Psychological methodology Books

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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 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 SynopsisConducting Meta-Analysis Using SAS reviews the meta-analysis statistical procedure and shows the reader how to conduct one using SAS. It presents and illustrates the use of the PROC MEANS procedure in SAS to perform the data computations called for by the two most commonly used meta-analytic procedures, the Hunter & Schmidt and Glassian approaches.This book serves as both an operational guide and user's manual by describing and explaining the meta-analysis procedures and then presenting the appropriate SAS program code for computing the pertinent statistics. The practical, step-by-step instructions quickly prepare the reader to conduct a meta-analysis. Sample programs available on the Web further aid the reader in understanding the material.Intended for researchers, students, instructors, and practitioners interested in conducting a meta-analysis, the presentation of both formulas and their associated SAS program code keeps the reader and user in touch with technical aspects of the meta-analysis process. The book is also appropriate for advanced courses in meta-analysis psychology, education, management, and other applied social and health sciences departments.Trade Review"The authors have done a good job compiling a set of instructions that might encourage some researchers to successfully complete a reasonable empirical study in place of a more traditional qualitative literature review. The book presents a well-researched look at successful applications."—Journal of the American Statistical Association"...a 'must have' for a researcher or professional interested in writing his or her own program for conducting meta-analysis."—Dennis DoverspikeUniversity of AkronTable of ContentsContents: Preface. The Theory of Meta-Analysis--Sampling Error and the Law of Small Numbers. Meta-Analysis of Effect Sizes. Meta-Analysis of Correlations. Outliers in Meta-Analytic Data. Summary and Guidelines for Implementing a Meta-Analysis. Appendices: Reference and Information Sources for the Behavioral and Social Sciences. Equation for Computing the Pooled Within-Group Standard Deviation. Conversion and Transformation Equations. Upper Percentage Points for the Chi-Square Distribution.

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Book SynopsisResearchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a variety of models alongside clear examples of hands-on application. Each chapter in this book covers a specific application of regularization techniques with a user-friendly technical description, followed by examples that provide a thorough demonstration of the methods in action.Key Features: Description of regularization methods in a user friendly and easy to read manner Inclusion of regularization-based approaches for a variety of statistical analyses commonly used in the social sciences, including both univariate and multivariate models Fully developed extended examples using multiple software packages, including R, SAS, and SPSS

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Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment.After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data.The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The thir

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Book SynopsisResearch Methods in Applied Behavior Analysis, third edition, is a practical and accessible text that provides the beginning researcher with a clear description of how behavior analysts conduct applied research and submit it for publication.In a sequence of ten logical steps, this text covers the elements of single-case research design and the practices involved in organizing, implementing, and evaluating research studies. This revision covers important new topics for consideration when designing a study, including ecological validity, procedural fidelity, and the consecutive controlled case series design, which includes replications of single-cases and the statistical analysis of accumulated studies. Also included are chapter summaries, specific tips for master's and doctoral researchers, and recommended procedures for BCBA consultants.Rich with details from the authors' vast experience and numerous examples from published research, this text is

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Book SynopsisMultivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous editions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This

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Book SynopsisThis book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression.Written in an easy-going and clear style, it uses policing data to illustrate concepts. Easily identified Main Take-Aways and Key Terms features aid student understanding. Designed to combat the fear of mathematics and statistics often held by students in the social sciences, plain verbiage, multiple examples, and clear demonstrations combine to achieve the actualization and proper contextualized use of univariate and bivariate statistics. This work also serves as a launching pad for further study in statistics.As an accessible introduction to statistics in criminal justice and criminology, this text will appeal to both students and instructors in introductory criminal justice and criminology stati

