Conducting Research in Psychology: Measuring the Weight of Smoke provides students an engaging introduction to psychological research by employing humor, stories, and hands-on activities. Through its methodology exercises, learners are encouraged to use their intuition to understand research methods and apply basic research principles to novel problems. Authors Brett W. Pelham and Hart Blanton integrate cutting-edge topics, including implicit biases, measurement controversies, online data collection, and new tools for determining the replicability of a set of research findings. The Fifth Edition broadens its coverage of methodologies to reflect the types of research now conducted by psychologists. Two new chapters accommodate the needs of instructors who incorporate student research projects into their courses.

Scale Development: Theory and Applications, by Robert F. DeVellis and new co-author Carolyn T. Thorpe, demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The Fifth Edition includes a new chapter that lays out the key concepts that distinguish indices from scales, contrasts various types of indices, suggests approaches for developing them, reviews validity and reliability issues, and discusses in broad terms some analytic approaches. All chapters have been updated, and the book strikes a balance between including relevant topics and highlighting recent developments in measurement while retaining an accessible, user-friendly approach to the material covered.

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book s website so that users can run analyses of the text data as well as data from their own studies.

The new edition features:

• More explanation as to why randomization tests are useful and how to apply them.
• More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology.
• A website with the macros and datasets for all of the text examples in IBM SPSS and Excel.
• Exercises at the end of most chapters that help readers test their understanding of the material.
• A new glossary that defines the key words that appear in italics when they are first introduced.
• A new appendix that reviews the basic skills needed to do randomization tests.
• New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book.

The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own.

Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book s accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.

This research volume serves as a comprehensive resource for psychophysiological research on media responses. It addresses the theoretical underpinnings, methodological techniques, and most recent research in this area. It goes beyond current volumes by placing the research techniques within a context of communication processes and effects as a field, and demonstrating how the real-time measurement of physiological responses enhances and complements more traditional measures of psychological effects from media.

This volume introduces readers to the theoretical assumptions of psychophysiology as well as the operational details of collecting psychophysiological data. In addition to discussing specific measures, it includes brief reviews of recent experiments that have used psychophysiological measures to study how the brain processes media. It will serve as a valuable reference for media researchers utilizing these methodologies, or for other researchers needing to understand the theories, history, and methods of psychophysiological research.

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book's exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book's pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book's exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book's pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

Anyone in a helping profession-including professional counselors, spiritual directors, pastoral counselors, chaplains and others-needs to develop effective communication skills. But learning these skills is like learning a new language: it takes time and practice to communicate effectively, and lack of practice can lead to the loss of one's ability to use this new language. Suitable for both beginning students and seasoned practitioners, Skills for Effective Counseling provides a biblically integrated approach to foundational counseling skills that trains the reader to use specific microskills. These skills include perceiving, attending, validating emotion and empathic connection. Chapters include textbook features such as sample session dialogues, role plays and a variety of both in-class and out-of-class exercises and reflection activities that will engage various learning styles. Strategically interwoven throughout the chapters are special topics related to: multicultural counseling biblical/theological applications current and seminal research related to microskills diagnostic and theoretical implications clinical tips for using skills in "real world" counseling settings the relevance of specific microskills to interpersonal relationships and broader ministry settings This textbook and the accompanying IVP Instructor Resources include all of the activities and assignments that an instructor might need to execute a graduate, undergraduate or lay course in foundational counseling skills. Professors teaching within CACREP-accredited professional counseling programs will be able to connect specific material in the textbook to the latest CACREP Standards. Christian Association for Psychological Studies (CAPS) Books explore how Christianity relates to mental health and behavioral sciences including psychology, counseling, social work, and marriage and family therapy in order to equip Christian clinicians to support the well-being of their clients.

Rolf Steyer, Autor des erfolgreichen Lehrbuchs "Messen und Testen," schliesst mit diesem Buch die Kluft zwischen Regressionstheorie und deren empirischer Anwendung, der Regressionsanalyse.
Grundbegriffe der Statistik werden ohne Bezug zu komplizierten Stichprobenmodellen erlautert. Neben der Regressionsanalyse konnen auch verschiedene statistische Verfahren, wie die Varianz- oder Faktorenanalyse, als Spezialfalle regressiver Abhangigkeiten angesehen werden. Das Studium der Regressionstheorie dient daher dem Verstandnis grundlegender statistischer Verfahren in der Psychologie."

