This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, "The Handbook of Research and Quantitative Methods In Psychology" presents:
* experimental procedures,
* research designs,
* statistical methods,
* information theory,
* psychophysics,
* behavioral terminology,
* scaling and testing.

*Comprehensive, accessible text, updated: 40% new material includes a new chapter on multilevel IRT models, new material on loglinear models, and more. *Shows how to apply IRT by using common datasets across chapters. *Companion website provides datasets, software links, and additional resources. *Works through the examples using both free and commercially available software programs. *Of particular interest in the U.S., the U.K., Scandinavia, the Netherlands, Germany, China, and Korea.

This groundbreaking edited book, The Routledge Handbook for Advancing Integration in Mixed Methods Research, presents an array of different integration ideas, with contributions from scholars across the globe. This handbook represents the first major volume that comprehensively discusses this topic of integration. Perhaps the most fundamental and longstanding question in mixed methods research is: How does one best integrate disparate forms of information to produce the best form of inquiry? Each of the 34 seminal chapters in this handbook accelerates the discussion of integration across a broad range of disciplines, including education, arts-based analyses, and work in the Global South, as well as special topics such as psychometrics and media research. Many of the chapters present new topics that have never been written about before, and all chapters offer cutting-edge approaches to integration. They also offer different perspectives of integration - leading the introductory chapter to offer a new and comprehensive definition for integration, as follows: "referring to the optimal mixing, combining, blending, amalgamating, incorporating, joining, linking, merging, consolidating, or unifying of research approaches, methodologies, philosophies, methods, techniques, concepts, language, modes, disciplines, fields, and/or teams within a single study." The concluding chapter offers a meta-framework that accounts for this definition and is designed to help scholars think more about integration in a way that represents a continuous, dynamic, iterative, interactive, synergistic, and holistic meaning-making process. This handbook will be an essential reference work for all scholars and practitioners using or seeking to use mixed methods in their research.

Killer Data examines the phenomenon of serial murder using data collected from international sources to review offender patterning with a focus on contemporary cases. This type of attention will allow for a broader understanding of modern-day serial murderers and will help to dispel some of the myths that surround offenders.

　The current serial murder classification scheme incorrectly types serial murderers as supremely intelligent killing machines while discounting their socialization, experiences, and choices. This book exposes serial murderers as run-of-the-mill hometown losers, who brutalize women, and are lucky to escape apprehension. Like other atypical homicide offenders, modern-day serial murderers are propelled forward by a deep sense of entitlement, easy access to firearms, and a nonchalant attitude toward using murder to attain their goals. Readers should come away with a deeper understanding not of the ultra-rare or the "deadliest" serial murderers but of the more common offenders who pose a consistent threat to day-to-day life. The book utilizes the Consolidated Serial Homicide Offender Database, one of the largest and most robust open access databases of multiple murders available, presenting new thinking on areas such as:

myths and stereotypes

the impact of entertainment on the perception of serial murder

inaccurate prevalence estimates

spree/serial hybrid offenders

the classification of two and three victim serial murderers

how serial murderers pursue longevity

the characteristics of aspiring serial murderers

whether hit men and gang members are serial murderers

if and why serial murder is in a state of decline

how many serial murderers are responsible for the homicides that sent innocent people to prison

luck as a factor of “success” for serial murderers.

These findings are illustrated with 200 narrative vignettes of serial murder series that occurred between 2011 and 2021, such as Itzcoatl Ocampo, Charles Severance, Nikko Jenkins, and Pamela Hupp, offenders who may be unfamiliar to many but represent the next iteration of the serial murderer.

　Correcting decades of flawed assumptions about serial murderers, and written in an accessible and concise style, Killer Data is essential reading for students and scholars of criminal justice and criminology, law enforcement professionals, and the interested general reader.

Table of Contents

List of Tables

List of Figures

Foreword

Preface

Acknowledgments

1: Serial Murder: Then and Now

Introduction

2: What Do We Know About Serial Murder and How Do We Know It?

3: Serial Murder: 2011 – 2021

4: An Overview of the Modern Serial Murderer

5: Concluding Thoughts

Index/

Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results. This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.

