/Conceptual Framework 7. Applying Theoretical/Conceptual Framework (At the Data Analysis Phase) 8. A Guide for Designing Phenomenological Research

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Book SynopsisLongitudinal Studies of Second Language Learning: Quantitative Methods and Outcomes provides a how-to guide to choosing, using, and understanding quantitative longitudinal research and sampling methods in second and foreign language learning.This volume will provide readers with exemplary longitudinal studies of language learning outcomes, as well as an overview of widely used methods of data analysis. Readers will understand how long-term data collection processes are organized and archived, and how the data are managed over time prior to analysis.  Each of the chapters provide applied researchers with examples of how language learning outcomes gathered over time can be organized into data sets useful for insightful descriptive and inferential analyses of learning outcomes. As the only edited volume that focuses on longitudinal data analysis specifically for a second language acquisition (SLA)/applied linguistics readership, this will be an Table of ContentsList of ContributorsIntroductionSteven J. Ross, Megan C. MastersChapter 1: Introduction: Longitudinal Research DesignsSteven J. Ross, Megan C. MastersChapter 2: Approaches to Longitudinal Data AnalysesSteven J. Ross, Megan C. MastersChapter 3: Using extant data to assess the impact of in-service foreign language proficiency sustainment programs at three US government organizationsAmber N. Bloomfield, Martyn K. ClarkChapter 4: Investigating Language Aptitude and AttritionBeth MackeyChapter 5: Pathways to ProficiencyMegan C. MastersChapter 6: Modeling Longitudinal Coherence in a Foreign Language ProgramLeslie N. Ono, Steven J. RossChapter 7: Factors Affecting Proficiency Outcomes in a Foreign Language Program over 20 yearsLeslie N, OnoChapter 8: Curricular Innovation Impact Analysis: Parallel Process Growth Curve ModelsAtsuko NishitaniChapter 9: Validating Task-Centered Self-Assessment on Second Language Proficiency Growth: A Cross-lagged Panel AnalysisQi ZhengChapter 10: Student Proficiency Development in University Foreign Language ProgramsDaniel R. Isbell, Xiaowan ZhangIndex

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Book SynopsisInterpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics Up-to-date journal excerpts reflecting contemporary styles in statistical reporting Strong emphasis on data visualization Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questioTrade ReviewThe 9th edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USAThe ninth edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USATable of Contents1. Basic Descriptions of the Data: Measurement and Frequency 2. Describing the Data 3. Displaying Data: Visualizing What is There 4. Finding Relationships: Association and Prediction 5. Group Differences with Normal Distributions 6. Nonparametric Tests for Group Differences 7. Test Construction

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Book SynopsisInterpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics Up-to-date journal excerpts reflecting contemporary styles in statistical reporting Strong emphasis on data visualization Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questioTrade ReviewThe 9th edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USAThe ninth edition of this workbook is an engaging and invaluable tool for teaching students how to interpret statistics as they encounter them in articles written within the psychological, social, and health sciences. By choosing article excerpts that are sure to interest undergraduate readers, the authors may entice those many students who say they fear numbers into taking their first halting steps toward understanding. By providing clear and concise descriptions of key concepts and posing astute questions, the workbook demystifies the scientific enterprise and explains its importance for comprehending the social world. And by starting with the simplest ideas and gradually, step by step, moving toward a more complex understanding, the authors gently lead students on a learning journey that is sure to be deeply informative – and maybe even fun! -- Dan P. McAdams, the Henry Wade Rogers Professor of Psychology, Northwestern University, USA"This introduction to reading and understanding statistics is very basic and easy to understand, but at the same time it is scientifically oriented, contemporary in outlook and forward looking in methodology. It points students in exactly the right direction, emphasizing meaningful interpretation of scientific results over recitation of cookbook formulas. Students will come away with the tools they need for comprehending graphical analysis, effect size, and statistical power." -- Eric Turkheimer, PhD, Hugh Scott Hamilton Professor, Department of Psychology, University of Virginia, USATable of Contents1. Basic Descriptions of the Data: Measurement and Frequency 2. Describing the Data 3. Displaying Data: Visualizing What is There 4. Finding Relationships: Association and Prediction 5. Group Differences with Normal Distributions 6. Nonparametric Tests for Group Differences 7. Test Construction