This book fills a gap in international literature by providing critical reviews on variables of organizational behavior and the main psychological instruments developed to measure them. Measuring instruments developed with theoretical and methodological rigor in the field of Organizational and Work Psychology can contribute to the development of diagnostic analyses to enable organizations to implement the evidence-based changes required for their survival. These changes demand diagnoses based on precise assessments of organizational and individual variables, but many times the professionals responsible for conducting these assessments are not sure of what is the best measuring instrument available. This book is intended to serve as a guide to these professionals. The volume is divided in two parts. The first part brings together chapters dedicated to the following micro-organizational variables: Job Crafting, reactions to organizational change, Psychological Wellbeing at Work, Bridge Employment Assessment in the Work-Retirement Transition, Resilience at Work, and Leadership in Organizations. The second part presents the state-of-the-art of research on the following macro-organizational constructs: Quality of Life at Work, Organizational Climate for Creativity, Values and Organizations, Assessments of Organizational Support, and Contributions by Social Networks Analysis and Organizational Effectiveness. The last chapter presents a critical discussion about the nature and future of organization behavior measuring. Assessing Organizational Behaviors: A Critical Analysis of Measuring Instruments is intended to help market professionals select the diagnostic instruments that best fit into their organizational reality in order to correctly assess organizational behavior. The book will also be of interest to researchers and students in the field of Organizational and Work Psychology as it provides comprehensive overviews of a wide range of instruments developed to measure different variables of organizational behavior.

The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn't need to be difficult or dull. This text minimizes students' anxieties about math by explaining the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices. New to the Fourth Edition are sections on working with big data, new coverage of alternative non-parametric tests, beta coefficients, and the "nocebo effect," discussions of p values in the context of research, an expanded discussion of confidence intervals, and more exercises and homework options under the new feature "Test Yourself." Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access to all text-specific resources, including a test bank and editable, chapter-specific PowerPoint (R) slides.

Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited edition takes into account the various developments that have occurred since the publication of the original edition.

New to the Second Edition

• A new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation
• More complete coverage of descriptive factor analysis and doublet factor analysis
• A rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications
• Discussions on the developments of factor score indeterminacy
• A revised chapter on confirmatory factor analysis that addresses philosophy of science issues, model specification and identification, parameter estimation, and algorithm derivation

Presenting the mathematics only as needed to understand the derivation of an equation or procedure, this textbook prepares students for later courses on structural equation modeling. It enables them to choose the proper factor analytic procedure, make modifications to the procedure, and produce new results.

Everyone is on a journey of growth, from birth to death. The authors used their research data, to tap into the vital stages of this journey of growth from a psychological growth perspective. They linked the stages of psychological growth to self-leadership development. Additionally, they linked different stages of self-leadership development to different types and styles of leadership. For example, they found that authoritative leadership is linked to earlier stages of psychological growth, while inclusive leadership is linked to latter stages of psychological growth.

The Poetic Journey of Self-Leadership: Leadership Development along Stages of Psychological Growth is relevant to those interested in self-reflection (as it assists to assign oneself to a stage of psychological development), personal growth (as it anticipates processes to follow during one’s current stage of development), self-leadership development, as well as useful for leadership assessment by practitioners (by assigning leadership to stages of development). Additionally, from an academic perspective, the book is relevant to psychology, sociology and leadership students.

Contents include:

• Surviving: Abandonment versus overwhelment; Survival-stage leader
• Conforming: Internality versus externality; Conforming leader
• Differentiating: Social predestination; Differentiated leader
• Individuating: Guilt versus fear; Journey to individuation; Conquering complexes; Authenticity; Individuated leader
• Self-actualizing: Kintsugi; Traumas; Magical other; Self-actualised leader
• Integrating: Values; Heroes; Purpose; Integrated leader
• Serving: Servant leader

Books about leadership and poetry are mostly written from the perspective of leaders, but The Poetic Journey of Self-Leadership: Leadership Development along Stages of Psychological Growth, focuses on self-leadership development, and not the usual listing of heroic leader capabilities that must be strived for. The authors used self-reported poetry from diverse participants, and in their own voices as their main data collection source. The book presents a diversity of writing styles and topics, and makes it much wider in scope and richer than other books.

Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross-national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. Online resources, available at www.routledge.com/9781138690271, include some of the data sets and syntax commands used in the book. Applications from the behavioral and social sciences that use real data-sets demonstrate: The use of samples from 17 countries to validate the resistance to change scale across these nations How to test the cross-national invariance properties of social trust The interplay between social structure, religiosity, values, and social attitudes A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries. The second edition includes six new chapters and two revised ones presenting exciting developments in the literature of cross-cultural analysis including topics such as approximate measurement invariance, alignment optimization, sensitivity analyses, a mixed-methods approach to test for measurement invariance, and a multilevel structural equation modeling approach to explain noninvariance. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.

The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples.

After reading this book, readers will be able to:

Analyze qualitative data and present their findings

Select an appropriate qualitative analysis tool

Decide on the right qualitative coding and categorization strategies for their analysis

Develop relationships among categories/themes

Choose a suitable format for the presentation of the findings

It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.