This book examines the principles and practice of authentic assessment. It seeks to answer the following questions. What is authentic assessment? How is authentic assessment different from 'performance assessment' or 'alternative assessment'? How can authentic assessment support learner-centred education, especially when a performance-oriented culture favours pen-and-paper examinations? The book is structured into two major parts. The first, 'Principles of authentic assessment design', provides readers with a conceptual explanation of authenticity; the principles for designing quality authentic assessments for valid evidence of student learning; and guidance about how to develop quality rubrics to structure assessment tasks. The second part of the book, 'Theory into practice' provides examples developed by teachers to demonstrate an understanding of authentic assessment. The subject areas covered include humanities, languages, mathematics, sciences, character and citizenship. Two case studies are discussed to demonstrate how authentic assessment can be used to comprehensively address key learning objectives in a variety of curriculum contexts. This book provides practitioners with concrete examples on how to develop authentic assessment to suit their context and also enhance their students' learning. The book will also enable teachers to face assessment challenges present in our changing world. Chapter 1 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com

Neuropsychology for Occupational Therapists is a bestselling, comprehensive guide to the assessment and rehabilitation of impaired cognitive function and brain damage. Divided into two parts, the first introduces the fundamental role cognition has in occupational performance, before moving on to examine the theoretical frameworks behind cognitive rehabilitation. The second part covers the key components of each cognitive function, including attention, visual perception, movement, memory, and executive functions, and the disorders associated with them. Revised throughout, this invaluable new edition includes: * Updated theory and evidence base of neuropsychology * Frameworks and guidelines for assessment and intervention in practice * Updated content on attention, memory and executive functions * A new chapter on cognitive function in later years, and working with people to maintain cognitive health. Written in a clear and engaging style by an experienced author team of academic occupational therapists, with contributions from expert practising clinicians, it is full of a range of learning features, including case studies, summaries, and reflective activities, as well as for the first time narratives of the lived experience of cognitive impairment. Neuropsychology for Occupational Therapists is essential reading for students, newly qualified practitioners, and all those who work within neuropsychology and cognitive rehabilitation.

It is universally accepted that sensitive and responsive caregiving leads to positive cognitive and socio-emotional outcomes for children. While several intervention approaches exist, this text brings together the rationale and current evidence base for one such approach-the Mediational Intervention for Sensitizing Caregivers (MISC). MISC integrates aspects of socio-emotional health and cognitive development as well as being less culturally intrusive than existing approaches. It is a strengths-based program complementing existing practices and cultures. Editors bring together in one volume the theory and research from the last decade supporting the MISC approach. Chapters focus on a range of topics, such as training the trainer, maternal depression and MISC, applying MISC to families reunited after migration-related separation and more. The book also focuses on several country-specific cases, such as applying MISC to HIV/AIDS-affected children in South Africa or in early childhood care settings in Israel. This book is essential reading for those working in early educational or clinical settings tasked with developing policy to ensure optimal child developmental outcomes. The book is applicable to professionals from a wide variety of disciplines including clinical, counselling, educational, psychology, psychiatry, paediatrics, nursing, social work and public health.

An Introduction to Psychometrics and Psychological Assessment is the successor to Cooper’s prize-winning book Psychological Testing: Theory and Practice. This expanded and updated volume shows how psychological questionnaires and tests can be chosen, administered, scored, interpreted and developed. In providing students, researchers, test users, test developers and practitioners in the social sciences, education and health with an evaluative guide to choosing, using, interpreting and developing tests, it provides readers a thorough grasp of the principles (and limitations) of testing, together with the necessary methodological detail.