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Book SynopsisAt a time when there is increasing need to offer psychotherapeutic approaches that accommodate clients' religious and spiritual beliefs, and acknowledge the potential for healing and growth offered by religious frameworks, this book explores psychology from an Islamic paradigm and demonstrates how Islamic understandings of human nature, the self, and the soul can inform an Islamic psychotherapy.Drawing on a qualitative, grounded theory analysis of interviews with Islamic scholars and clinicians, this unique volume distils complex religious concepts to reconcile Islamic theology with contemporary notions of psychology. Chapters offer nuanced explanations of relevant Islamic tradition and theological sources, consider how this relates to Western notions of psychotherapy and common misconceptions, and draw uniquely on first-hand data to develop a new theory of Islamic psychology. This, in turn, informs an innovative and empirically driven model of practice that translates ITrade Review"This book is both timely and meaningful as it captures the context, methodologies, and author’s reflections on the emerging field of Islamic Psychology. It is an impressive addition to the literature, and I recommend it highly for those in academia and clinical practice."-- Amber Haque, PhD, Professor of Psychology, Doha Institute for Graduate Studies, Qatar"This much anticipated book by one of the leading contemporary figures in Islamic psychology is one of the most important contributions to date on this topic. Rothman's goal of advancing an understanding of human psychology rooted in an authentic, indigenous Islamic perspective is both noble and of critical importance. His work is also a beautiful example of the continuation of the development of psychological theory and application from within the larger legacy of the Islamic intellectual tradition as well as modern psychology. To the benefit of readers, the text is imbued with insight gained from almost 20 years of clinical experience that Rothman brings to his discussion and is underpinned by his humility and sincerity, both of which come through in his writing, making this work not only scientifically rigorous, but incredibly heartfelt and accessible. This book has relevance to so many areas of inquiry and should be mandatory reading in courses on Islamic psychology and psychotherapy, courses that delve into the intersection of science, psychology and religion, or by anyone interested in this topic."-- Carrie York Al-Karam, PhD, President, Alkaram Institute, USA"This is a ground-breaking book that fills an important void in the current psychological literature and sets the ground for a much needed Islamic orientation to psychotherapy that is suited to address the psycho-spiritual issues of Muslim patients, globally. Thus far, Eurocentric models have been insufficient to meet this need, and even ‘Islamic’ adaptations of these models have served to undermine and underestimate the richness found in the Islamic intellectual tradition. This book is a demonstration of the richness of the Islamic heritage and its ability to be authentically translated into therapeutic application to address practical mental health needs of Muslim populations."-- Hooman Keshavarzi, PsyD, Executive Director, Khalil Center, USA & Canada "This book is both timely and meaningful as it captures the context, methodologies, and author’s reflections on the emerging field of Islamic Psychology. It is an impressive addition to the literature, and I recommend it highly for those in academia and clinical practice."-- Amber Haque, PhD, Professor of Psychology, Doha Institute for Graduate Studies, Qatar"This much anticipated book by one of the leading contemporary figures in Islamic psychology is one of the most important contributions to date on this topic. Rothman's goal of advancing an understanding of human psychology rooted in an authentic, indigenous Islamic perspective is both noble and of critical importance. His work is also a beautiful example of the continuation of the development of psychological theory and application from within the larger legacy of the Islamic intellectual tradition as well as modern psychology. To the benefit of readers, the text is imbued with insight gained from almost 20 years of clinical experience that Rothman brings to his discussion and is underpinned by his humility and sincerity, both of which come through in his writing, making this work not only scientifically rigorous, but incredibly heartfelt and accessible. This book has relevance to so many areas of inquiry and should be mandatory reading in courses on Islamic psychology and psychotherapy, courses that delve into the intersection of science, psychology and religion, or by anyone interested in this topic."-- Carrie York Al-Karam, PhD, President, Alkaram Institute, USA"This is a ground-breaking book that fills an important void in the current psychological literature and sets the ground for a much needed Islamic orientation to psychotherapy that is suited to address the psycho-spiritual issues of Muslim patients, globally. Thus far, Eurocentric models have been insufficient to meet this need, and even ‘Islamic’ adaptations of these models have served to undermine and underestimate the richness found in the Islamic intellectual tradition. This book is a demonstration of the richness of the Islamic heritage and its ability to be authentically translated into therapeutic application to address practical mental health needs of Muslim populations."-- Hooman Keshavarzi, PsyD, Executive Director, Khalil Center, USA & Canada "Abdallah Rothman has accomplished the commendable task of providing a much-needed framework for the understanding of the theory and practice of Islamic psychology."-- Samuel Bendeck Sotillos, Spiritual Psychology And CounselingTable of ContentsAuthor’s NoteAcknowledgements Foreword by Abdal Hakim Murad1: Beyond Islamization: Re-envisioning Western Psychotherapy within an Indigenous Psychological Paradigm2: Islam and Psychology: The Development of a New FieldReflection 1: A Journey of the Soul, A Journey to Islam 3: Grounded Theory and Theology: A Methodological Approach to Constructing a Religiously Inspired Theoretical FrameworkReflection 2: A Believer and a Scholar4: An Islamic Model of the Soul: Theoretical Foundations for Islamic Psychology and PsychotherapyReflection 3: In the field: A Finite Pool of Clinicians and a Sea of Reluctant Scholars 5: The Nature and Structure of the Soul: Therapeutic Conceptualisations in Islamic PsychotherapyReflection 4: The Analytic Process: A Symphony of Voices with One Conductor 6: Stages and Development of the Soul: The Clinical Scope of Islamic Psychotherapy7: Reflections Upon a Framework for an Islamic Psychology and Psychotherapy: An Agenda for Research and PracticeReflection 5: An Unwitting Academic in a New World of Theoretical Possibility

