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 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 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.

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 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.

Fully updated to reflect the latest developments, the third edition of Research Methods In Clinical Psychology offers a comprehensive introduction to the various methods, approaches, and strategies for conducting research in the clinical psychology field. * Represents the most accessible, user-friendly introduction to conducting and evaluating research for clinical psychologists and related professionals * Ideal for students and practitioners who wish to conduct their own research or gain a better understanding of published research * Addresses important issues such as philosophical underpinnings of various methodologies, along with socio-political issues that arise in clinical and community settings * Step-by-step guidance through all phases of a clinical psychology research project from initial concept and groundwork, through to measurement, design, analysis, and interpretation * Updates to this edition include new or expanded coverage of such topics as systematic review and literature searching methods, modern psychometric methods, guidance on choosing between different qualitative approaches, and conducting psychological research via the Internet

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 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.

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.

Synthesizing a vast body of empirical research and organizing it around a comprehensive conceptual model, this book is recognized as the definitive reference on adult attachment. The authors explain how what began as a theory of child development is now used to conceptualize and study nearly all aspects of social functioning across the lifespan, including mental representations of self and others, emotion regulation, personal goals and strivings, couple relationships, caregiving, sexuality, psychopathology, psychotherapy, and organizational behavior. The origins and measurement of individual differences in adult attachment are examined, as is the question of whether and how attachment patterns can change. New to This Edition: *Reflects major advances, including hundreds of new studies. *Clarifies and extends the authors' influential model of attachment-system functioning. *Cutting-edge content on genetics and on the neural and hormonal substrates of attachment. *Increased attention to the interplay among attachment and other behavioral systems, such as caregiving and sexuality. *Expanded discussion of attachment processes in counseling and psychotherapy. *Additional coverage of leadership, group dynamics, and religion.

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter's content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.

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.

This book provides a comprehensive introduction to psychological assessment and covers areas not typically addressed in existing test and measurements texts, such as neuropsychological assessment and the use of tests in forensics settings. The book introduces the vocabulary of the profession and the most basic mathematics of testing early as being fundamental to understanding the field. Numerous examples are drawn from tests that the authors have written or otherwise helped to develop, reflecting the authors' deep understanding of these tests and their familiarity with problems encountered in test development, use, and interpretation. Following the introduction of the basic areas of psychometrics, the book moves to areas of testing that represent various approaches to measuring different psychological constructs (memory, language, executive function, etc.), with emphasis on the complex issue of cultural bias in testing. Examples of existing tests are given throughout the book; however, this book is not designed to prepare students to go out and administer, score, and interpret specific psychological tests. Rather, the purpose of this book is to provide the foundational core of knowledge about tests, measurement, and assessment constructs, issues, and quantitative tools. Explains what constitutes a psychological test, how tests are developed, how they are best used, and how to evaluate their strengths and weaknesses; Describes areas of testing that represent different approaches to measuring different psychological constructs; Explains applications of psychological testing to issues in the courts; Addresses how test authors and publishers design and research tests to address the difficult and demanding issues of cultural differences in test performance and interpretation of test results.

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.

A common question posed to PhD students from friends and family is, "What will you do after?" But many students are too focused on the PhD itself and have not yet had a chance to sufficiently think about post-PhD life. This book is a collection of 22 interviews with those have completed a PhD and then are now in an academic position or another career path. In either case, they have all been successful and have a multitude of insights to share with those who are interested in considering a variety of careers. Academic careers share many commonalities with many non-academic careers, with skills learned within academia being valuable in other career paths as well. Nearly all the individuals interviewed here have been on the job market recently and understand today's job climate. No other book on the market includes the diversity of perspectives presented here. In particular, the focus on psychology and neuroscience draws from a variety of individuals that have similar training but have nonetheless taken divergent paths.

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.

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 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.

'... 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.

In this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity.

This comprehensive guide offers a rich introduction to research methods, experimental design and data analysis techniques in developmental science, emphasizing the importance of an understanding of this area of psychology for any student or researcher interested in examining development across the lifespan. The expert contributors enhance the reader's knowledge base, understanding of methods, and critical thinking skills in their area of study. They cover development from the prenatal period to adolescence and old age, and explore key topics including the history of developmental research, ethics, animal models, physiological measures, eye-tracking, and computational and robotics models. They accessibly explore research measures and design in topics including gender identity development, the influence of neighborhoods, mother-infant attachment relationships, peer relationships in childhood, prosocial and moral development patterns, developmental psychopathology and social policy, and the examination of memory across the lifespan. Each chapter ends with a summary of innovations in the field over the last ten years, giving students and interested researchers a thorough overview of the field and an idea of what more is to come. Conducting Research in Developmental Psychology is essential reading for upper-level undergraduate or graduate students seeking to understand a new area of developmental science, developmental psychology, and human development. It will also be of interest to junior researchers who would like to enhance their knowledge base in a particular area of developmental science, human development, education, biomedical science, or nursing.

To generate coherent behaviour, the brain needs to attend selectively to the many objects that are present in the environment, but this poses several questions. How does the brain know which objects 'belong together'? How does the information from different senses get combined? How does this help to plan and carry out actions? The subject of attentional mechanisms has a long history in cognitive psychology, as it is the key to making sense of the visual world. However, new developments in cognitive neuroscience, and greater understanding of how attention and action are integrated, have transformed the field. This book is the first to bring together leading researchers to discuss the convergence of experimental findings in the following areas: Visual selective attention Attention and perceptual integration Spatial representation and attention Visual attention and action Control of attention Attention, Space, and Action provides a unique combination of perspectives that will appeal to students and researchers from psychology, neuropsychology, neurophysiology, and neuroanatomy.