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Book SynopsisThis expanded second edition of Scientific Method shows how science works, fails to work or pretends to work by looking at examples from physics, biomedicine, psychology, sociology and economics.Scientific Method aims to help curious readers understand the idea of science, not by learning a list of techniques but through examples both historical and contemporary. Staddon affirms that if the reader can understand successful studies as well as studies that appear to be scientific but are not, they will become a better judge of the âœscienceâ in circulation today. To this end, this new edition includes a new chapter, What is Science?, which points out that science, like any human activity, has its own set of values, with truth being the core. Other new chapters focus on the emergence of AI and machine learning, science and diversity, and behavioral economics. The book also includes textual features such as bullet-points and text boxes on topical issues.Scientific M

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Book SynopsisThis book is the first hands-on roadmap for conducting rigorous experimental research on second language speech processing and spoken word recognition.Isabelle Darcy expertly defines key concepts and offers a detailed step-by-step guide to designing empirical psycholinguistic research in this complex, interdisciplinary area. The book covers the following: setting up an efficient workflow to enhance reproducibility of findings; determining a methodology; selecting experimental controls and designing stimuli; collecting data using an array of methodological tools; addressing common challenges; preparing and analyzing data; preregistering the study; and sharing data transparently in accordance with Open Science practices. Darcy provides everything needed to design and carry out robust behavioral studies on L2 speech processing, in a laboratory or online.This book will be an invaluable practical resource for researchers and advanced students in second language speech learn

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Book SynopsisEthical Issues in Psychology: A Critical Introduction offers readers a clear review of current ethical practices and ideas in psychology and goes on to challenge some of the agreed wisdom on ethics.Ethical issues within psychology are not easy to resolve and debates continue as we encounter new dilemmas. This book introduces ethics and their importance, and uses examples from psychological research to consider key ethical issues; ethical principles and guidelines for psychologists, including BPS guidelines; ethics in practice in psychology; ethical problems within psychology, such as racism; and methods for ethical research, including socially sensitive research, internet-mediated research, and the use of animals in psychological research. Fully up-to-date, this book considers recent challenges for researchers and teachers including privacy and consent dilemmas in the use of social media for psychological research, the rise of the open science movement and an awareness

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Book SynopsisAt the beginning of writing a thesis, many questions arise, for example:â How do I know that I have formulated a relevant research problem?â Have I chosen the right empirical method?â Are interviews or observations appropriate?â How should I structure my text to get my point across in the best way?â What exactly is a theory?â How can the quality of my work be assessed?Crafting Your Thesis is a broad and accessible handbook in qualitative methods that gives you clear and concise answers to these questions â and many more. The book can be used both in introductory university courses, where you as a student encounter questions of method for perhaps the first time, and right up to Masterâs thesis level, where it gives a quick overview of different available qualitative methods and highlights questions that must be dealt with when crafting the thesis.

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Book SynopsisPattern Theory is a groundbreaking exploration of the concept of pattern across a range of disciplines, including science, neuroscience, psychology, and social sciences.This book examines the meaning and implications of pattern, presenting a comprehensive body of theory that unifies concepts of form, order, and regularity and connects them to memory and perception. By challenging existing orthodoxies and linking evidence from brain and mind function, it outlines a robust theoretical framework around pattern searching and matching, pattern activation, and the continuity of pattern nexuses. This in-depth study of pattern theory and pattern thinking delves into the cognitive basis of patterns, their impact on reasoning and learning, and the social and collaborative nature of pattern recognition, expression, and representation. It also addresses philosophical issues and implications surrounding shared pattern thinking and introduces a broad conceptual basis for pattern inq

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Book SynopsisThis book explores the current developments and future implications of psychotherapeutic theories, research methodologies, and practices in this rapidly advancing digital economy.This book is an invaluable resource for those interested in: The effects of our âinformation economyâ on our brains, consciousness, inner world and the way as psychotherapists we conceptualise The promise of autonomous psychotherapy programmes that integrate âtherapy with the actual relationship experiences of the individual userâ Whether traditional psychotherapy can provide the best antidote to the ills of our digital age An overarching concern is that we will no longer be able to control technology. Hence, the need to be clearer not only regarding the effect of the digital era on the processes of the psychological therapies but the effects on us, as people who are clients/patients and psychological therapists - perhaps before it is too late, if isnât already.This book has been developed from a special issue of the European Journal of Psychotherapy & Counselling.