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Book SynopsisA systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book areTrade Review"The PsychoSystems team at the University of Amsterdam has sparked a conceptual and methodological revolution in psychology. Their network approach to mental disorders is galvanizing our field, producing an urgent need for an accessible, user-friendly text for novices as well as for experienced researchers. Network Psychometrics with R is a splendid book that fulfills this need admirably. Importantly, the authors are seasoned teachers of network analysis, accustomed to introducing the approach to beginners in the field." -- Professor Richard McNally, Harvard University, USA"This thorough introduction into all important details of network psychometrics, by a group of authors including many of the leading scientists in the field, fills an important lacuna in the literature. It is highly recommended for widespread use in teaching and applied research." -- Professor Peter Molenaar, Pennsylvania State University, USA"The PsychoSystems team at the University of Amsterdam has sparked a conceptual and methodological revolution in psychology. Their network approach to mental disorders is galvanizing our field, producing an urgent need for an accessible, user-friendly text for novices as well as for experienced researchers. Network Psychometrics with R is a splendid book that fulfills this need admirably. Importantly, the authors are seasoned teachers of network analysis, accustomed to introducing the approach to beginners in the field." Professor Richard McNally, Harvard University, USA"This thorough introduction into all important details of network psychometrics, by a group of authors including many of the leading scientists in the field, fills an important lacuna in the literature. It is highly recommended for widespread use in teaching and applied research." Professor Peter Molenaar, Pennsylvania State University, USATable of ContentsI: Network Science in R 1 Network Perspectives 2 Short Introduction to R 3 Descriptive Analysis of Network Structures 4 Constructing and Drawing Networks in qgraph 5 Association and Conditional Independence; II: Estimating Undirected Network Models 6 Pairwise Markov Random Fields 7 Estimating Network Structures using Model Selection 8 Network Stability, Comparison, and Replicability; III: Network Models for Longitudinal Data 9 Longitudinal Design Choices: Relating Data to Analysis 10 Network Estimation from Time Series and Panel Data 11 Modeling Change in Networks; IV: Theory and Causality 12 Causal Inference 13 Idealized Modeling of Psychological Dynamics

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Book SynopsisAll data are the result of human actions whether by experimentations, observations, or declarations. As such, the presumption of knowing what data are about is subject to imperfections that can affect the validity of research efforts. With calls for data-based research comes the need to assure the reliability of generated data. The reliability of converting texts into analyzable data has become a burning issue in several areas. However, this issue has been met by only a few limited, and sometimes misleading measures of the extent to which data can be trusted as surrogates of the phenomena of analytical interests. The statistic proposed by the author â Krippendorffâs Alpha â is widely used in the social sciences, not only where human judgements are involved but also where measurements are compared. The Reliability of Generating Data expands on the authorâs seminal work in content analysis and develops methods for assessing the reliability of the kind Table of ContentsHow I became interested in reliability issues. 1. On the epistemology of reliable data. 2. Simplest kinds: The replicability of categorizing predefined units. 3. Some properties of the Alpha. 4. Alpha compared with primarily nominal agreement measures. 5. Metric differences between single-valued units.6. The quadrilogy for single-valued predefined units and big data. 7. Multi-valued coding of predefined units.8. Partitioning continua and coding relevant segments. 9. Preserving the coherency of identified segments in continua. 10. Distinctions drawn within continua. 11. Text mining and information retrieval. 12. Diagnostic devices and remedial actions. 13. Some special applications. 14. Statistical considerations. 15. Reliability standards. 16. Toward a general calculus of differences and agreements. Appendix. References

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Book SynopsisThis book introduces best practices in longitudinal data analysis at intermediate level, with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following: Provides datasets and examples online Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis Conceptualises the analysis of comparative (experimental and observational) studies It is the ideal companion for researchers and students in epidemiological, health, and social and behavioral sciences working with longitudinal studies without a mathematical backgrouTrade Review"Overall, the book is well written. It is clear and allows the reader understanding the main concepts behind models for longitudinal data analysis, with few effort from a technical viewpoint. The examples used to illustrate the methods covered in the textbook are numerous and also rather easy to follow. This helps the reader learn how to proceed with a full longitudinal data analysis."Maria Francesca Marino, University of Florence, Italy, The American Statistician, February 2024.Table of Contents1. Scientific Framework of Data Analysis 2. Revisiting and Shortcomings of Standard Linear Regression Models 3. An Introduction to the Analysis of Longitudinal Data 4. Model Building for Longitudinal Data Analysis 5. Analysis of a Pre/Post Measurement Design 6. Analysis of Longitudinal Life-Event Studies 7. Analysis of Longitudinal Experimental Studies

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Book SynopsisSemantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases.Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge methods to organize, identify patterns and structures, and understand the meanings of our information society. The first chapters in this book offer step-by-step guidelines for conducting semantic network analysis, including choosing and preparing the text, selecting desired words, constructing the networks, and interpreting their meanings. Free software tools and code are also presented. The rest of the book displays state-of-the-art studies from Table of Contents1. How to Conduct Semantic Network Analysis Elad Segev2. The News Coverage of Threats: Iranian Nuclear Programs in Israeli Press Noa A. Hatzir, Elad Segev, Kohei Watanabe and Atsushi Tago3. Provocation Narratives in Chinese and US Newspapers Yuan Zhou, Sandrine Boudana and Elad Segev4. Cable News Channels’ Partisan Ideology and Market Share Growth as Predictors of Social Distancing Sentiment during the COVID-19 Pandemic James A. Danowski, Bei Yan and Ken Riopelle5. Politicizing the Holocaust: A Comparative Analysis of Israeli and German Speeches Maya Hadar, Regula Miesch and Elad Segev6. Network of Ceavages? British Paradiplomacy in the (digital) International Discourse around Brexit Jérôme Chariatte and Diana Ingenhoff7. Sexual Assaults Blindsided by Politics on Twitter: Semantic Network Analysis of Symbolic #MeToo Cases in Japan and South Korea Saki Mizoroki and Bumsoo Kim8. Time to be Happy? WhatsApp and Phatic Communication within the Extended Family Noa A. Hatzir9. School Improvement: Semantic Network Analysis of the LiteratureAudrey Addi-Raccah, Tali Shahrabani and Elad Segev10. Identifying Patterns in Communication Science: Mapping Knowledge Structures using Semantic Network Analysis of Keywords Nico Pfiffner11. Summary and ConcwlusionElad Segev

