This book summarizes the latest research findings in the neurocircuitry of innate behaviors, covering major topics such as innate fear, aggression, feeding, reward, social interaction, parental care, spatial navigation, and sleep-wake regulation. For decades, humans have been fascinated by wild animals' instincts, like the annual two-thousand-mile migration of the monarch butterfly in North American, and the "imprint" behavior of newborn birds. Since these instincts are always displayed in stereotypical patterns in most individuals of a given species, the neural circuits processing such behaviors must be genetically hard-wired in the brain. Recently, with the development of modern techniques, including optogenetics, retrograde and anterograde virus tracing, and in vivo calcium imaging, researchers have been able to determine and dissect the specific neural circuits for many innate behaviors by selectively manipulating well-defined cell types in the brain. This book discusses recent advances in the investigation of the neural-circuit mechanisms underlying innate behaviors.

This edited volume offers useful resources for researchers conducting fieldwork in various global conflict contexts, bringing together a range of international voices to relay important methodological challenges and opportunities from their experiences. The book provides an extensive account of how people do conflict research in difficult contexts, critically evaluating what it means to do research in the field and what the role of the researcher is in that context. Among the topics discussed: Conceptualizing the interpreter in field interviews in post-conflict settings Data collection with indigenous people Challenges to implementation of social psychological interventions Researching children and young people's identity and social attitudes Insider and outsider dynamics when doing research in difficult contexts Working with practitioners and local organizations Researching Peace, Conflict, and Power in the Field is a valuable guide for students and scholars interested in conflict research, social psychologists, and peace psychologists engaged in conflict-related fieldwork.

*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.

Many psychological factors are little more than statistical descriptions of particular sets of data and have no real significance. Paul Kline uses his long and extensive knowledge of psychological measurement to argue that truly scientific forms of measurement could be developed to create a new psychometrics. This would transform the basis of psychology and change it from a social science to a pure science.

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This volume collects recent studies conducted within the area of medical education that investigate two of the critical components of problem-based curricula--the group meeting and self-directed learning--and demonstrates that understanding these complex phenomena is critical to the operation of this innovative curriculum. It is the editors' contention that it is these components of problem-based learning that connect the initiating "problem" with the process of effective "learning." Revealing how this occurs is the task taken on by researchers contributing to this volume. The studies include use of self-reports, interviews, observations, verbal protocols, and micro-analysis to find ways into the psychological processes and sociological contexts that constitute the world of problem-based learning.

The edition of this classic text has been completely revised and updated, taking into account recent developments in the field of psychometrics. Part 1 of Modern Psychometrics outlines the background, history and controversies surrounding psychological testing. Part 2 provides a practical guide for developing a psychometric test. Modern Psychometrics forms the ideal companion for those studying for the British Psychological Society's Certificates of Competence in Testing

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Originally published in 1972, there were many 'classics' dealing with assessment and testing on the market at the time, but most of these left the inexperienced reader bewildered in the early stages, because of their size and insufficient explanation of the many technical terms used. There were a distinct lack of books which gave students in Colleges of Education dealing with psychology for the first time a simple explanation of basic terms in assessment and testing, and which introduced them briefly to the different types of tests available. Assessment and Testing aimed to fill this large gap. It looks at such key psychological terms as 'sample', 'objectivity', 'subjectivity', and such basic statistical terms such as 'mean', 'standard deviation', and 'normal curve of distribution'. Because it assumes that the reader has no knowledge of such terms, it gives careful and simply illustrated explanations of each. In the same way, in simple language, with any technical terms explained and illustrated, it explains intelligence and personality tests, questionnaires, sociometric measures, projection techniques, and other areas of assessment and testing which every practising teacher will meet. The book aims to be essentially practical. It is appreciated all the time that the readers are those who will teach children. It is designed to provide a solid foundation upon which the reader can build later to augment his own experience of identifying children's particular needs.

Introducing Research and Data in Psychology shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics. The uses, interpretation and calculation of common two sample statistical tests are explained. This comprehensive textbook includes the following designed features to help with technique:

• Practice exam answers to show how to achieve a higher grade
• Chapter summaries
• Glossary
• Case studies and examples
• Exercises and a full bibliography.

