Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today. An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.

First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

Referral and Termination Issues for Counselors guides trainee and practicing counselors through the practical issues surrounding the referral of clients, a procedure that may be necessary at any time during the counseling process. Stressing ethical issues and the need to be aware of competency limits, Anne Leigh provides clear and straightforward guidelines. The sensitive, ethical handling of termination is also an important part of this book, backed up by clear examples and the recognition of the emotional consequences of referral or termination for both counselor and client. She examines the situations most frequently calling for referral and the ways in which referral may take place responsibly and satisfactorily. This volume covers whether, how, to whom, and when to refer on, as well as how best to receive referrals from outside agencies.

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. "

Written for non-mathematically-oriented readers, this text features:

• "
• A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
• An emphasis on how the terminology, interpretation, and estimation" "of familiar general linear models relates to those of more complex models for longitudinal data
• Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process
• Sample results sections for each example to provide useful templates for published reports
• Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M"plus" at www.PilesOfVariance.com to help readers apply the models to their own data

The book opens with the building blocks of longitudinal analysis general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces "unconditional "longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. "Conditional "longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text."

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

Devising tests that evaluate a nation's educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. Computerized Multistage Testing: Theory and Applications covers the methodologies, underlying technology, and implementation aspects of this type of test design. The book discusses current scientific perspectives and practical considerations for each step involved in setting up an MST program. It covers the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, test security, and existing software. It also explores current research, existing operational programs, and innovative future assessments using MST. Intended for psychologists, social scientists, and educational measurement scientists, this volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions. Winner of the 2016 AERA Award for Significant Contribution to Educational Measurement and Research Methodology The 2016 American Education Research Association (AERA) Div. D award committee for Significant Contributions to Educational Measurement and Research Methodology has recognized unanimously this collaborative work advancing the theory and applications of computerized MST. This annual award recognizes published research judged to represent a significant conceptual advancement in the theory and practice of educational measurement and/or educational research methodology. The 2016 award was made under the heading: Measurement, Psychometrics, and Assessment. This collective work, published in 2014 as an edited volume titled Computerized Multistage Testing: Theory and Applications, was cited by the committee both for the originality of the conceptual foundations presented in support of multistage testing and for arguing persuasively for its potential impact on the practice of educational measurement.

This edited volume offers useful resources for researchers conducting fieldwork in various global conflict contexts, bringing together a range of international voices to relay important methodological challenges and opportunities from their experiences. The book provides an extensive account of how people do conflict research in difficult contexts, critically evaluating what it means to do research in the field and what the role of the researcher is in that context. Among the topics discussed: Conceptualizing the interpreter in field interviews in post-conflict settings Data collection with indigenous people Challenges to implementation of social psychological interventions Researching children and young people's identity and social attitudes Insider and outsider dynamics when doing research in difficult contexts Working with practitioners and local organizations Researching Peace, Conflict, and Power in the Field is a valuable guide for students and scholars interested in conflict research, social psychologists, and peace psychologists engaged in conflict-related fieldwork.

The first edition of Personality Assessment provided an overview of the most popular self-report and performance-based personality assessment instruments. The chapter authors were key members in creating or developing the research base for the eight test instruments covered in the book. The text was geared with graduate-level clinical, school, and counseling psychology courses in mind. While still retaining all the attractive features of the first edition, this revision will reflect the advances in the field since 2008. Chapter contributors updated and expanded on reliability and validity data, clinical utility, multicultural considerations, and implications for therapeutic assessment. Another distinctive feature of this second edition is a companion website that features ancillary materials such as PowerPoints and test banks.

First Published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.

A volume in Advances in Cultural Psychology Series Editor: Jaan Valsiner, Clark University This book brings to cultural psychology the focus on phenomenology of everyday life. Whether it is in the context of education, work, or exploration of life environments, the chapters in this book converge on the need to give attention to complex realities of everyday living. Thus, a description of pre-school organization in Japan would be in its form very different from school organization in Britain or Colombia-yet the realities of human beings acting in social roles are continuous around the world.