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Book SynopsisThis book investigates the situated (re)production of categories, from the most mundane and unremarkable to those most strongly associated with power and privilege. By examining the reciprocal relationships between categorial phenomena and the basic structures and practices of social interaction, the book provides a new framework for integrating conversation analysis and membership categorization analysis.Across its ten chapters, the book describes a conversation analytic approach to studying categories and categorization, charts the development and history of membership categorization analysis, and addresses core methodological challenges and practices associated with using this approach. After mapping out the new framework developed in the book, each chapter describes intersections between categorial phenomena and the domains that comprise the infrastructure of social interaction. The book concludes by exploring applications, interventions, and impacts of understanding cate

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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 SynopsisThis book offers first-person accounts of the experience of psychosis from the inside and the outside, through the eyes of two doctors, one of whom has experienced psychosis and both of whom have worked for decades in the field of psychiatry.Underpinned by rigorous academic analysis using an evocative duo-ethnographic approach, the book explores the cultural and subcultural influences from childhood onwards both traumatic and resilience-building that have shaped their lives. Both authors reflect on strategies they learned early in life for dealing with challenges, each managing to function at a high level while avoiding awareness of their vulnerability. They reflect on the potential dangers of using their expertise and position of power in psychiatry simply to diagnose mental illness and prescribe medication. The differences and similarities in the authors' stories provide a productive tension highlighting the complexities of this paradigm shift that is happening in psychiaTrade ReviewA big takeaway from this book is the inequitable clash of world views when a person with lived experience of mental distress enters the sanctum of mainstream psychiatry. As a psychiatric registrar Patte Randal used her lived experience to foster connection, meaning and hope while many of her colleagues were steeped in psychiatric pessimism, biological reductionism, risk management and the use of force. Patte paid a heavy price but persisted for decades and triumphed with recovery affirming approaches that, unlike much of mainstream psychiatry, honour the etymology of her profession as ‘healers of the soul’.Mary O’Hagan: Former Mental Health Commissioner; Author ‘Madness Made Me’This book is remarkable for its scope, its honesty and directness. Dr. Randal’s life covers so many different perspectives on psychosis and extreme experiences. She has built on Laing’s recognition of finding meaning and the value of human contact for people with psychosis. Through her personal adventures and academic research she has inspired others, including her co-author and interviewer Dr. Stanton, and also built a teaching resource in this complex field. Dr.Stanton describes her own journey and helps link us to other positive developments in psychiatric therapy. If life is a "gigantic cosmic jig-saw puzzle" then this inspiring book may help you find solutions.Nick Argyle (MRCPsych; FRANZCP) Psychiatrist in Australasia working with refugees: Formerly Clinical Director Auckland District Health Board."This book contains the stories of two remarkable women doctors. Their courage and commitment to all they serve, and themselves, shines out of every page. I have been privileged to work alongside them both over many years and I have witnessed their dedication to challenging the traditional practice of psychiatry to be more humanistic and healing. I have learnt more from Patte than from any professional development I have ever attended. They have both walked the walk and have been punished for not submitting to the dominant discourse. Nevertheless, they have persisted and this book is a tribute to their determination and perseverance; as is 'The Gift Box', which I believe is a valuable resource for any service that is genuinely interested in promoting growth and self-development."Debbie Antcliff (FRANZCP) Retired Psychiatrist: Formerly Clinical Director Buchanan Rehabilitation Centre; Director of Area Mental Health Services Auckland District Health Board "Finding Hope in the Lived Experience of Psychosis" provides readers with a unique perspective on paths to recovery. The authors bring out the knowledge and insight that come both from personal experience with psychosis and from professional careers as doctors working in psychiatry. Their exploration of psychosis and extreme states makes for an evocative read."Robert Whitaker author of Anatomy of an Epidemic'The beautiful story-telling stands out in this honest, rich and moving dual account of psychosis viewed from the inside and the outside. Written by two women doctors, trained in psychiatry, this unique evocative book provides a window into a deeply personal experience, and enriches the literature in this complex field.Patrick McGorry Executive Director Orygen Youth Health Research Centre and Professor of Youth Mental Health at University of Melbourne'In this lucidly written dual autobiography, two women, each of gifts and understanding, explore their personal experience of the conceptual fault line that runs through the theory and practice of psychiatry - the fault line dividing lived experience and objective clinical science, mind and soma, faith and scepticism, the numinous and the mundane, compassion and dispassion. They trace their stumbles along this line, their agonies, their triumphant successes and attendant dangers. I played a minor part in the saga of Patte - evidently not on the side of the angels - and recall the hard problems posed for her senior colleagues in doing her justice. I recommend this book to trainees and teachers in psychiatry. Let them read, and consider how they straddle the fault line.JJ Wright. Honorary Professor, Department of Psychological Medicine, University of Auckland School of Medicine.This moving and thought-provoking book is built around the autobiographical accounts of two women doctors who trained as psychiatrists - Patte Randal and Josephine Stanton - and describes their journeys through the profession and as human beings navigating the vicissitudes, challenges, and traumas of life. Crucially, one of the women, Patte, has experienced psychosis herself and through that experience has come to see it as a spiritual emergency, a view that contrasts starkly with the medical reductionist approach of many of her colleagues in mainstream psychiatry. This perspective has enabled her to develop a more human and holistic way of approaching people who are experiencing a psychotic crisis. Readers will appreciate this book’s openness and honesty. It testifies to the importance of being with and learning from people who have lived experience of mental illness and offers an uplifting, positive vision of the way that psychiatry can be practiced in the future.’Richard P Bentall, Professor of Psychology; Author of ‘Madness Explained: Psychosis and Human Nature‘ and ‘Doctoring the Mind: Why Psychiatric Treatments Fail’Table of ContentsPart 1 Becoming Ourselves: Patte’s Story (1951-1980, birth to 29); 1: Trust and Betrayal: The Divided Self; 2: Medical School – Skeletons, Cadavers, Gray’s Anatomy and Desensitisation; 3: An Extreme State and a Sense of Pathway; 4: Research and Metaphor: Medical Nemesis; 5: Completing Medical School – Examining Reflexes; Josephine’s Story (1954 – 1983, birth to 29); 6: Autonomy, Invulnerability, and a Commitment to Service; 7: Losing Sight of Science and Walking Away From Love; 8: Completing Medical School. Training to be Superhuman and Joining the Medical Club; Part 2 Becoming Doctors and Choosing Psychiatry: Patte’s Story 1980-1995 (ages 29-44); 9: The Pleasant Smell of Aftershave and the Imagined Relief of Not Existing; 10: Worse than a Nuclear Winter; 11: Trust Betrayed: Confronting the Devil; 12: Evolving from Atheism – A Spiritual Emergency; 13: Defining the Essence of Psychiatry; Josephine’s Story 1985-1995 (ages 31 to 41); 14: After Africa – Rekindling Passion for Medicine and Love; 15: Feeling Lost in Psychiatry and Found in Mothering; 16: Beginning to Find my Place in Psychiatry; 17: Jumping Through Hoops and Becoming a Patient; Part 3 Learning from Experience: Patte’s Story 1996 to 2020 (ages 45-69); 18: A Herculean Task – ‘Hope and a Future’; 19: Something Wrong on the Inside – The Paradox; 20: Finding my Voice … And Losing It Again; 21: Side Effects, Spirituality, and Finding My Niche; 22: Disruption in Meaning-Making: The Last Extreme State; 23: Lighting a Candle for Justice; 24: Ways of Making Sense; 25: The Re-covery Model; 26: Living the Experience of Now – My Life Beyond Psychiatry; Josephine’s Story 1998 to present day (ages 44-65); 27: Becoming a Psychiatrist – A Pathway of Impossible Jobs; 28: My Alternative Training – Pathway to Becoming the Psychiatrist I want to be; 29: Against All Odds: Maintaining My Personal and Professional Identity; Patte’s Story; 30: Creative Energy and ‘The Gift Box’; Epilogue: It’s About Time.