This book has three distinctive features. First, it stresses the basic logic of psychological assessment without getting bogged down with mathematics; the spreadsheet simulations and utilities which are integrated into the text allow users to explore how numbers behave, rather than reading equations. Readers will "learn by doing". Second, it covers both the theory behind psychological assessment and the practicalities of locating, designing and using tests and interpreting their scores. Finally, it is evaluative. Rather than just describing concepts such as test reliability or adaptive testing, it stresses the underlying principles, merits and drawbacks of each approach to assessment, and methods of developing and evaluating questionnaires and tests. Unusually for an introductory text, it includes coverage of several cutting-edge techniques, and this new edition expands the discussion on measurement invariance, methods of detecting/quantifying bias and hierarchical factor models, and features added sections on:

Best practices for translation of tests into other languages and problems of cultural bias

Automatic item generation

The advantages, drawbacks and practicalities of internet-based testing

Generalizability theory

Network analysis

Dangerous assumptions made when scoring tests

The accuracy of tests used for assessing individuals

The two-way relationship between psychometrics and psychological theory

Aimed at non-mathematicians, this friendly and engaging text will help you to understand the fundamental principles of psychometrics that underpin the measurement of any human characteristic using any psychological test. Written by a leading figure in the field and accompanied by additional resources, including a set of spreadsheets which use simulated data and other techniques to illustrate important issues, this is an essential introduction for all students of psychology and related disciplines. It assumes very little statistical background and is written for students studying psychological assessment or psychometrics, and for researchers and practitioners who use questionnaires and tests to measure personality, cognitive abilities, educational attainment, mood or motivation.

Table of Contents

Preface

Chapter 1: Introduction to Psychometrics

Chapter 2: Tests, Scales and Testing

Chapter 3: The meaning of measurement

Chapter 4: Administering and scoring Questionnaires and Tests

Chapter 5: Interpreting Scores

Chapter 6: Correlations

Chapter 7: Random errors of measurement

Chapter 8: Systematic Influences and Generalisability Theory

Chapter 9: Test Validity, Bias and Invariance

Chapter 10: Introduction to factor analysis

Chapter 11: Performing and interpreting factor analyses

Chapter 12: Alternative factor analysis designs

Chapter 13: Developments in Factor Analysis

Chapter 14: Network Analysis

Chapter 15: Item response theory

Chapter 16: Test and scale construction

Chapter 17: Problems with test scores

Chapter 18: Psychometrics in context

References

Index

The author proposes an epistemological strategy to resolve controversial issues in the indigenous psychology (IP) movement. These include the nature of IPs, scientific standards, cultural concepts, philosophy of science, mainstream psychology, generalization of findings, and the isolation and independence of IPs. The approach includes a two-step strategy for construction of culture-inclusive theories, based on a Mandala model of self and a Face and Favor model for social interaction, and the use of these models to develop culture-inclusive theories for Confucian morphostasis. The author has successfully used this strategy, and encourages others to use it to construct their own culture-inclusive theories.

A SPECTATOR BOOK OF THE YEAR 'History that reads like biography that reads like a novel - a fluid narrative that defies expectations and plays against type' New York Times 'Brilliant and savage' Philip Hensher An unprecedented history of the personality test conceived a century ago by a mother and her daughter - fiction writers with no formal training in psychology - and how it insinuated itself into our boardrooms, classrooms, and beyond. The Myers-Briggs Type Indicator is the most popular personality test in the world. It has been harnessed by Fortune 100 companies, universities, hospitals, churches, and the military. Its language - of extraversion vs. introversion, thinking vs. feeling - has inspired online dating platforms and Buzzfeed quizzes alike. And yet despite the test's widespread adoption, experts in the field of psychometric testing, a $500 million industry, struggle to account for its success - no less validate its results. How did the Myers-Briggs insinuate itself into our jobs, our relationships, our internet, our lives? First conceived in the 1920s by the mother-daughter team of Katherine Briggs and Isabel Briggs Myers, a pair of aspiring novelists and devoted homemakers, the Myers-Briggs was designed to bring the gospel of Carl Jung to the masses. But it would take on a life of its own, reaching from the smoke-filled boardrooms of mid-century New York to Berkeley, California, where it was honed against some of the 20th century's greatest creative minds. It would travel across the world to London, Zurich, Cape Town, Melbourne, and Tokyo; to elementary schools, nunneries, wellness retreats, and the closed-door corporate training sessions of today. Drawing from original reporting and never-before-published documents, What's Your Type? examines nothing less than the definition of the self - our attempts to grasp, categorise and quantify our personalities. Surprising and absorbing, the book, like the test at its heart, considers the timeless question: What makes you you?

