This book provides an overview of the innovative, arts-based research method of body mapping and offers a snapshot of the field. The review of body mapping projects by Boydell et al. confirms the potential research and therapeutic benefits associated with body mapping. The book describes a series of body mapping research projects that focus on populations marginalised by disability, mental health status, and other vulnerable identities. Chapters focus on summarising the current state of the art and its application with marginalised groups; analytic strategies for body mapping; highlighting body mapping as a creation and a dissemination process; emerging body mapping techniques including web-based, virtual reality, and wearable technology applications; and measuring the impact of body maps on planning, practice, and behaviour. Contributors and editors include interdisciplinary experts from the fields of psychology, sociology, anthropology, and beyond. Offering innovative ways of engaging in body mapping research, which result in real-world impact, this book is an essential resource for postgraduate students and researchers.

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

The motivation for this volume in the History and Theory of Psychology series is to look across sub-disciplines within psychology and highlight instances where researchers transcended the tendency to think about methodology along traditional lines. Contributors have located examples of researchers who built upon existing ideas to create methods true to their interests and theoretical convictions.

Emerging Methods in Psychology shows how a discipline creates new methods and carves out possibilities that not only generate data, but also advance knowledge of human psychological functioning. It concentrates on showcasing the possibilities that exist when the researcher focuses on the relationship between theory, method, and data.

The question of what kind of expertise is required is a key issue. This is particularly the case in psychology where the tradition of standardizing methods over the last century has served to stabilize research questions. Knowledge creation is deeply affective and ambiguous rather than the secure accumulation of data by a socially legitimized procedure. This innovative volume moves beyond psychology as social engineering into new varieties of social knowledge.

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive improvements based on suggestions from those using this book in the classroom Statistical procedures that have been developed and validated since the previous edition Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers) Revisions to include recent changes in the APA Style Manual When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own. This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more). Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community. Illustrates how to plan, conduct, analyze, and prepare an experimental or research report Includes new statistical procedures that have been developed and validated since the previous edition Incorporates SAS in the exercises at the end of each chapter Takes into account the changes in the APA guidebook Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption

"The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates, non-probability surveys, and internet as a data collection mode hold particular value, as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook." (Emily Berg, Iowa State University)

What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis, Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics.

Key Features:

Has been thoroughly revised to incorporate recent research and applications.

Includes a new chapter on nonprobability samples, and more than 200 new examples and exercises have been added.

Teaches the principles of sampling with examples from social sciences, public opinion research, public health, business, agriculture, and ecology.

SDA’s companion website contains data sets, computer code, and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code, annotated output, and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software.

SAS® Software Companion for Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (2022, CRC Press)

R Companion for Sampling: Design and Analysis, Third Edition by Yan Lu and Sharon L. Lohr (2022, CRC Press)

Table of Contents

1. Introduction 2. Simple Probability Samples 3. Stratified Sampling 4. Ratio and Regression Estimation 5. Cluster Sampling with Equal Probabilities 6. Sampling with Unequal Probabilities 7. Complex Surveys 8. Nonresponse 9. Variance Estimation in Complex Surveys 10. Categorical Data Analysis in Complex Surveys 11. Regression in Complex Surveys 12. Two-Phase Sampling 13. Estimating the Size of a Population 14. Rare Populations and Small Area Estimation 15. Nonprobability Samples 16. Survey Quality

Open Learning Units offer a very flexible approach to the teaching of psychology. They are designed to be more than sufficient for the purposes of A/S and A-Level psychology, and the applied emphasis will appeal to various vocational courses such as those offered by BTEC and also to mature students on Access courses.
Their primary use will be in the classroom with a tutor's guidance, but the interactive style makes them equally appropriate for the purposes of self-study. More advanced students might want to use the Units to learn at their own pace, and in all cases, the careful structure of the writing and the extensive use of Examples, Open Questions and Self-Assessment Questions make them ideal revision guides.