Crafting Scholarship helps readers improve their writing and publishing success in academia. Framed within the context of the editorial and peer review process, the book explores writing, editing, and reviewing in academic publishing. As such it provides unique coverage of how successful writers work, how they manage criticism, and more. Examples from successful scholars provide helpful tips in writing articles, grants, books, book chapters, and reviews. Each chapter features tools that facilitate learning including "Best Practices" and "Writer s Resource" boxes to help maximize success, discussion questions and case studies to stimulate critical thinking, and recommended readings to encourage self exploration. A Facebook page provides an opportunity for readers to post writing updates and for instructors to share materials.

"

Highlights include: "

-Insights on working with journal boards, reviewers, and contributors drawn from the author s 30 years of experience in editing journal articles and writing books.

-Describes writing quantitative and qualitative reports, theory and literature reviews, books and chapters, grants, and book reviews.

-Identifies common problems academics face in writing and publishing along with practical solutions.

-Explores best practices in writing peer reviews, responding to reviewers and editors, and how to calculate and interpret acceptance rates and impact factors.

-Addresses how to write each section of a journal article and select keywords that facilitate digital search engines to help potential readers find an article.

-Includes examples of published work and tips on writing research syntheses using meta-analytic techniques or narrative analyses.

-Examines the practices of successful writers, the pros and cons of collaborations, what publishers look for, and managing criticism.

-Reviews pertinent empirical literature on the core topics of writing, reviewing, and editing.

Intended for graduate or advanced undergraduate courses in professional development, writing in an academic field, or research methods taught in psychology, education, human development and family studies, sociology, communication, and other social sciences, this practical guide also appeals to those interested in pursuing an academic career and new and seasoned researchers. "

Crafting Scholarship helps readers improve their writing and publishing success in academia. Framed within the context of the editorial and peer review process, the book explores writing, editing, and reviewing in academic publishing. As such it provides unique coverage of how successful writers work, how they manage criticism, and more. Examples from successful scholars provide helpful tips in writing articles, grants, books, book chapters, and reviews. Each chapter features tools that facilitate learning including "Best Practices" and "Writer s Resource" boxes to help maximize success, discussion questions and case studies to stimulate critical thinking, and recommended readings to encourage self exploration. A Facebook page provides an opportunity for readers to post writing updates and for instructors to share materials.

"

Highlights include: "

-Insights on working with journal boards, reviewers, and contributors drawn from the author s 30 years of experience in editing journal articles and writing books.

-Describes writing quantitative and qualitative reports, theory and literature reviews, books and chapters, grants, and book reviews.

-Identifies common problems academics face in writing and publishing along with practical solutions.

-Explores best practices in writing peer reviews, responding to reviewers and editors, and how to calculate and interpret acceptance rates and impact factors.

-Addresses how to write each section of a journal article and select keywords that facilitate digital search engines to help potential readers find an article.

-Includes examples of published work and tips on writing research syntheses using meta-analytic techniques or narrative analyses.

-Examines the practices of successful writers, the pros and cons of collaborations, what publishers look for, and managing criticism.

-Reviews pertinent empirical literature on the core topics of writing, reviewing, and editing.

Intended for graduate or advanced undergraduate courses in professional development, writing in an academic field, or research methods taught in psychology, education, human development and family studies, sociology, communication, and other social sciences, this practical guide also appeals to those interested in pursuing an academic career and new and seasoned researchers. "

First published in 1985, Ethical Issues in Psychosurgery examines the continuing debate surrounding the treatment of psychiatric disorder by psychosurgery and its ethical implications. Psychosurgery represents a radical treatment and it therefore raises, in a particularly acute and challenging fashion, questions which are implicit In most therapy. The book offers a focussed study in bioethics, a model for bioethical inquiry, as well as introduction to some of the major problems in bioethics. These range from detailed discussions of informed consent, the sanctity of the brain, and the use of experimental therapies, to wider questions of social contract and professionalization. John Kleinig's balanced and informed treatment of the questions will make this book invaluable not only to those concerned with the philosophy of legal and medical ethics, but also to those in the fields of psychiatric practice and research.

Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people's preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R functions and packages as well as those prepared by the authors. It focuses on core SP methods, including contingent valuation (CV), discrete choice experiments (DCEs), and best-worst scaling (BWS). Several example data sets illustrate empirical applications of each method with R. Examples of CV draw on data from well-known environmental valuation studies, such as the Exxon Valdez oil spill in Alaska. To explain DCEs, the authors use synthetic data sets related to food marketing and environmental valuation. The examples illustrating BWS address valuing agro-environmental and food issues. All the example data sets and code are available on the authors' website, CRAN, and R-Forge, allowing readers to easily reproduce working examples. Although the examples focus on agricultural and environmental economics, they provide beginners with a good foundation to apply SP methods in other fields. Statisticians, empirical researchers, and advanced students can use the book to conduct applied research of SP methods in economics and market research. The book is also suitable as a primary text or supplemental reading in an introductory-level, hands-on course.

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.

Originally published in 1979, this title represents a summary of 17 years of research centring around the "Sensation Seeking Scale" (SSS) and the theory from which the test was derived. Now an integral part of personality testing, including adaptations for use with children, this reissue is a chance to see where it all began.

In this volume academic and researchers from across disciplines including education, psychology and health studies come together to discuss personal, political and professional narratives of struggle, resilience and hope. Contributors draw from a rich body of auto-biographical research examining the role of narrative and how it can be constructed, considering the roles of significant others, inspirational, educational and fiction characters, as well as myth and legend, to compose a life story. The book discusses how personal narrative, often neglected in social and psychological enquiry, can be a valuable resource across a range of settings. Reference is made to the evolving role of narrative in studies of educational process, in health and other forms of professional practice, and in psychotherapy. The book also includes examples that go beyond words, demonstrating other ways of representing lives through research, using art, fiction and poetry. Rather than providing a 'how to' guide, this book illustrates the range of work possible using narrative.Each chapter outlines a specific study, describes the context, explains the methodology and illuminates important findings with examples from the research. Further implication for research and practice are also discussed making this book important reading for postgraduate and doctoral students, those teaching research methods, as well as academics and researchers developing biographical and auto/biographical narrative research. The text will appeal to those from a range of disciplines including education, health and social care, counselling and psychotherapy.

A volume in Advances in Cultural Psychology Series Editor: Jaan Valsiner, Clark University This book brings to cultural psychology the focus on phenomenology of everyday life. Whether it is in the context of education, work, or exploration of life environments, the chapters in this book converge on the need to give attention to complex realities of everyday living. Thus, a description of pre-school organization in Japan would be in its form very different from school organization in Britain or Colombia-yet the realities of human beings acting in social roles are continuous around the world.

Originally published in 1987, this book presents papers from the First Conference of European Clinical Psychologists, held at the University of Kent Canterbury in July of that year. It shows some of the most exciting and recent developments in research and innovations in professional practice from many European countries with an overall theme of the WHO strategy of Health for all by the year 2000. The whole range of clinical psychology is covered, including: cognitive therapy, clinical psychology and WHO strategy, the mental health of ethnic minority groups, health psychology, care in the community, and many other topics. The book is likely to be of interest for anyone concerned with the recent history and policies in clinical psychology."