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Book SynopsisWith each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language.Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.Trade Review“…In this recent edition more exercises have been included at the end of each chapter. The exercises make use of data sets in the examples and further data sets that are downloadable from the Internet, giving the reader the opportunity to explore. The index is clear to follow and throughout the book there are plenty of references. The book is very accessible for the Stata novice or those requiring a concise summary of Stata’s functionality.” —Diane Berry (University College London), Journal of the Royal Statistical Society “…The book is clearly written and it provides a good introduction to the Stata language. … The book excels in giving very clear and concise descriptions of a number of important, modern statistical methodologies. …” —Michael Evans (University of Toronto), International Statistical Review, 2007 “Rabe-Hesketh and Everitt provide an authoritative overview of modern methods of applied statistics. … they cover the major methods of biostatistics together with explanations of how to perform these analyses using Stata. The authors also provide valuable references to other texts … The many examples and effective graphics add greatly to the value of this publication. … This book is well written and carefully copyedited. … owners of the [previous] editions would benefit from the updated material … a valuable overview of modern statistical methods. …” —The Stata Journal, Vol. 7, No. 2, 2007 "For Stata users who wish to keep up with the latest changes in the software, this handbook is an excellent reference." – Timothy J. Robinson, University of Wyoming, in Journal of the American Statistical Association, March 2008, Vol. 103, No. 481Praise for previous editions: “…a useful compendium of examples of Stata analyses and data management tricks…covers the gamut of major statistical applications, from the most basic to some quite sophisticated…extremely useful, well-written, and worth the price.” —The American Statistician “The book is very well written and is both an excellent introduction to Stata and a useful reference book on applied statistics. I would certainly recommend it to anybody interested in this package.” —Significance, December 2004 “… the handbook starts with a brief, but very useful, introduction to Stata including getting help with Stata, data management, writing simple programs, and how to keep Stata up to date. Particularly useful will be the introduction to the new graphics facilities which have changed out of all recognition from that available in previous versions. … The main strengths of this well-written and useful handbook lie in the broad range of statistical methods it covers and in the clear step-by-step examples.” —Statistics in Medicine“…In this recent edition more exercises have been included at the end of each chapter. The exercises make use of data sets in the examples and further data sets that are downloadable from the Internet, giving the reader the opportunity to explore. The index is clear to follow and throughout the book there are plenty of references. The book is very accessible for the Stata novice or those requiring a concise summary of Stata’s functionality.” —Diane Berry (University College London), Journal of the Royal Statistical Society “…The book is clearly written and it provides a good introduction to the Stata language. … The book excels in giving very clear and concise descriptions of a number of important, modern statistical methodologies. …” —Michael Evans (University of Toronto), International Statistical Review, 2007 “Rabe-Hesketh and Everitt provide an authoritative overview of modern methods of applied statistics. … they cover the major methods of biostatistics together with explanations of how to perform these analyses using Stata. The authors also provide valuable references to other texts … The many examples and effective graphics add greatly to the value of this publication. … This book is well written and carefully copyedited. … owners of the [previous] editions would benefit from the updated material … a valuable overview of modern statistical methods. …” —The Stata Journal, Vol. 7, No. 2, 2007 Praise for previous editions:“…a useful compendium of examples of Stata analyses and data management tricks…covers the gamut of major statistical applications, from the most basic to some quite sophisticated…extremely useful, well-written, and worth the price.” —The American Statistician “The book is very well written and is both an excellent introduction to Stata and a useful reference book on applied statistics. I would certainly recommend it to anybody interested in this package.” —Significance, December 2004 “… the handbook starts with a brief, but very useful, introduction to Stata including getting help with Stata, data management, writing simple programs, and how to keep Stata up to date. Particularly useful will be the introduction to the new graphics facilities which have changed out of all recognition from that available in previous versions. … The main strengths of this well-written and useful handbook lie in the broad range of statistical methods it covers and in the clear step-by-step examples.” —Statistics in MedicineTable of ContentsA Brief Introduction to Stata. Data Description and Simple Inference: Female Psychiatric Patients. Multiple Regression: Determinants of Pollution in U.S. Cities. Analysis of Variance I: Treating Hypertension. Analysis of Variance II: Effectiveness of Slimming Clinics. Logistic Regression: Treatment of Lung Cancer and Diagnosis of Heart Attacks. Generalized Linear Models: Australian School Children. Summary Measure Analysis of Longitudinal Data: Treatment of Post-Natal Depression. Random Effects Models: Thought Disorder and Schizophrenia. Generalized Estimating Equations: Epileptic Seizures and Chemotherapy. Some Epidemiology. Survival Analysis: Retention of Heroin Addicts in Methadone Maintenance Treatment. Maximum Likelihood Estimation: Age of Onset of Schizophrenia. Principal Components Analysis: Hearing Measurement using an Audiometer. Cluster Analysis: Tibetan Skulls and Determinants of Pollution in U.S. Cities. Appendix. References. Index.

