Introduction to Psychological Assessment in the South African Context 5e is an introductory text on measuring and assessing human behaviour within a complex multicultural environment. It offers a practical guide to the development of culturally appropriate measures and the application of assessment measures, as well as the interpretation and reporting of results. The book provides advice with regard to assessing young children and disabled individuals and also discusses the various contexts in which psychological measures are used, including education, counselling, the psycho-legal domain, and research. The book features critical-thinking exercises that present students with typical assessment scenarios to develop their reasoning skills. Real-life South African examples and case studies illustrate the theory, and allow students to apply psychological assessment principles in practice.

ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, hands-on learning tools and real-world examples to help you go beyond memorizing formulas to truly understanding the hows and whys of statistics.

Giving extra focus to the topics students typically struggle with most, the authors take time to fully explain statistical concepts. Integrated applications reinforce concepts, offering further support to ensure that even those with a weak background in mathematics can fully grasp statistics.

The authors also illustrate how an understanding of statistical procedures will help you comprehend published findings -- ultimately leading you to become a savvy consumer of information.

Assessment is an important part of any psychologist's role and the outcome can have consequences, positive and negative, for the person being assessed. The principles and practice of psychological assessment is a guide to drawing up, administering and interpreting assessment procedures, and judging whether the techniques used are theoretically and procedurally sound. It also takes a special look at assessment from an organisational perspective, because although many of the technical and scientific issues with respect to psychological assessment are common to all areas of applied psychology, there are numerous issues and applications that are unique to the organisational context. The principles and practice of psychological assessment is more of a "how to" than a critical text, but includes some background information and in-depth theorising for more problematic issues. A glossary of terms and a unique cognitive map of psychological tests are provided. Changes in this third edition include a new chapter on the history of assessment in South Africa, and the dominant narrative in some quarters that industrial psychologists set out deliberately to ensure the failure of some segments of the workforce. The principles and practice of psychological assessment is aimed at third year and honours students of psychology and industrial psychology as well as practitioners.

WITH OVER THREE MILLION COPIES SOLD, read the Sunday Times and No.1 New York Times bestselling, record-breaking thriller that everyone is talking about - soon to be a major film. 'The perfect thriller' AJ FINN 'Terrific' - THE TIMES Crime Book of the Month 'Smart, sophisticated suspense' - LEE CHILD 'Compelling' - OBSERVER 'Absolutely brilliant' - STEPHEN FRY 'A totally original psychological mystery' - DAVID BALDACCI 'One of the best thrillers I've read this year' - CARA HUNTER 'The pace and finesse of a master' - BBC CULTURE Alicia Berenson lived a seemingly perfect life until one day six years ago. When she shot her husband in the head five times. Since then she hasn't spoken a single word. It's time to find out why. THE SILENT PATIENT is the gripping must-read thriller of the year - perfect for fans of THE FAMILY UPSTAIRS by Lisa Jewell, BLOOD ORANGE by Harriet Tyce and PLAYING NICE by JP Delaney.

Developed and adapted by the authors of this book, thematic analysis (TA) is one of the most popular qualitative data analytic techniques in psychology and the social and health sciences. Building on the success of Braun & Clarke's 2006 paper first outlining their approach - which has over 100,000 citations on Google Scholar - this book is the definitive guide to TA, covering: - Contextualisation of TA - Developing themes - Writing TA reports - Reflexive TA It addresses the common questions surrounding TA as well as developments in the field, offering a highly accessible and practical discussion of doing TA situated within a clear understanding of the wider terrain of qualitative research. Virginia Braun is a Professor in the School of Psychology at The University of Auckland, Aotearoa New Zealand. Victoria Clarke is an Associate Professor in Qualitative and Critical Psychology in the Department of Social Sciences at the University of the West of England (UWE), Bristol.

Assessment is an important part of any psychologist's role and the outcome can have consequences, positive and negative, for the person being assessed. The principles and practice of psychological assessment is a guide to drawing up, administering and interpreting assessment procedures, and judging whether the techniques used are theoretically and procedurally sound. It also takes a special look at assessment from an organisational perspective, because although many of the technical and scientific issues with respect to psychological assessment are common to all areas of applied psychology, there are numerous issues and applications that are unique to the organisational context. The principles and practice of psychological assessment is more of a "how to" than a critical text, but includes some background information and in-depth theorising for more problematic issues. A glossary of terms and a unique cognitive map of psychological tests are provided. Changes in this second edition include two new chapters, one on Assessing integrity (which previously formed part of the chapter on personality) and a new chapter on Assessment in cross-cultural contexts, where the theoretical and practical problems associated with assessing people in their non-native language are described and ways of addressing these are put forward. Throughout the text, references and examples have been updated and issues raised in recent texts have been addressed. Contents include the following: Properties of a good measuring technique; ways of categorising the observation process; techniques used in measurement; errors inherent in the assessment process; combining and interpreting results; fairness, bias and discrimination; assessing cross-culturally; designing and locating appropriate assessment centre exercises; assessing integrity. The principles and practice of psychological assessment is aimed at undergraduate and honours students of psychology and industrial psychology, as well as at practitioners.