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Beginning and well-seasoned researchers alike face significant challenges in understanding the complexities of research designs arising from both within and across methodological paradigms, and in applying them in ways that maximise impact on knowledge, practice, and policy. This volume engages educational and social researchers in a scholarly debate offering some crucial re-interpretations of established research methodologies in light of contemporary conditions and critical introduction to some contemporary research approaches yet to gain general recognition. This book is a contemporary vademecum for researchers, practitioners and graduate students on research methodologies and designs for educational and social change in today's world. The chapters chart and analyse the conceptual and practical complexities of a variety research designs for contemporary educational and social work research. This anthology, taken overall, provides readers with the knowledge and understanding needed not only to design technically sound and coherent research studies, but also to develop methodologically innovative research projects that cross the boundaries between different methodological traditions to the benefit of scholarship, policy, and practice. The chapters cover nine research approaches: - Design-based research - Action research - Ethnomethodological research - Negotiated ethnography - Arts-informed research - Historical analysis and postcolonial scholarship - Policy analysis - Comparative research - Quantitative modelling of correlational and multi-level data The book provides a critical discussion of epistemological questions and methodological frontiers: - Knowledge and epistemology in scholarship, practice and policy - Digital knowledge and digital research - Emerging methodological challenges for educational research - Challenges and futures for social work and social policy research methods - Methodology and the knowledge industry

Volume I is the first of two volumes that document the three components of the CHILDES Project. It is divided into two parts which provide an introduction to the use of computational tools for studying language learning. The first part is the CHAT manual, which describes the conventions and principles of CHAT transcription and recommends specific methods for data collection and digitization. The second part is the CLAN manual, which describes the uses of the editor, sonic CHAT, and the various analytic commands. The book will be useful for both novice and experienced users of the CHILDES tools, as well as instructors and students working with transcripts of child language. Volume II describes in detail all of the corpora included in the CHILDES database. The conversational interactions in the corpora come from monolingual children and their caregivers and siblings, as well as bilingual children, older school-aged children, adult second-language learners, children with various types of language disabilities, and aphasic recovering from language loss. The database includes transcripts in 26 different languages.The CD-ROM that accompanies these volumes includes the transcript files described in Volume II. It runs on both Windows and Macintosh platforms. For more information or updates to the files, visit the CHILDES website at http: //childes.psy.cmu.ed

The goal of the chapters in this SIOP Organizational Frontiers Series volume is to challenge researchers to break away from the rote application of traditional methodologies and to capitalize upon the wealth of data collection and analytic strategies available to them. In that spirit, many of the chapters in this book deal with methodologies that encourage organizational scientists to re-conceptualize phenomena of interest (e.g., experience sampling, catastrophe modeling), employ novel data collection strategies (e.g., data mining, Petri nets), and/or apply sophisticated analytic techniques (e.g., latent class analysis). The editors believe that these chapters provide compelling solutions for the complex problems faced by organizational researchers.

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM's SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.

This is the first book of its kind to include the personal accounts of people who have survived injury to the brain, along with professional therapists' reports of their progress through rehabilitation. The paintings and stories of survivors combine with experts' discussions of the theory and practice of brain injury rehabilitation to illustrate the ups and downs that survivors encounter in their journey from pre-injury status to insult and post-injury rehabilitation. Wilson, Winegardner and Ashworth's focus on the survivors' perspective shows how rehabilitation is an interactive process between people with brain injury, health care staff, and others, and gives the survivors the chance to tell their own stories of life before their injury, the nature of the insult, their early treatment, and subsequent rehabilitation. Presenting practical approaches to help survivors of brain injury achieve functionally relevant and meaningful goals, Life After Brain Injury: Survivors' Stories will help all those working in rehabilitation understand the principles involved in holistic brain injury rehabilitation and how these principles, combined with theory and models, translate into clinical practice. This book will be of great interest to anyone who wishes to extend their knowledge of the latest theories and practices involved in making life more manageable for people who have suffered damage to the brain. Life After Brain Injury: Survivors' Stories will also be essential for clinical psychologists, neuropsychologists, and anybody dealing with acquired brain injury whether they be a survivor of a brain injury themselves, a relative, a friend or a carer.