Practical Research with Children is designed to help the reader understand techniques for research with children, based on real world experience. The book describes a wide range of research methods, focusing equally on quantitative and qualitative approaches, and considers how different methods can be integrated. It highlights the benefits and challenges of each method and gives emphasis to best practice, with expert guidance on how to avoid potential pitfalls in order to obtain valuable insights into how children develop. The volume includes fifteen chapters arranged over three sections. Each chapter explores a particular method, or combination of methods, and discusses both theoretical and practical issues, using a diversity of domains, including different ages, cultures, populations and settings. Uniquely, the book includes newer methods (such as eye tracking and digital technologies) alongside well-established behavioural methods which are used for research with children. With contributions from internationally renowned researchers and practitioners from a range of disciplines, the book will be indispensable reading for a wide audience, including for students in psychology, education and nursing undertaking research projects with children, and also for anyone looking to understand the research behind current theories in child development.

Since the early days of performance assessment, human ratings have been subject to various forms of error and bias. Expert raters often come up with different ratings for the very same performance and it seems that assessment outcomes largely depend upon which raters happen to assign the rating. This book provides an introduction to many-facet Rasch measurement (MFRM), a psychometric approach that establishes a coherent framework for drawing reliable, valid, and fair inferences from rater-mediated assessments, thus answering the problem of fallible human ratings. Revised and updated throughout, the Second Edition includes a stronger focus on the Facets computer program, emphasizing the pivotal role that MFRM plays for validating the interpretations and uses of assessment outcomes.

Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflecting the expertise of major contributors to NDS psychology, Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data examines the techniques proven to be the most useful in the behavioral sciences. The editors have brought together constructive work on new practical examples of methods and application built on nonlinear dynamics. They cover dynamics such as attractors, bifurcations, chaos, fractals, catastrophes, self-organization, and related issues in time series analysis, stationarity, modeling and hypothesis testing, probability, and experimental design. The analytic techniques discussed include several variants of the fractal dimension, several types of entropy, phase-space and state-space diagrams, recurrence analysis, spatial fractal analysis, oscillation functions, polynomial and Marquardt nonlinear regression, Markov chains, and symbolic dynamics. The book outlines the analytic requirements faced by social scientists and how they differ from those of mathematicians and natural scientists. It includes chapters centered on theory and procedural explanations for running the analyses with pertinent examples and others that illustrate applications where a particular form of analysis is seen in the context of a research problem. This combination of approaches conveys theoretical and practical knowledge that helps you develop skill and expertise in framing hypotheses dynamically and building viable analytic models to test them.

Highlighting the progress made by researchers in using Web-based surveys for data collection, this timely volume summarizes the experiences of leading behavioral and social scientists from Europe and the US who collected data using the Internet. Some chapters present theory, methodology, design, and implementation, while others focus on best practice examples and/or issues such as data quality and understanding paradata. A number of contributors applied innovative Web-based research methods to the LISS panel of CentERdata collected from over 5,000 Dutch households. Their findings are presented in the book. Some of the data is available on the book website. The book addresses practical issues such as data quality, how to reach difficult target groups, how to design a survey to maximize response, and ethical issues that need to be considered. Innovative applications such as the use of biomarkers and eye-tracking techniques are also explored. Part 1 provides an overview of Internet survey research including its methodologies, strengths, challenges, and best practices. Innovative ways to minimize sources of error are provided along with a review of mixed-mode designs, how to design a scientifically sound longitudinal panel and avoid sampling problems, and address ethical requirements in Web surveys. Part 2 focuses on advanced applications including the impact of visual design on the interpretability of survey questions, the impact survey usability has on respondents' answers, design features that increase interaction, and how Internet surveys can be effectively used to study sensitive issues. Part 3 addresses data quality, sample selection, measurement and non-response error, and new applications for collecting online data. The issue of underrepresentation of certain groups in Internet research and the measures most effective at reducing it are also addressed. The book concludes with a discussion of the importance of paradata and the Web data collection process in general, followed by chapters with innovative experiments using eye-tracking techniques and biomarker data. This practical book appeals to practitioners from market survey research institutes and researchers in disciplines such as psychology, education, sociology, political science, health studies, marketing, economics, and business who use the Internet for data collection, but is also an ideal supplement for graduate and/or upper level undergraduate courses on (Internet) research methods and/or data collection taught in these fields.