Table of Contents

1. Introduction to Qualitative Data Analysis

2. Review of Qualitative Approaches and their Data Analysis Methods

3. Understanding the Art of Coding Qualitative Data

4. Preparing Data to Code

5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions

6. Documenting Personal Reflections and Analytical Process

7. Manually Assigning Codes to Data

8. Developing Categories and Themes

9. Connecting Themes and Developing Tables and Diagrams

10. Using QDA Miner Lite to Analyze Qualitative Data

11. Using NVivo 12 to Analyze Qualitative Data

12. Using Dedoose to Analyze Qualitative Data

13. Presenting Qualitative Findings

14. Ensuring Credibility of the Analysis Process and Findings

Appendix

This fully updated new edition not only provides an introduction to a range of advanced statistical techniques that are used in psychology, but has been expanded to include new chapters describing methods and examples of particular interest to medical researchers. It takes a very practical approach, aimed at enabling readers to begin using the methods to tackle their own problems.

This book provides a non-mathematical introduction to multivariate methods, with an emphasis on helping the reader gain an intuitive understanding of what each method is for, what it does and how it does it. The first chapter briefly reviews the main concepts of univariate and bivariate methods and provides an overview of the multivariate methods that will be discussed, bringing out the relationships among them, and summarising how to recognise what types of problem each of them may be appropriate for tackling. In the remaining chapters, introductions to the methods and important conceptual points are followed by the presentation of typical applications from psychology and medicine, using examples with fabricated data.

Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, as well as details of how to interpret and report the output, and extracts of SPSS syntax and code from relevant SAS procedures.

This book gets students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, medical students and students or academics in any discipline that uses multivariate methods.

Table of Contents

Preface. 1. Multivariate Techniques in Context. 2. Analysis of Variance (ANOVA). 3. Multivariate Analysis of Variance (MANOVA). 4. Multiple Regression. 5. Analysis of covariance (ANCOVA). 6. Partial Correlation, Mediation and Moderation. 7. Path Analysis. 8. Factor Analysis. 9. Discriminant Analysis and Logistic Regression. 10. Cluster Analysis. 11. Multidimensional Scaling. 12. Loglinear Models. 13. Poisson Regression. 14. Survival Analysis. 15. Longitudinal Data. Appendix: SPSS and SAS Syntax.

Mental illness is many things at once: It is a natural phenomenon that is also shaped by society and culture. It is biological but also behavioral and social. Mental illness is a problem of both the brain and the mind, and this ambiguity presents a challenge for those who seek to accurately classify psychiatric disorders. The leading resource we have for doing so is the American Psychiatric Association's Diagnostic and Statistical Manual, but no edition of the manual has provided a decisive solution, and all have created controversy. In The Diagnostic System, the sociologist Jason Schnittker looks at the multiple actors involved in crafting the DSM and the many interests that the manual hopes to serve. Is the DSM the best tool for defining mental illness? Can we insure against a misleading approach? Schnittker shows that the classification of psychiatric disorders is best understood within the context of a system that involves diverse parties with differing interests. The public wants a better understanding of personal suffering. Mental-health professionals seek reliable and treatable diagnostic categories. Scientists want definitions that correspond as closely as possible to nature. And all parties seek definitive insight into what they regard as the right target. Yet even the best classification system cannot satisfy all of these interests simultaneously. Progress toward an ideal is difficult, and revisions to diagnostic criteria often serve the interests of one group at the expense of another. Schnittker urges us to become comfortable with the socially constructed nature of categorization and accept that a perfect taxonomy of mental-health disorders will remain elusive. Decision making based on evolving though fluid understandings is not a weakness but an adaptive strength of the mental-health profession, even if it is not a solid foundation for scientific discovery or a reassuring framework for patients.

Strategies and Tactics of Behavioral Research and Practice focuses on the most effective methods for measuring and evaluating changes in behavior. The authors provide the rationale for different procedures for measuring behavior and designing within-subject comparisons between control and intervention conditions. The text explains the strengths and weaknesses of methodological alternatives for every topic so that behavioral researchers and practitioners can make the best decisions in each situation. This classic text has been extensively revised to be more accessible and practical. Not only does it feature much more discussion of how research methods are relevant to today's practitioners, it also includes additional examples based on field research and service delivery scenarios. With expanded coverage on creating experimental designs, as well as new chapters on behavioral assessment, the statistical analysis of data, and ethical issues associated with research methods, this book provides a strong foundation for direct behavioral measurement, within-subject research design, and interpretation of behavioral interventions. Enriched with more pedagogical features, including key terms, tables summarizing important points, figures to help readers visualize text, and updated examples and suggested readings, this book is an invaluable resource for students taking courses in research methods. This book is appropriate for researchers and practitioners in behavior analysis, psychology, education, social work, and other social and health science programs that address questions about behavior in research or practice settings.