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Book SynopsisCollaborative Ethnographic Working in Mental Health seeks to chart a new direction for research into mental healthcare, with the aim of creating the conditions for more productive interdisciplinary dialogue. People involved in mental health often fail to recognise how they are described by researchers from the humanities and social sciences, which inhibits productive collaboration. This book seeks to address this problem, by including clinicians and patients in the research process and by shifting attention away from power and knowledge and towards the organisational context. It explores how clinical thinking and behaviour, illness experience, and clinical relationships are all shaped by the bureaucratic context. In particular, it examines tensions between what we want from mental healthcare and how accountable bureaucracies actually work, and proposes that mental healthcare research should not just evaluate new interventions but should investigate new ways of organiTrade Review"Each chapter has a clear message and offers conceptual insight unmasked by anthropologists’ usual convoluted prose. The focus on bureaucracy in practice, and its internal effects, has wide implications for clinical research, opening the lid on that which is neglected in usual intervention-focused studies. In this sense, the book is a major cross-disciplinary bridge-building contribution. Indeed, I think the book makes clear in a way that few others have, why ethnographic research is important to getting to the heart of contemporary dilemmas in psychiatric care; especially by taking seriously the everyday experience and representational practices of patients and staff. The book avoids polarising debate around psychiatry, and taking a fresh viewpoint provides a common platform of shared concern about real challenges." -- David Mosse, Professor of Social Anthropology, SOAS, University of London, UK"Dr Armstrong’s incisive analysis of the mental health system challenges complacent and particularised explanations and presents a mature and systemic account of why mental health systems continue to struggle – harm – fail. Sharing his own lived experience of recovery and evolving agency, we see the demise of well-intentioned and highly trained clinicians to serve the structural and bureaucratic agency of the institution, be that the state, the hospital, the prison and criminal justice system. He does this through the powerful stories and voice of the most afflicted, marginalised, and excluded, providing some seminal lessons for practitioners, policy makers, legislators. Although he brings theory into to the analysis, he does so cautiously, never failing to sketch out the limitations of worshipping theory rather than testing it through real world experience and local realities." -- Professor Kamaldeep Bhui, Professor of Psychiatry and Senior Research Fellow, University of Oxford, UK"Each chapter has a clear message and offers conceptual insight unmasked by anthropologists’ usual convoluted prose. The focus on bureaucracy in practice, and its internal effects, has wide implications for clinical research, opening the lid on that which is neglected in usual intervention-focused studies. In this sense, the book is a major cross-disciplinary bridge-building contribution. Indeed, I think the book makes clear in a way that few others have, why ethnographic research is important to getting to the heart of contemporary dilemmas in psychiatric care; especially by taking seriously the everyday experience and representational practices of patients and staff. The book avoids polarising debate around psychiatry, and taking a fresh viewpoint provides a common platform of shared concern about real challenges." -- David Mosse, Professor of Social Anthropology, SOAS, University of London, UK"Dr Armstrong’s incisive analysis of the mental health system challenges complacent and particularised explanations and presents a mature and systemic account of why mental health systems continue to struggle – harm – fail. Sharing his own lived experience of recovery and evolving agency, we see the demise of well-intentioned and highly trained clinicians to serve the structural and bureaucratic agency of the institution, be that the state, the hospital, the prison and criminal justice system. He does this through the powerful stories and voice of the most afflicted, marginalised, and excluded, providing some seminal lessons for practitioners, policy makers, legislators. Although he brings theory into to the analysis, he does so cautiously, never failing to sketch out the limitations of worshipping theory rather than testing it through real world experience and local realities." -- Professor Kamaldeep Bhui, Professor of Psychiatry and Senior Research Fellow, University of Oxford, UKTable of Contents1. Everybody Knows About Mental Health 2. What Does it Mean to Know About Mental Healthcare? 3. No Mental Healthcare Without Mental Healthcare Institutions 4. Bipolar: The Beautiful Opponent with Catriona Watson5. Learning to be Ill, Learning to be Well 6. Untethered with Hugh Palmer7. Us and Them: Why Nobody Wins with Rowan JonesConclusion