Psychological Testing: A Practical Introduction 4e offers students of psychology and allied disciplines a comprehensive survey of psychometric principles and tests in the major categories of applied assessment. Coverage includes test norms, reliability, validity, and test development, with an entirely new chapter on test fairness and bias. Chapters on assessment of cognitive ability, achievement, personality, clinical instruments, and attitudes provide up-to-date examples of the widely used tests in each category. Recognizing that active engagement maximizes learning, the text presents as an active learning device rather than a reference work. Extensive use of chapter objectives, key point and end-of-chapter summaries, practice problems, applied scenarios, internet-based resources, and statistics skills review enable students to engage more fully with the material for a deeper understanding. Written in a clear, reader-friendly style, the text approaches challenging topics by balancing technical rigor with relatable examples of contemporary applications.

-Offers a straightforward, detailed guide to how to ensure success of cross-border research projects and interventions, based on decades of experiences in many cultures, as well as meticulous research and documentation. -Accessibly written and illustrated with real examples and case studies of projects, and covers key topics including project management, cultural considerations, handling crises and threats, and successful implementation and dissemination. -Ideal for researchers and project managers - from large, global organisations to small NGOs, as well as university students and academics.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Catolica de Chile and held in Santiago, Chile during July 15th to 19th, 2019. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 8th in a series of recent volumes to cover research presented at the IMPS.

Experimental design is important enough to merit a book on its own, without statistics, that instead links methodology to a discussion of how psychologists can advance and reject theories about human behaviour. The objective of this book is to fulfil this role.; The first four chapters lay the foundations of design in experimental psychology. The first chapter justifies the prominent role given to methodology within the discipline, whilst chapters two and three describe between-subject and within-subject designs. Chapter four compares and contrasts the traditional experimental approach with that of the quasi-experimental, or correlational approach, concluding that the consequences of not recognizing the value of the latter approach can be far-reaching.; The following three chapters discuss practical issues involved in running experiments. The first of these offers a comprehensive guide to the student researcher who wants to construct a good questionnaire, including a discussion of reliability and validity issues. The next chapter considers the basic tools of psychological research, whilst both discussing the theoretical problem of how a sample from a population is chosen and offering useful hints on the practical issue of finding adequate populations from which to select participants. The next chapter considers ethical practice within psychological research, written in large part so that psychology students will be better able to anticipate ethical problems in their studies before they occur.; The final two chapters consider reporting and reading psychological papers. Chapter eight details what should and should not be included in a laboratory report. The contributors use their collective experience of marking numerous lab reports to highlight common errors and provide solutions. Finally, chapter nine describes the various elements of a journal article, including tips on how to get the best out of your journal reading.

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This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

How to Use SPSS (R) is designed with the novice computer user in mind and for people who have no previous experience using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 270 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS (R) the definitive, field-tested resource for learning SPSS. New to this edition: Now in full color with additional screenshots Fully updated to the reflect SPSS version 26 (and prior versions) Changes in nonparametric tests Model View incorporated Data and real output are now available for all Phrasing Results sections - eliminating hypothetical output or hypothetical data

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

This book explores and provides an overview of the Norwegian psychologist Jan Smedslund's life work on Psycho-logic. His contributions to science have been radical not only in challenging the empirical foundation of psychology, but also in seeking to develop a viable alternative. This book brings together various reflections on his key contributions from the 1960s to the present day. The volume features three chapters by Jan Smedslund, offering his updated views on psychological science and psychotherapy. It also features contributions from several scholars that critically evaluates his legacy. His seminal ideas are discussed, revised and expanded upon and the questions raised are put in relevant historical and interdisciplinary context. Respect for Thought is a valuable resource for psychological researchers, historians of psychology, cultural psychologists, critical psychologists, theoretical psychologists, clinical psychologists and psychotherapists, social scientists, philosophers of psychology, and philosophers of science.

Experimental design is important enough to merit a book on its own, without statistics, that instead links methodology to a discussion of how psychologists can advance and reject theories about human behaviour. The objective of this book is to fulfil this role. The first four chapters lay the foundations of design in experimental psychology. The first chapter justifies the prominent role given to methodology within the discipline, whilst chapters two and three describe between-subject and within-subject designs. Chapter four compares and contrasts the traditional experimental approach with that of the quasi-experimental, or correlational approach, concluding that the consequences of not recognizing the value of the latter approach can be far-reaching. The following three chapters discuss practical issues involved in running experiments. The first of these offers a comprehensive guide to the student researcher who wants to construct a good questionnaire, including a discussion of reliability and validity issues. The next chapter considers the basic tools of psychological research, whilst both discussing the theoretical problem of how a sample from a population is chosen and offering useful hints on the practical issue of finding adequate populations from which to select participants. The next chapter considers ethical practice within psychological research, written in large part so that psychology students will be better able to anticipate ethical problems in their studies before they occur. The final two chapters consider reporting and reading psychological papers. Chapter eight details what should and should not be included in a laboratory report. The contributors use their collective experience of marking numerous lab reports to highlight common errors and provide solutions. Finally, chapter nine describes the various elements of a journal article, including tips on how to get the best out of your journal reading.