Foundations of Psychological Testing: A Practical Approach by Leslie A. Miller and Robert L. Lovler presents a clear introduction to the basics of psychological testing as well as psychometrics and statistics. Aligned with the 2014 Standards for Educational and Psychological Testing, this practical book includes discussion of foundational concepts and issues using real-life examples and situations that students will easily recognize, relate to, and find interesting. A variety of pedagogical tools furthers the conceptual understanding needed for effective use of tests and test scores. The Sixth Edition includes updated references and examples, new In Greater Depth boxes for deeper coverage of complex topics, and a streamlined organization for enhanced readability.

This textbook offers a refreshingly clear and digestible introduction to statistical analysis for psychology using the user-friendly jamovi software. The authors provide a concise, practical guide that takes students from the early stages of research design, with a jargon-free explanation of terminology, and walks them through key analyses such as the t-test, ANOVA, correlation, chi-square, and linear regression. The book features written interpretations to help learners identify relevant statistics along the way. With fascinating examples from psychological research, as well as screenshots and activities from jamovi, this text is sure to encourage even the most reluctant statistics student. The comprehensive companion website provides an extra helping hand, with practice datasets and a full suite of tutorial videos to help consolidate understanding. This is essential reading for psychology students using jamovi for their courses in Research Methods and Statistics or Data Analysis.

This is a book about communication behavior: how we conceptualize it, observe it, measure it, and analyze it. The 1970s and 1980s were times when communication behavior was a primary interest of many communication scholars. The aim of this book is to reignite some interest in and passion about how human communication behavior should be studied. It presents the best advice, techniques, cautions, and controversies from the 1970s and 1980s and then updates them. Several chapters also introduce statistical methods and procedures to allow readers to analyze behavioral data. This book is a useful resource for communication scholars and graduate students to guide their study of communication behavior.

In treatment, the psychotherapist is in a position of power. Often, this power is unintentionally abused. While trying to embody a compassionate concern for patients, therapists use accepted techniques that can inadvertently lead to control, indoctrination, and therapeutic failure. Contrary to the stated tradition and values of psychotherapy, they subtly coerce patients rather than respect and genuinely help them. The more gross kinds of patient abuse, deliberate ones such as sexual and financial exploitation, are expressly forbidden by professional organizations. However, there are no regulations discouraging the more covert forms of manipulation, which are not even considered exploitative by many clinicians. In this book, noted psychiatrist Theo. L. Dorpat strongly disagrees. Using a contemporary interactional perspective Dorpat demonstrates the destructive potential of manipulation and indoctrination in treatment. This book is divided into three parts. Part I explores the various ways power can be abused. Part II examines eleven treatment cases in which covert manipulation and control either caused analytic failure or severely impaired the treatment process. Cases discussed include the analyses of Dora and the Wolf Man by Freud, the two analyses of Mr. Z by Kohut, as well as other published and unpublished treatments. An interactional perspective is used to examine the harmful short- and long-term effects of using indoctrination methods as well as to unravel conscious and unconscious communications between therapists and patients that can contribute to manipulations. Part III shows readers how to work using a non-directive, egalitarian approach in both psychoanalytic psychotherapy and psychoanalysis.

This book explores how discursive psychology (DP) research can be applied to disability and the everyday and institutional constructions of bodymind differences. Bringing together both theoretical and empirical work, it illustrates how DP might be leveraged to make visible nuanced understandings of disability and difference writ large. The authors argue that DP can attend to how such realities are made relevant, dealt with, and negotiated within social practices in the study of disability. They contend that DP can be used to unearth the nuanced and frequently taken for granted ways in which disability is made real in both everyday and institutional talk, and can highlight the very ways in which differences are embodied in social practices - specifically at the level of talk and text. This book demonstrates that rather than simply staying at the level of theory, DP scholars can make visible the actual means by which disabilities and differences more broadly are made real, resisted, contested, and negotiated in everyday social actions. This book aims to expand conceptions of disability and to deepen the - at present, primarily theoretical - critiques of medicalization.