Hierdie handboek verskaf 'n inleiding tot sielkundige en opvoedkundige meting aan die hand van Suid-Afrikaanse voorbeelde. Die bespreking van plaaslik ontwikkelde meetinstrumente is nie ensiklopedies nie, maar is eerder bedoel om die beginsels onderliggend aan meting te illustreer. Die bekendste en mees gebruikte Suid-Afrikaanse toetse word behandel. Onderwerpe van 'n meer tegniese aard word oppervlakkig gedek, en daar word aanvaar dat die leser vertroud is met die elementere begrippe uit die beskrywende statistiek.

Attractive, take-anywhere, write-in quiz book that offers a daily dose of self-discovery "Who Are You? Test Your Personality" is perfect for a handbag, briefcase, or knapsack This entertaining and enlightening quiz book is great to have on hand anytime and anywhere, be it a long commute, a waiting room, or an evening at home. "Who Are You? Test Your Personality" is a a collection of 40 tests designed to answer who you are, how you got that way, and what, if anything, you can or should do to change.Each quiz can be taken in just a few minutes and is easily scored. With a fun, modern cloth cover, elastic closure and overall great package you will want to show off this clever quiz book wherever you go Other titles in this series: "Who Are You? Test Your Emotional Intelligence""How Smart Are You? Test Your Math IQHow Smart Are You? Test Your IQ"

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

Interpretative phenomenological analysis (IPA) is a qualitative research approach committed to the examination of how people make sense of their major life experiences. This text provides a detailed guide to conducting IPA research, presenting the theoretical underpinnings of the approach, a comprehensive overview of the stages of an IPA research project, and examples of high-quality IPA studies. Extended worked examples from the authors' own studies in health, psychological distress, and identity illustrate the breadth and depth of IPA research, making this book the definitive guide to IPA for students and researchers alike. New to this edition: - A thoroughly updated chapter dedicated to analysis - An exemplary mini-study - Improved and updated terminology - A chapter discussing innovations in design, data collection, and collaboration 'It is not often I can use "accessible" and "phenomenology" in the same sentence, but reading the new book, Interpretative Phenomenological Analysis...certainly provides me the occasion to do so. I can say this because these authors provide an engaging and clear introduction to a relatively new analytical approach' - The Weekly Qualitative Report

* This self-help guide divulges new research on burnout and helps readers use it to identify and recover from burnout in themselves, loved ones, or clients. * Steadily gaining traction in visibility and severity, burnout became a global phenomenon with the COVID19 pandemic, reaching epidemic levels. * The only book of its kind, the book is extremely accessible, with new evidence-based tools and a plan for recovery based on their personal situation.

Research Design and Methods: A Process Approach takes students through the research process, from getting and developing a research idea, to designing and conducting a study, through analyzing and reporting data. The eleventh edition addresses the change in research practices to supplement or replace null hypothesis significance testing (NHST) with other analytic approaches, including Bayesian analysis. Information on the research process is presented in a lively and engaging way, highlighting the numerous decisions that must be made when designing and conducting research and emphasizing the importance of ethical conduct, both in the treatment of research subjects and in the conduct of research and reporting research results.