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Projective Techniques and Sort-Based Research Methods offers a brief introductory guide to the use of these exciting, innovative and often artistic approaches, to students and researchers who have no prior knowledge of these. This book brings together a wide range of examples of projective and mapping techniques that offer the ideal methodology for researchers wishing to collect less controlled and filtered material, that tap the deeper levels of the conscious and sub-conscious to reveal a more profound, richer and hidden level of response. It presents the techniques in a way that will enable the reader to appreciate their nature and to choose an appropriate method for their own research. Information is also provided that allows readers to design and implement their own projective or sort-based approaches. Each of the approaches the authors present are concisely described, and their usages explained, along with references and examples of the applied usage of the technique. The book is valuable reading for researchers from a wide range of academic disciplines from within the social sciences, humanities, business studies, marketing, etc. The book is an introductory guide, but it will be appropriate for use with undergraduate, post-graduate and research students. It will also be of great use to professionals working in the areas of consumer behaviour, marketing and communications.

This third edition apprises users of the MMPI-2/MMPI-2-Restructured Form (RF) for the ever-changing landscape of this dynamic personality/psychopathology instrument and its expanding utility in a variety of contexts. Two new chapters addressing the RC scales and the MMPI-2-RF are included in this updated text. Additionally, over 450 new references have been incorporated into the book, with information gathered and organized for practical clinical and forensic applications. The codetype interpretation chapter has expanded its sections with more in-depth feedback information and treatment considerations for clinicians to help in facilitating the formulation of treatment recommendations and strengthening therapeutic relationships with their clients. A number of special scales with clinical and forensic applications are also covered in this edition. An important section has been added addressing the MMPI and suicide. This new edition is a must-have resource that will inform and guide users of the MMPI-2 and MMPI-2-RF in their daily practices, and assist researchers in conceptualizing the operating characteristics and configural relationships among the various scales and indices that comprise this instrument. From simple single scale interpretation to complex configural relationships, this text addresses a broad bandwidth of interpretive information designed for text users' at all levels of sophistication.

This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples. The contributions inform quantitative social scientists of some of the most cutting-edge developments for MTMM analysis. A range of developments have emerged over the past decade for MTMM analyses, and this book presents these novel additions to the quantitative community as a cohesive narrative. This book makes these recent MTMM contributions accessible to applied researchers (most MTMM innovations are presented in less approachable journals for applied researchers) by providing non-technical summaries and empirical examples. This book will serve as a stepping stone for applied researchers seeking to adopt MTMM analysis into their program of research, and will be relevant to researchers, both within a professional and academic context, across the social and behavioral sciences.

Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students' learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

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

In recent years, a psychological perspective has gained increasing acceptance in the education provided to musicians: teachers, performers, and "creatives" alike. Research in music psychology has revealed how musicians acquire the ability to convey emotional intentions as sounded music, how listeners perceive it as feelings and moods, and how this powerful process relates to social and cultural dynamics. Of course, people who identify as musicians have special interest in these matters. A well-cited volume ever since its initial publication in 2007, Psychology for Musicians is now brought up-to-date in a second edition, particularly in expanding outside the exclusive context of Western formal/academic settings. This new edition draws on insights from recent research in music psychology, combining academic rigor with accessibility to offer readers research-supported ideas that they can readily apply in their musical activities.

The History of Educational Measurement collects essays on the most important topics in educational testing, measurement, and psychometrics. Authored by the field's top scholars, this book offers unique historical viewpoints, from origins to modern applications, of formal testing programs and mental measurement theories. Topics as varied as large-scale testing, validity, item-response theory, federal involvement, and notable assessment controversies complete a survey of the field's greatest challenges and most important achievements. Graduate students, researchers, industry professionals, and other stakeholders will find this volume relevant for years to come.