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Book SynopsisThe Routledge Handbook of Media Use and Well-Being serves as the first international review of the current state of this fast-developing area of research. The volume provides a multifaceted perspective on the beneficial as well as the detrimental effects of media exposure on psychological health and well-being. As a first-mover, it will define the field of media use and well-being and provide an essential resource for research and teaching in this area.The volume is structured along four central considerations: Processes presents concepts that provide a theoretical bridge between media use and well-being, such as psychological need satisfaction, recovery from stress and strain, self-presentation and self-enhancement, or parasocial interactions with media characters, providing a comprehensive understanding of the underlying processes that drive psychological health and well-being through media. Table of ContentsTable of Contents I. Introduction: What is well-being?1Leonard Reinecke andMary Beth OliverMedia Use and Well-Being: Status Quo and Open Questions2Veronika HutaAn Overview of Hedonic and Eudaimonic Well-being Concepts3C. Scott Rigby andRichard M. RyanTime Well-Spent? Motivation for Entertainment Media and its Eudaimonic Aspects Through the Lens of Self-Determination Theory II. Processes: Psychological Mechanisms Connecting Media Use and Well- Being4Robin Nabi and Abby PrestinThe Tie that Binds: Reflecting on Emotion’s Role in the Relationship between Media Use and Subjective Well-Being5Melissa J. Robinson and Silvia Knobloch-WesterwickMood Management Through Selective Media Use for Health and Well-Being6Anne Bartsch andMary Beth OliverAppreciation of Meaningful Entertainment Experiences and Eudaimonic Well-Being7Diana RiegerMeaning, Mortality Salience, and Media Use8Leonard Reinecke and Allison EdenMedia Use and Recreation: Media-induced Recovery as a Link between Media Exposure and Well-Being9Mike Slater andJonathan CohenIdentification, TEBOTS, and Vicarious Wisdom of Experience: Narrative and the Self10Tilo HartmannParasocial Interaction, Parasocial Relationships, and Well-Being11Sven Joeckel andLeyla DogruelFrom Moral Corruption to Moral Management – Media’s Influence on People’s Morality and Well-Being12Christoph KlimmtSelf-Efficacy: Mediated Experiences and Expectations of Making a Difference13Catalina TomaTaking the

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Book SynopsisStructural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, parTable of ContentsPart I Introduction to Concepts and Principles of Structural Equation Modeling for Health and Medical Research 1. Introduction and Brief History of Structural Equation Modeling for Health and Medical Research2. Vocabulary, Concepts and Usages of Structural Equation Modeling Part II Theory of Structural Equation Modeling 3 The Form of Structural Equation Models4 Model Estimation and Evaluation5 Model Identifiability and Equivalence Part III Applications and Examples of Structural Equation Modeling for Health and Medical Research 6 Choosing Among Competing Specifications 7 Measurement Models for Patient-Reported Outcomes and Other Health-related Outcomes8 Exploratory Factor Analysis9 Mediation and Moderation10 Measurement Bias, Multiple Indicator Multiple Cause Modeling and Multiple Group Modeling 11 Latent Class Analysis 12 Latent Profile Analysis13 Structural Equation Modeling with Longitudinal Data14 Growth Mixture Modeling 15 Special Topics

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Book SynopsisLeveraging the latest developments in MATLAB and its image processing toolbox, this ''cookbook'' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challe

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Book SynopsisThis book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it's ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy Table of Contents1. Introduction 2. Introduction to R Studio and Packages 3. Overview of OLS Regression and Introduction to the General Linear Model 4. Describing Categorical Variables and Some Useful Tests of Association 5. Regression for Binary Outcomes 6. Regression for Binary Outcomes – Moderation and Squared Terms 7. Regression for Ordinal Outcomes 8. Regression for Nominal Outcomes 9. Regression for Count Outcomes 10. Additional Outcome Types 11. Special Topics: Comparing Between Models and Missing Data

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Book SynopsisDescribes the psychotherapeutic use of metaphor in its three basic forms: symbol, story and ritual. Case studies are used to illustrate metaphorical strategies for facilitating new patterns of thought. Exercises are also offered to help therapists develop confidence in thinking metaphorically.