Constructing Measures introduces a way to understand the advantages and disadvantages of measurement instruments. It explains the ways to use such instruments, and how to apply these methods to develop new instruments or adapt old ones, based on item response modeling and construct references. Now in its second edition, this book focuses on the steps taken while constructing an instrument, and breaks down the "building blocks" that make up an instrument-the construct map, the design plan for the items, the outcome space, and the statistical measurement model. The material covers a variety of item formats, including multiple-choice, open-ended, and performance items, projects, portfolios, Likert and Guttman items, behavioral observations, and interview protocols. Each chapter includes an overview of the key concepts, related resources for further investigation, and exercises and activities. A variety of examples from the behavioral and social sciences and education-including achievement and performance testing, attitude measures, health measures, and general sociological scales-demonstrate the application of the material. Accompanying downloadable resources feature control files, output, and a data set to allow readers to compute the text's exercises and create new analyses and case archives based on the book's examples so the reader can work through the entire development of an instrument. New to this edition are additional example contexts including a cognitive/achievement example, an attitude example, and a behavioral example; new concentrations on specific measurement issues and practices such as standard-setting, computer-delivery and reporting, and going beyond the Likert response format; and updated online resource with new materials, such as selected research articles with data sets and teaching resources like a syllabus and PowerPoint slides. Constructing Measures is an invaluable text for undergraduate and graduate courses on item, test, or instrument development; measurement; item response theory; or Rasch analysis taught in a variety of departments including education, statistics, and psychology. The book also appeals to practitioners who develop instruments, including industrial/organizational, educational, and school psychologists; health outcomes researchers; program evaluators; and sociological measurers.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. The first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. The second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital-trace and textual data, as well as probability-, non-probability-, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. The first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. The second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital-trace and textual data, as well as probability-, non-probability-, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Beginning-to-end, step-by-step guidance on how to conduct multi-method psychological assessments from a leader in the field The Second Edition of Conducting Psychological Assessment: A Guide for Practitioners delivers an insightful overview of the overall integrative psychological assessment process. Rather than focus on individual tests, accomplished assessment psychologist, professor, and author A. Jordan Wright offers readers a comprehensive roadmap of how to navigate the multi-method psychological assessment process. This newest edition maintains the indispensable foundational models from the first edition and adds nuance and details from the author's last ten years of clinical and academic experience. New ways of integrating and reconciling conflicting data are discussed, as are new models of personality functioning. All readers of this book will benefit from: A primer on the overall process of psychological assessment An explanation of how to integrate the data from the administration, scoring, and interpretation phases into a fully conceptualized report Actual case examples and sample assessment cases that span the entire process Perfect for people in training programs in health service psychology, including clinical, counseling, school, and forensic programs, Conducting Psychological Assessment also belongs on the bookshelves of anyone conducting assessments of human functioning.

Test fairness is a moral imperative for both the makers and the users of tests. This book focuses on methods for detecting test items that function differently for different groups of examinees and on using this information to improve tests. Of interest to all testing and measurement specialists, it examines modern techniques used routinely to insure test fairness. Three of these relevant to the book's contents are: * detailed reviews of test items by subject matter experts and members of the major subgroups in society (gender, ethnic, and linguistic) that will be represented in the examinee population * comparisons of the predictive validity of the test done separately for each one of the major subgroups of examinees * extensive statistical analyses of the relative performance of major subgroups of examinees on individual test items.

This volume contains contributions from 24 internationally known scholars covering a broad spectrum of interests in cross-cultural theory and research. This breadth is reflected in the diversity of the topics covered in the volume, which include theoretical approaches to cross-cultural research, the dimensions of national cultures and their measurement, ecological and economic foundations of culture, cognitive, perceptual and emotional manifestations of culture, and bicultural and intercultural processes. In addition to the individual chapters, the volume contains a dialog among 14 experts in the field on a number of issues of concern in cross-cultural research, including the relation of psychological studies of culture to national development and national policies, the relationship between macro structures of a society and shared cognitions, the integration of structural and process models into a coherent theory of culture, how personal experiences and cultural traditions give rise to intra-cultural variation, whether culture can be validly measured by self-reports, the new challenges that confront cultural psychology, and whether psychology should strive to eliminate culture as an explanatory variable.

Test Scoring provides a summary of traditional true score test theory and modern item response theory related to scoring tests, as well as novel developments resulting from the integration of these approaches. The background material introduced in the first four chapters builds a foundation for the new developments covered in later chapters. These new methods offer alternative psychometric approaches to scoring complex assessments. Each of the book's contributors draws from the classic literature of traditional test theory, as well as psychometric developments of the past decade. The emphasis is on large-scale educational measurement but the topics and procedures may be applied broadly within many measurement contexts. Numerous graphs and illustrative examples based on real tests and actual data are integrated throughout. This multi-authored volume shows the reader how to combine the coded outcomes on individual test items into a numerical summary about the examinee's performance. This book is intended for researchers and students in education and other social sciences interested in educational assessment and policy, the design and development of tests, and the procedures for test administration and scoring. Prerequisites include an introduction to educational and psychological measurement and basic statistics. Knowledge of differential and integral calculus and matrix algebra is helpful but not required.

A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods. This book is accompanied by a companion website with resources for both students and lecturers.

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also helping mathematicians, statisticians, and computer scientists with no previous knowledge of the field realize the potential of the methods in archaeological experiments.