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data. New to the Second Edition Reorganized to focus on unbalanced data Reworked balanced analyses using methods for unbalanced data Introductions to nonparametric and lasso regression Introductions to general additive and generalized additive models Examination of homologous factors Unbalanced split plot analyses Extensions to generalized linear models R, Minitab (R), and SAS code on the author's website The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

This reference introduces an innovative new-employee safety risk model, keyed to a typical new worker becoming acclimated to a new job and workplace. It reviews risk factors, their root causes, and how they can be addressed and minimized through targeted strategies at each stage of a worker's early months on the job. The model and its supporting findings dovetail with current thinking on employee safety and organizational accountability. And, of extra benefit to employers, the risk management strategies to improve new employee safety can be undertaken with minimal expenditure of time, money, and disruption. The book's real-world framework: * Analyzes high accident rates among new hires. * Describes four basic types of job applicants and safety concerns common to each. * Examines the role of recruitment and selection processes in promoting employee safety. * Discusses safety benefits and risks surrounding pre-start training. * Models the use of new employees' job familiarization to minimize safety risks. * Identifies safety risks associated with helping behaviors. * Identifies employee measures that can be used in assessing job safety risk. * Integrates safety management strategies with other human resource management activities New Employee Safety provides clear practical guidance to individuals involved in occupational safety management. The book makes a useful text for undergraduate and postgraduate courses on occupational safety management, and in fields such as behavioral science, psychology, business management, and human resources.

Practice prepare and get ready to pass. Don't let a psychometric test stop you getting the job you want. Packed with practice questions and practical Passing Psychometric Tests will help you lose the fear, prepare and practice with everything you need to know to pass with flying colours.

This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author's previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survival and time-series analysis. Each section concludes with a presentation of the computer code used to illuminate the analysis, as well as pointers to packages in R that can be used for similar analyses and nonstandard cases. The accessible code and breadth of topics make this book an ideal tool for graduate students or researchers in the behavioral sciences who are interested in performing advanced statistical analyses without having a sophisticated background in computer science and mathematics.

Understanding Quantitative and Qualitative Research in Psychology is the most hands-on, accessible and approachable guide to the entire research process, which fully explores both quantitative and qualitative methods to give students the knowledge and confidence they need.

Students are presented with a practically-focused guide to carrying out psychological research and are taken from formulating a research question through to collecting data, analysing datasets statistically with SPSS or qualitatively with a range of approaches, and finally presenting and thinking critically about research findings.

They are shown the importance of research ethics, and coverage of the replication crisis and the open science movement is considered throughout.

An utterly absorbing collection of ten classic tales from the therapist’s chair by renowned psychiatrist and best-selling author Irvin D. Yalom.

Why was Saul tormented by three unopened letters from Stockholm? What made Thelma spend her whole life raking over a long-past love affair? How did Carlos's macho fantasies help him deal with terminal cancer?

In this engrossing book, Irvin Yalom gives detailed and deeply affecting accounts of his work with these and seven other patients. Deep down, all of them were suffering from the basic human anxieties—isolation, fear of death or freedom, a sense of the meaninglessness of life—that none of us can escape completely. And yet, as the case histories make touchingly clear, it is only by facing such anxieties head on that we can hope to come to terms with them and develop. Throughout, Dr. Yalom remains refreshingly frank about his own errors and prejudices; his book provides a rare glimpse into the consulting room of a master therapist.

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outstanding research reference. Starting with the unified theory, the authors explain in the clearest of terms the subsequent developments. In fact, even the most modern innovations of survey sampling, both methodological and theoretical, have found a place in this concise volume. See what's new in the Second Edition: Descriptions of new developments A wider range of approaches to common problems Increased coverage of methods that combine design and model-based approaches, adjusting for sample errors Covering the current state of development of essential aspects of theory and methods of survey sampling, the authors have taken great care to avoid being dogmatic and eschew taking sides in their presentation. They have created tool for graduate and advanced level students and a reference for researchers and practitioners that goes beyond the coverage found in most textbooks.