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Book Synopsis

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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 SynopsisWhat Works with Children, Adolescents, and Adults? provides an up-to-date review of research on the effectiveness of psychotherapy and psychological interventions with children, adolescents, adults, people in later life, and people with intellectual and pervasive developmental disabilities.Drawing on recent meta-analyses, systematic reviews, and key research studies in psychotherapy, this volume presents evidence for: the overall effectiveness and cost-effectiveness of psychotherapy the contribution of common factors to the outcome of successful psychotherapy the effectiveness of specific psychotherapy protocols for particular problems. This comprehensive, user-friendly guide will inform clinical practice, service development and policy. It will be invaluable to psychotherapists, service managers, policymakers, and researchers. What Works with Children, Adolescents, and Adults? offers a review of the evideTrade Review"In recent years there has been increasing demand to move towards a clinical practice that is informed by sound research evidence and inevitably this has meant that there has also been a huge increase in the number of publications telling us what the research evidence actually says. To have a useful impact in such a crowded field is not easy but I have little doubt that What Works with Children, Adolescents, and Adults will be one of the books that people will really value reading. As in his previous publications Alan Carr draws on his impressive knowledge of the field and his ability to provide a very accessible and readable text. It is a book that will be useful both for the novice to this area providing a good overview and explanation of basic concepts as well as for the more expert reader for whom it will provide an excellent resource of up-to-date research evidence. An excellent book which I highly recommend." - Ivan Eisler, Reader in Family Psychology and Family Therapy, Kings College, Institute of Psychiatry, London, UK"This book offers a unique and comprehensive up-to-date review of the research into the effectiveness of psychotherapy and psychological interventions with children, adolescents, adults, people in later life, and people with intellectual and pervasive developmental disabilities. Thanks to Alan Carr who has done an admirable job, the book presents a helpful guide to mental health professionals who aim to provide evidence based interventions. I highly recommend this book as a valuable source of information for students, clinicians, and researchers in clinical psychology and psychiatry." - Anegen Trillingsgaard, Department of Psychology University of Aarhus, Denmark "What Works is an outstanding achievement. Professor Carr has effectively translated psychotherapy research findings into principles for clinical practice and public policy. This wide-ranging review is the first to examine treatment outcomes in children, adolescents, adults, the aged, and populations with special needs, providing conclusions with wisdom and reason. Must reading for students and professionals." - Professor Michael Lambert, Department of Psychology, Brigham Young University, USA"This book will be useful for novices to this area, providing a good overview and explanation of basic concepts, and for more expert readers seeking an excellent resource of up-to-date research evidence. This book represents a valuable source of information for students, clinicians, and researchers in clinical psychology and psychiatry. An excellent book, which I highly recommend." - Caroline Morris, Addiction Today, Vol. 19, No. 116, February 2009"Alan Carr's review of research on the effectiveness of psychotherapy is well organised, accessible and very timely... Altogether a well written, rigorous and accessible text with a real sense of warmth underpinning the vigorous discussion. I highly recommend it." - Sarah Catchpole, Healthcare, Counselling & Psychotherapy Journal, Vol. 9 No. 2, April 2009"In recent years there has been increasing demand to move towards a clinical practice that is informed by sound research evidence and inevitably this has meant that there has also been a huge increase in the number of publications telling us what the research evidence actually says. To have a useful impact in such a crowded field is not easy but I have little doubt that What Works with Children, Adolescents, and Adults will be one of the books that people will really value reading. As in his previous publications Alan Carr draws on his impressive knowledge of the field and his ability to provide a very accessible and readable text. It is a book that will be useful both for the novice to this area providing a good overview and explanation of basic concepts as well as for the more expert reader for whom it will provide an excellent resource of up-to-date research evidence. An excellent book which I highly recommend." - Ivan Eisler, Reader in Family Psychology and Family Therapy, Kings College, Institute of Psychiatry, London, UK"This book offers a unique and comprehensive up-to-date review of the research into the effectiveness of psychotherapy and psychological interventions with children, adolescents, adults, people in later life, and people with intellectual and pervasive developmental disabilities. Thanks to Alan Carr who has done an admirable job, the book presents a helpful guide to mental health professionals who aim to provide evidence based interventions. I highly recommend this book as a valuable source of information for students, clinicians, and researchers in clinical psychology and psychiatry." - Anegen Trillingsgaard, Department of Psychology University of Aarhus, Denmark "What Works is an outstanding achievement. Professor Carr has effectively translated psychotherapy research findings into principles for clinical practice and public policy. This wide-ranging review is the first to examine treatment outcomes in children, adolescents, adults, the aged, and populations with special needs, providing conclusions with wisdom and reason. Must reading for students and professionals." - Professor Michael Lambert, Department of Psychology, Brigham Young University, USA"This book will be useful for novices to this area, providing a good overview and explanation of basic concepts, and for more expert readers seeking an excellent resource of up-to-date research evidence. This book represents a valuable source of information for students, clinicians, and researchers in clinical psychology and psychiatry. An excellent book, which I highly recommend." - Caroline Morris, Addiction Today, Vol. 19, No. 116, February 2009"Alan Carr's review of research on the effectiveness of psychotherapy is well organised, accessible and very timely... Altogether a well written, rigorous and accessible text with a real sense of warmth underpinning the vigorous discussion. I highly recommend it." - Sarah Catchpole, Healthcare, Counselling & Psychotherapy Journal, Vol. 9 No. 2, April 2009"…easy to use for non-researchers…excellent sections on children and adolescents, older adults and people with learning disabilities…It provides a good deal of detail and is well organized…a very helpful contribution to psychotherapists wanting to base their practice on the best available evidence. It covers the age spectrum will, and provides a good balance between practice advice and research summary…well worth buying…" – Frank Margison, M.D., European Journal of Psychotherapy and CounselingTable of ContentsPreface. Psychotherapy, Psychotherapy Research, and Translating Science into Practice. The Overall Effectiveness and Cost-effectiveness of Psychotherapy. Common Factors in Psychotherapy. Effectiveness of Psychotherapy and Psychological Interventions with Specific Problems in Children, Adolescents, and People with Intellectual Disabilities and Pervasive Developmental Disorders. Effectiveness of Psychotherapy and Psychological Interventions with Specific Problems in Adulthood and Later Life. Additional Elements in the Psychotherapy Evidence-base. Conclusions.