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Book SynopsisThis new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion.Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis.Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.Trade Review"An excellent volume on an array of next-steps for learning in the multilevel arena. The result is a superb resource on the state-of-the-art and the cutting edge of multilevel models. Each chapter brings the reader up to speed on an issue by providing a valuable synthesis of the existing analytic and empirical statistical work often enhanced by sound thinking and guidance. ... Aside from providing a valuable reference for researchers and instructors, it provides a deep well of possibilities for future statistical work in this area." - Jason T. Newsom, Portland State University, USA, in The American Statistician"Perhaps the most interesting aspect of this handbook is its focus on a range of non-standard multilevel analysis topics such as structural equation modelling (SEM), item response theory (IRT), mixture models and dyadic data analysis. It is the timely inclusion of these topics ... which distinguishes this handbook from competing books. ... Overall I enjoyed this handbook and would recommend it to advanced applied researchers with a firm grounding in multilevel analysis." - George Leckie, University of Bristol, UK in Journal of the Royal Statistical Society"This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA"The Handbook … covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms’ length of my computer at all times!" - Betsy McCoach, University of Connecticut, USA"This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes." - Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field’s understanding about ... multilevel modeling ... the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource." - Ron Heck, University of Hawaii – Manoa, USA"It makes an important contribution to the field by bringing together many top experts to produce a ‘one-stop’ source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA"A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA"An excellent volume on an array of next-steps for learning in the multilevel arena. The result is a superb resource on the state-of-the-art and the cutting edge of multilevel models. Each chapter brings the reader up to speed on an issue by providing a valuable synthesis of the existing analytic and empirical statistical work often enhanced by sound thinking and guidance. ... Aside from providing a valuable reference for researchers and instructors, it provides a deep well of possibilities for future statistical work in this area." - Jason T. Newsom, Portland State University, USA, in The American Statistician"Perhaps the most interesting aspect of this handbook is its focus on a range of non-standard multilevel analysis topics such as structural equation modelling (SEM), item response theory (IRT), mixture models and dyadic data analysis. It is the timely inclusion of these topics ... which distinguishes this handbook from competing books. ... Overall I enjoyed this handbook and would recommend it to advanced applied researchers with a firm grounding in multilevel analysis." - George Leckie, University of Bristol, UK in Journal of the Royal Statistical Society"This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA"The Handbook … covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms’ length of my computer at all times!" - Betsy McCoach, University of Connecticut, USA"This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes." - Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field’s understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource." - Ron Heck, University of Hawaii – Manoa, USA"It makes an important contribution to the field by bringing together many top experts to produce a ‘one-stop’ source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA"A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USATable of ContentsPart 1. Introduction. J. Hox, J.K. Roberts, Multilevel Analysis: Where We Were and Where We Are. Part 2. Multilevel Latent Variable Modeling (LVM). B. Muthén, T. Asparouhov, Beyond Multilevel Regression Modeling: Multilevel Analysis in a General Latent Variable Framework. A. Kamata, B. Vaughn, Multilevel IRT Modeling. J. Vermunt, Mixture Models for Multilevel Data Sets. Part 3. Multilevel Models for Longitudinal Data. J. Hox, Panel Modeling: Random Coefficients and Covariance Structures. R.D. Stoel, F.G. Garre, Growth Curve Analysis using Multilevel Regression and Structural Equation Modeling. Part 4. Special Estimation Problems. D. Hedeker, R. J. Mermelstein, Multilevel Analysis of Ordinal Outcomes Related to Survival Data. E.L. Hamaker, I. Klugkist, Bayesian Estimation of Multilevel Models. H. Goldstein, Bootstrapping in Multilevel Models. S. van Buuren, Multiple Imputation of Multilevel Data. J. Kim, C.M. Swoboda, Handling Omitted Variable Bias in Multilevel Models: Model Specification Tests and Robust Estimation. J.K. Roberts, J.P. Monaco, H. Stovall, V. Foster, Explained Variance in Multilevel Models. E.L. Hamaker, P. van Hattum, R.M. Kuiper, H. Hoijtink, Model Selection Based on Information Criteria in Multilevel Modeling. M. Moerbeek, S. Teerenstra, Optimal Design in Multilevel Experiments. Part 5. Specific Statistical Issues. J. Algina, H. Swaminathan, Centering in Two-Level Nested Designs. S.N. Beretvas, Cross-Classified and Multiple Membership Models. D.A. Kenny, D.A. Kashy, Dyadic Data Analysis using Multilevel Modeling.