This Element describes noteworthy developments in cross-cultural psychology of the past half century. It stresses the author's involvement with the Journal of Cross-Cultural Psychology and the International Association for Cross-Cultural Psychology. It presents events in a decade-by-decade format, allowing brief discussion of high points in each decade, such as significant conferences and books, and commentaries on selected scholars. Topics include summaries of IACCP conferences, Online Readings in Psychology and Culture, IACCP Archives, and assessment of introductory psychology texts and their cultural content. Key aspects of culture-centered methodology in psychology and the teaching of culture-oriented psychology conclude the presentation.

This Handbook provides a contemporary and research-informed review of the topics essential to clinical psychological assessment and diagnosis. It outlines assessment issues that cross all methods, settings, and disorders, including (but not limited to) psychometric issues, diversity factors, ethical dilemmas, validity of patient presentation, psychological assessment in treatment, and report writing. These themes run throughout the volume as leading researchers summarize the empirical findings and technological advances in their area. With each chapter written by major experts in their respective fields, the text gives interpretive and practical guidance for using psychological measures for assessment and diagnosis.

Robert Guion's best seller is now available in this new second edition. This noted book offers a comprehensive and practical view of assessment -based personnel decisions not available elsewhere in a single source. This edition more frankly evaluates the current research and practice and presents challenges that will change the basic thinking about staffing systems. This new edition suggests new directions for research and practice, includes emphasis on modern computers and technology useful in assessment, and pays more attention to prediction of individual growth and globalization challenges in the assessment process. The book will be of interest to faculty and students in Industrial Organizational psychology, human resource management and business. IO psychologists in private business and public sector organizations who have responsibilities for staffing and an interest in measurement and statistics will find this book useful.

The field of psychometrics has a long and varied tradition across the social sciences. A range of academics have sought to understand human consciousness more fully by statistical testing our abilities, personalities, attitudes and beliefs. But perhaps the area where psychometric techniques have had most impact on contemporary society is in employee recruitment, where a range of psychometric tests have become common-place. Professor Peter Saville is one of the pioneers of adapting psychometric testing to the field of occupational psychology and human resource management. In a career of nearly 40 years, his work has been adopted by hundreds of public and private organizations, assessing the suitability of prospective candidates through a range of questionnaires and tests. In this anthology of his work, including both keynote conference address and journal papers, Saville provides a masterly overview of the field of psychometrics, and the key issues and questions that it raises. An ideal companion for any student or researcher of HRM, occupational or organizational psychology, or applied psychology in general, Peter Saville's selected works represent the thinking of one of the most influential psychologists of our time.

This book provides an overview of cutting-edge methods currently being used in cognitive psychology, which are likely to appear with increasing frequency in coming years. Once built around univariate parametric statistics, cognitive psychology courses now seem deficient without some contact with methods for signal processing, spatial statistics, and machine learning. There are also important changes in analyses of behavioral data (e.g., hierarchical modeling and Bayesian inference) and there is the obvious change wrought by the advancement of functional imaging. This book begins by discussing the evidence of this rapid change, for example the movement between using traditional analyses of variance to multi-level mixed models, in psycholinguistics. It then goes on to discuss the methods for analyses of physiological measurements, and how these methods provide insights into cognitive processing. New Methods in Cognitive Psychology provides senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, and the very latest in theory and research for the more established topics.

Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions. The text covers current research output in a student-friendly manner with attractive illustrations. It introduces sampling and discusses how to select a sample for which a selection-probability is specified to prescribe its performance characteristics. The author then explains how to examine samples with varying probabilities to derive profits. He then examines how to use partial segments to make reasonable guesses about a sample's behavior and assess the elements of discrepancies. Including case studies, exercises, and solutions, the book highlights special survey techniques needed to capture trustworthy data and put it to intelligent use. It then discusses the model-assisted approach and network sampling, before moving on to speculating about random processes. The author draws on his extensive teaching experience to create a textbook that gives your students a thorough grounding in the technologies of survey sampling and modeling and also provides you with the tools to teach them.