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Book SynopsisThe authors provide a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS Statistics Version 19 for Windows. Trade Review"Alan Bryman and Duncan Cramer take the reader on a journey through their first steps in using SPSS and data entry, through to how to decide which statistical technique is the most appropriate for their research and how to interpret each aspect of their analyses. This book is one of the most comprehensive and accessible books available on the market." - Professor Dominic Upton, Head of Psychology, University of Worcester, UK"Bryman and Cramer’s Quantitative Data Analysis has long been one of the best texts in the field. Crucially it explains why something is done, as well as how. Most importantly it does it without recourse to daunting formulae and calculations. It takes students from the beginnings of data analysis, assuming no knowledge of either statistics or SPSS and by the end of it a student can be an accomplished analyst." - Malcolm Williams, Director, Cardiff University. School of Social Sciences, UK"A helpful, user friendly introduction for quantitative data analysis using SPSS designed for students in both psychology and sociology fields." - Andrada Ivanescu, East Carolina University, US, in The American Statistician"Alan Bryman and Duncan Cramer take the reader on a journey through their first steps in using SPSS and data entry, through to how to decide which statistical technique is the most appropriate for their research and how to interpret each aspect of their analyses. This book is one of the most comprehensive and accessible books available on the market." - Professor Dominic Upton, Head of Psychology, University of Worcester, UK"Bryman and Cramer’s Quantitative Data Analysis has long been one of the best texts in the field. Crucially, it explains why something is done, as well as how. Most importantly, it does it without recourse to daunting formulae and calculations. It takes students from the beginnings of data analysis, assuming no knowledge of either statistics or SPSS, and by the end of it a student can be an accomplished analyst." - Malcolm Williams, Director, Cardiff University. School of Social Sciences, UKTable of ContentsPreface. 1. Data Analysis and the Research Process. 2. Analyzing Data with Computers: First Steps with SPSS 19, 18 and 17. 3. Analyzing Data with Computers: Further Steps with SPSS 19, 18 and 17. 4. Concepts and Their Measurement. 5. Summarizing Data. 6. Sampling and Statistical Significance. 7. Bivariate Analysis: Exploring Differences between Scores on Two Variables. 8. Bivariate Analysis: Exploring Relationships. 9. Multivariate Analysis: Exploring Differences among Three or More Variables. 10. Multivariate Analysis: Exploring Relationships among Three or More Variables. 11. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises. Glossary. Bibliography. Index.

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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 SynopsisGives clear guidance on how to set up and conduct small scale research that is based in clinical practice Assumes no prior knowledge of qualitative research and is aimed specifically at psychotherapists Recognises development of the evidence base for psychotherapy through qualitative research as a key objective for practitioners.Trade Review"This is a useful and informative introductory book. It sparked my interest in pursuing some of the suggested methods and topics of research within my own setting." (Gestalt Journal of Australia and New Zealand, June 2010) Table of ContentsAbout the Editors vii Contributing Authors ix Preface xi Part I Engaging Qualitative Research and the Relational-centred Approach 1 Introduction 1 1 Qualitative Relational-centred Research: A 'Voyage of Discovery' 3 2 Competing Qualitative Research Traditions 13 3 Embodied Co-creation: Theory and Values for Relational Research 29 4 Challenging 'Evidence-based Practice' 45 5 Quality in Qualitative Relational-centred Research 59 Part II Relational-centred Research: Being and Doing 69 Introduction 69 6 Setting Up Research 71 7 The Research Encounter: Co-creating your Data 87 8 Embracing Relational Research: Learning from Therapy 107 9 Engaging 'Process' 127 10 Analysis of Data Linda Finlay Anna Madill 145 11 Relational Ethics 159 12 Becoming a Relational Researcher 175 Part III Relational-centred Research in Action 183 Introduction 183 13 'My Heart was Killing Me': A Hermeneutic Phenomenological Study of the Lived Experience of Anger Virginia Eatough 185 14 A Therapist's Portrait of a Clinical Encounter with a Somatizer Maria Luca 197 15 Relating through Difference: A Critical Narrative Analysis Darren Langdridge 213 16 A Journey into Survival and Coping by Women Survivors of Childhood Sexual Abuse Susan L Morrow 227 References 241 Index 259

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