Leading therapists and researchers have come to understand that many psychological disorders share common features and respond to common therapeutic treatments. This deepened understanding of the nature of psychological disorders, their causes, and their symptoms has led to the development of new, comprehensive treatment programs that are effective for whole classes of disorders. Unified Protocol for Transdiagnostic Treatment of Emotional Disorders is one such program. Designed for individuals suffering from emotional disorders, including panic disorder, social anxiety disorder, generalized anxiety disorder, posttraumatic stress disorder, obsessive compulsive disorder, and depression, this program focuses on helping you to better understand your emotions and identify what you're doing in your responses to them that may be making things worse. Throughout the course of treatment you will learn different strategies and techniques for managing your emotional experiences and the symptoms of your disorder. You will learn how to monitor your feelings, thoughts, and behaviors; confront uncomfortable emotions; and learn more effective ways of coping with your experiences. By proactively practicing the skills presented in this book-and completing the exercises, homework assignments and self-assessment quizzes provided in each chapter, you will address your problems in a comprehensive and effective way so you can regulate your emotional experiences and return to living a happy and functional life.

Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In addition to describing how the functional relation concept may be generalized to treat probabilistic causation, the book reviews historical treatments of causation and explores recent developments in experimental psychology on studies of the perception of causation. It looks at how to perceive causal relations directly by perceiving quantities in magnitudes and motions of causes that are conserved in the effects of causal exchanges.

The author surveys the basic concepts of graph theory useful in the formulation of structural models. Focusing on SEM, he shows how to write a set of structural equations corresponding to the path diagram, describes two ways of computing variances and covariances of variables in a structural equation model, and introduces matrix equations for the general structural equation model. The text then discusses the problem of identifying a model, parameter estimation, issues involved in designing structural equation models, the application of confirmatory factor analysis, equivalent models, the use of instrumental variables to resolve issues of causal direction and mediated causation, longitudinal modeling, and nonrecursive models with loops. It also evaluates models on several dimensions and examines the polychoric and polyserial correlation coefficients and their derivation.

Covering the fundamentals of algebra and the history of causality, this book provides a solid understanding of causation, linear causal modeling, and SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models.

A collection of illustrative adolescent case studies to aid clinicians in problem identification, diagnosis, and treatment planning-the only casebook for the MMPI-A-RF The MMPI-A-RF is linked to current models of psychopathology and personality, and features scales relevant for use with adolescents in a variety of clinical, forensic, and school settings. It mirrors the structure of the MMPI-2-RF, resulting in the most up-to-date, empirically based personality assessment for use with adolescents. Written by the authors of the earlier Case Studies for Interpreting the MMPI-A, this book continues the goal of serving as an authentic and illustrative guide for clinicians in understanding and using the MMPI-A-RF. Since the publication of the original Case Studies, much has changed for clinicians who assess and treat adolescents. The interpretive model described in this book demonstrates how the MMPI-A-RF can assist clinicians in assessing youth today by highlighting sixteen cases that broadly represent adolescents evaluated in clinical and forensic practice. In addition, one of the most common uses for the MMPI-A-RF is in the juvenile court setting-a landscape that has also dramatically changed since the publication of the original MMPI-A. Case Studies for Interpreting the MMPI-A-RF focuses on detailed forensic issues, including legal backgrounds, case law, and assessment methods specific to use of the MMPI-A-RF in juvenile court and related settings. Case Studies for Interpreting the MMPI-A-RF will assist clinicians in understanding MMPI-A-RF interpretation, while also being a valuable teaching tool for courses in assessment.

Methodological Problems with the Academic Sources of Popular Psychology: Context, Inference, and Measurement examines the relationship between academic and popular psychology from a critical perspective with a focus on issues of methodology. The monograph traces the path from ideas in reputable popular psychology back to the original academic research tradition from which the claims were generated. It also addresses the conceptual and methodological controversies with respect to the original research typically ignored or played down in popular writing. This book covers a range of topics including the question of universal biases in judgment, resurgent notions of "fast" thinking and a cognitive unconscious, the psychology of happiness and other "positive" psychologies, the effects of parenting on child outcomes, and more general issues related to psychological tests and measures. The methodological problems that emerge include problems with generalizing from specific experimental conditions, highly biased sampling, lack of replication of findings, lack of shared referents across subfields, even different authors, as well as confusion around basic statistical and mathematical issues. Methodological Problems with the Academic Sources of Popular Psychology: Context, Inference, and Measurement reviews these issues extensively, offering both a sense of the history and pervasiveness of these issues in the field itself and an opportunity to review and master these difficult ideas.

Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the PAI

The Personality Assessment Inventory (PAI) provides critical information for psychologists about a client’s psychopathology and constructs for effective treatment. To use this test properly, professionals need an authoritative source of advice and guidance on how to administer, score, and interpret the test. Written by the developer and foremost authority on the PAI, Essentials of PAI Assessment is that source.

Like all the volumes in the Essentials of Psychological Assessment series, this book is designed to help busy mental health professionals quickly acquire the knowledge and skills they need to make optimal use of major psychological assessment instruments. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you gauge and reinforce your grasp of the information covered.

Essentials of PAI Assessment is the only concise book of its kind to provide state-of-the-art interpretive and administrative guidelines to using this popular self-administered personality test.

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiar with statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.

This book is concerned, in particular, with the research which is undertaken by healthcare practitioners and the evidence which they generate as a result of investigating their practice. In so doing it recognizes that, as well as working in academic life, practitioner researchers are often working as practitioners outside the Academy. It argues that the work of practitioner researchers has a signifi cant contribution to make to healthcare research and so needs to be disseminated further in order to create balanced research communities within the healthcare professions.It takes the view that the work of practitioner researchers has a contribution to make to the work of all people involved in healthcare helping academic researchers to broaden the limited ontological and epistemological perspectives of their research. It can also encourage healthcare practitioners who have not been trained academically to develop their research skills and to realize that they are actually researching into their practice on a day-to-day basis. Finally, it can provide a degree of transparency about therapeutic processes to help clients and patients to see aspects of professional practice and development which are usually hidden from them.The contributors cover a range of themes which address the above issues, such as the limitations of academic life and conventional medical models, ethics, the importance of imaginative writing and the use of story, metaphor, myth and the importance of personal transformation in the professional development of healthcare workers and the relevance of belief and spirituality to healthcare research.

Elite sport can be an unforgiving and harsh environment. This book explores psychological predictors of wellbeing and performance excellence in elite level athletes, and presents an innovative approach for optimizing mental wellbeing and sporting performance. Jointly developed by performance psychologists, clinical psychologists and sport scientists the Flexible Mind approach draws on contemporary psychological theory and research to help athletes build 'psychological flexibility' - the ability to experience challenging thoughts and emotions and still be true to one's values. A range of case studies relating to different sports are used to demonstrate how three core components - Being Present, Being Open and Doing What Matters - can improve athletes' performance and wellbeing. This book will be a game-changing resource for sports psychologists, mental health practitioners, coaches and support staff who are committed to helping athletes to excel and stay well.

This book examines key ideas related to the Theory of Subjectivity within a cultural-historical approach. It brings together the intellectual contributions made by Professor Fernando Gonzalez Rey (1949-2019) towards understanding human subjectivity, and emphasizing their unfolding in different fields and contexts. The book addresses the genesis and development of Gonzalez Rey's work, articulating this discussion with the author's biography. Gonzalez Rey's main scientific contribution is the Theory of Subjectivity in a cultural-historical perspective, which is inseparable from Qualitative Epistemology and from its constructive-interpretive methodological expression. The book presents and discusses Gonzalez Rey's contributions to different contexts and fields, such as psychological research, education, cultural-historical psychology, human development, motivation, human health and psychotherapy. This book brings together examples of how these ideas have been employed and developed in different fields and contexts.

Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the KABC-II

Now designed for children aged three to eighteen, the KABC-II is among the top tier of children's tests of cognitive ability. Alan and Nadeen Kaufman, authors of the KABC-II, joined forces with Elizabeth Lichtenberger and Elaine Fletcher-Janzen to produce Essentials of KABC-II Assessment.

The best source of information on the new edition of the K-ABC, Essentials of KABC-II Assessment provides students and practitioners with an unparalleled resource for learning and application, including expert assessment of the test's relative strengths and weaknesses, valuable advice on its clinical applications, and illuminating case reports.

Like all the volumes in the Essentials of Psychological Assessment series, this book is designed to help busy mental health professionals quickly acquire the knowledge and skills they need to make optimal use of a major psychological assessment instrument. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you gauge and reinforce your grasp of the information covered.