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Book SynopsisDesigned for social scientists working with big data sets, this book maps out the cycle of research, from epistemology and ethical questions to data collection and analysis. It introduces a unique mixed methods approach by integrating qualitative and quantitative methods. This book is also available as Open Access on Cambridge Core.Trade Review'This book offers a more than welcome clarification of the role of pragmatism as a framework for several methodological contexts. It is very important for qualitative, mixed methods, and big data research, and for the methodological foundation of psychological research. It is clearly written and very accessible for various audiences.' Uwe Flick, Freie Universität Berlin, Germany'We must congratulate the authors for this bountiful attempt to cross the divide between the quantitative and qualitative research communities. Their choice of philosophic pragmatism as the vehicle for this uniting is right on target, and their concern with ethical implications adds vital dimension to the ongoing dialogues. This is a vitally needed reflection.' Kenneth J. Gergen, Swarthmore College, USA'This remarkable book insists that social research should work on expanding human possibilities in ethical, imaginative, and responsive ways. Building on early American pragmatism, the authors argue that complex multifarious human interests can only be addressed by mixing different research methods. Their stance greatly contributes to current debates on truth, post-truth, epistemology, and useful knowledge, among other fundamental issues.' Ivana Markova, University of Stirling, UK'This book should be used in introductory research methods courses, to complement the standard texts. Students will enjoy this book, which presents a clear and elegant introduction to research methodology from a pragmatist perspective, with a leaning toward mixed methodology.' Fathali M. Moghaddam, Georgetown University, USA'Informative, insightful, and eminently practical. Gillespie, Glăveanu, and de Saint Laurent capture the spirit of pragmatist thinking, redevelop it in the context of contemporary problems, and present it to us in a way that is timely and reinvigorates social scientific inquiry.' Kieran O'Doherty, University of Guelph, CanadaTable of ContentsPreface; 1. Pragmatism; 2. Epistemology: How We Know; 3. Theory: What We Know; 4. Creating Questions; 5. Eliciting and Transforming Data; 6. Mixing Qualitative And Quantitative Methods; 7. Multi-Resolution Research; 8. Ethics; 9. Expanding Human Possibilities; References; Index.

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Book SynopsisChallenging traditional methodologies, this analysis uncovers biases in health research. Covering fundamental principles, tools, and ethics, it offers in-depth case examples. Aimed at students and professionals, it promotes critical evaluation for a nuanced understanding of evidence production.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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