This new edition illustrates all the major methods of research used in the social sciences with research articles on contemporary topics that will hold your students' interest. The lines in each article are sequentially numbered for easy reference during classroom discussions. New to this edition: While many of the articles from the sixth edition have been retained, 12 new articles have been added to illustrate a wider array of research methods and to keep this popular reader up-to-date.

Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages

The study of brain lesions and their impact on cognition and behavior has been the dominant tool used to examine the complex function of the brain for the last three centuries. By testing neuropsychological deficits that correlate with a lesion in a particular part of the brain, it is possible to hypothesise about the role and cognitive function of that individual brain area. Over the past several decades, the rapid development and implementation of many new technologies to visualize brain activity has greatly augmented our understanding of brain function. However, even now there are many experimental questions that are difficult, if not impossible to answer in any way other than lesion techniques. Such studies though are not without their own challenges to overcome such as lesion-induced neuroplasticity, widespread degenerative changes, and the permanent nature of a lesion. Recent developments in different fields of neuroscience have provided tools to overcome many of the problems related to conventional lesion techniques and have succeeded to synthesizing these new approaches with a variety of new techniques to visualize brain activity on the level of individual neurons as well as on the level of cognitive performance.

These 'virtual lesions' involve the temporary deactivation of a part of the brain, by means of a range of techniques that have been recently developed. Because these deactivations are reversible, and leave the neuronal substrate unaffected, they provide a much more controllable, and rigorous way of testing subjects. These 'virtual lesion' approaches provide an essential bridge across the gap between basic research and computational approaches and provide mechanisms to test the applicability of models and their annexant hypotheses. 'Virtual Lesions' provides a state of the art guide to the full range of reversible deactivation techniques available. With each chapter written by experts in their respective field, and providing evidence of the practical applications of their methods, along with potential pitfalls, the book will serve as a valuable and practical guide for future experimentation within cognitive neuroscience.

This unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines that can be reproduced by the readers. It also addresses computer applications, including relevant R packages and modules. Configural frequency analysis is a statistical method that allows the processing of important and interesting questions in categorical data. The perspective of CFA differs from the usual perspective of relations among variables; its focus is on patterns of variable categories that stand out with respect to specific hypotheses, and as such, CFA allows for testing numerous substantive hypotheses. The book describes the origins of CFA and their relation to chi-square analysis as well as the developments that are based on log-linear modeling. The models covered range from simple models of variable independence to complex models that are needed when causal hypotheses are tested. Empirical data examples are provided for each model. New models are introduced for person-oriented mediation analysis and locally optimized time series analysis, and new results concerning the characteristics of CFA methods are bolstered using Monte Carlo simulations. Primarily intended for researchers and students in the social and behavioral sciences, the book will also appeal to anyone who deals with categorical data from a person-centered perspective.

'... an important and captivating book, one that has been long awaited by all researchers interested in language and the brain.' Trends in Cognitive Sciences, 1999. The Neurocognition of Language brings together experts on human language and the brain to present the first critical overview of the cognitive neuroscience of language, one of the fastest-moving and most exciting areas today. In-depth discussion of the representations and structures of language, as well as of the cognitive architectures which underlie speaking, listening, and reading, will provide a basis for future brain imaging research. In addition, the existing brain imaging literature on word and sentence processing is critically reviewed, as well as contributions from brain lesion data. Finally, the book discusses the prospects and problems of brain imaging techniques for the study of language, presents some of the most recent and promising analytic procedures for relating brain imaging data to the higher cognitive functions, and contains a review of the neuroanatomical structure of Broca's language area. Uniquely interdisciplinary, this book will provide researchers and students in cognitive neuroscience with state-of-the-art reviews of the major language functions, while being of equal interest to researchers in linguistics and language who want to learn about the neural bases of language. It will be an essential purchase for anyone requiring an overview of our current understanding of the relation between language and the brain.

This open access textbook offers a practical guide into research ethics for undergraduate students in the social sciences. A step-by-step approach of the most viable issues, in-depth discussions of case histories and a variety of didactical tools will aid the student to grasp the issues at hand and help him or her develop strategies to deal with them. This book addresses problems and questions that any bachelor student in the social sciences should be aware of, including plagiarism, data fabrication and other types of fraud, data augmentation, various forms of research bias, but also peer pressure, issues with confidentiality and questions regarding conflicts of interest. Cheating, 'free riding', and broader issues that relate to the place of the social sciences in society are also included. The book concludes with a step-by-step approach designed to coach a student through a research application process.