Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

The motivation for this volume in the History and Theory of Psychology series is to look across sub-disciplines within psychology and highlight instances where researchers transcended the tendency to think about methodology along traditional lines. Contributors have located examples of researchers who built upon existing ideas to create methods true to their interests and theoretical convictions.

Emerging Methods in Psychology shows how a discipline creates new methods and carves out possibilities that not only generate data, but also advance knowledge of human psychological functioning. It concentrates on showcasing the possibilities that exist when the researcher focuses on the relationship between theory, method, and data.

The question of what kind of expertise is required is a key issue. This is particularly the case in psychology where the tradition of standardizing methods over the last century has served to stabilize research questions. Knowledge creation is deeply affective and ambiguous rather than the secure accumulation of data by a socially legitimized procedure. This innovative volume moves beyond psychology as social engineering into new varieties of social knowledge.

This book describes a way of sharing dreams in a group, called 'social dreaming'. It explores how the sharing of real, night time dreams, in a group, can offer information on and insight into ourselves and the worlds we live in and share. It investigates how we can turn dream images, and ideas and feelings that arise from these images, into conscious thought, before describing the ways in which these can be used. Using a background of the psychosocial combined with a philosophical lens influenced by the work of Gilles Deleuze, Julian Manley shows how social dreaming can be understood as a Deleuzian 'rhizome of affects', a web or a root design where things interconnect in a random and spontaneous fashion rather than in a sequential or linear way. He illustrates how social dreaming can link dreams together into a collage of images, and compares this to the rhizome, where clusters of emotional intensity - which emerge from the dream images - weave and interconnect with other clusters, forming a web of interlinked dream images and emotions. From the basis of this rhizome emerges an interpretation of social dreaming as a 'body without organs' and the social dreaming matrix as a 'smooth space' where meanings emerge from the way these images form connections, and come and go according to our emotions at any particular moment.

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive improvements based on suggestions from those using this book in the classroom Statistical procedures that have been developed and validated since the previous edition Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers) Revisions to include recent changes in the APA Style Manual When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own. This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more). Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community. Illustrates how to plan, conduct, analyze, and prepare an experimental or research report Includes new statistical procedures that have been developed and validated since the previous edition Incorporates SAS in the exercises at the end of each chapter Takes into account the changes in the APA guidebook Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption

The encouraging book that has guided thousands of students step by step through crafting a strong dissertation proposal is now in a thoroughly revised second edition. It includes new guidance for developing methodology-specific problem statements, an expanded discussion of the literature review, coverage of the four-chapter dissertation model, and more. Terrell demonstrates how to write each chapter of the proposal, including the problem statement, purpose statement, and research questions and hypotheses; literature review; and detailed plans for data collection and analysis. "Let's Start Writing" exercises serve as building blocks for drafting a complete proposal. Other user-friendly features include case-study examples from diverse disciplines, "Do You Understand?" checklists, and end-of-chapter practice tests with answers. Appendices present an exemplary proposal written three ways to demonstrate quantitative, qualitative, and mixed methods approaches, and discuss how to structure a four-chapter dissertation. New to This Edition *Introduction offering a concise overview of the entire proposal-writing process and the doctoral experience. *Additional help with tailoring problem and purpose statements for quantitative, qualitative, and mixed-methods studies. *Expanded discussion of the review of literature, including a criterion for judging the quality of primary versus secondary sources. *Many new examples from different disciplines, such as studies of depression treatments, approaches to reducing offender recidivism, health effects of irradiated crops, strength training in college football, and remote teaching and learning during COVID-19. *Focus on the five-chapter model is broadened to include specific guidance for four-chapter dissertations. *Broader, more detailed reference list and glossary.

This book explores how music can improve skills that are impaired in some neurodevelopmental disorders, including ADHD (attention deficit hyperactivity disorder), autism, and Rett syndrome. Rehabilitation interventions based on the use of music, termed "music therapy", are relatively widespread, but not all are supported by empirical evidence. This book offers readers an updated and scientifically grounded perspective on this theory and argues that music can be effective in promoting the acquisition of some basic mental abilities. Chapters present some of the latest research and data on how musical activities can lead children affected by neurodevelopmental disorders to improve those skills, including examples of training programs and exercises. The book will be a valuable resource for therapists, rehabilitators, psychologists, educators, musicians, researchers, as well as anyone interested in exploring the potential in music for human growth.

Practical Research with Children is designed to help the reader understand techniques for research with children, based on real world experience. The book describes a wide range of research methods, focusing equally on quantitative and qualitative approaches, and considers how different methods can be integrated. It highlights the benefits and challenges of each method and gives emphasis to best practice, with expert guidance on how to avoid potential pitfalls in order to obtain valuable insights into how children develop. The volume includes fifteen chapters arranged over three sections. Each chapter explores a particular method, or combination of methods, and discusses both theoretical and practical issues, using a diversity of domains, including different ages, cultures, populations and settings. Uniquely, the book includes newer methods (such as eye tracking and digital technologies) alongside well-established behavioural methods which are used for research with children. With contributions from internationally renowned researchers and practitioners from a range of disciplines, the book will be indispensable reading for a wide audience, including for students in psychology, education and nursing undertaking research projects with children, and also for anyone looking to understand the research behind current theories in child development.

This book provides an overview of the innovative, arts-based research method of body mapping and offers a snapshot of the field. The review of body mapping projects by Boydell et al. confirms the potential research and therapeutic benefits associated with body mapping. The book describes a series of body mapping research projects that focus on populations marginalised by disability, mental health status, and other vulnerable identities. Chapters focus on summarising the current state of the art and its application with marginalised groups; analytic strategies for body mapping; highlighting body mapping as a creation and a dissemination process; emerging body mapping techniques including web-based, virtual reality, and wearable technology applications; and measuring the impact of body maps on planning, practice, and behaviour. Contributors and editors include interdisciplinary experts from the fields of psychology, sociology, anthropology, and beyond. Offering innovative ways of engaging in body mapping research, which result in real-world impact, this book is an essential resource for postgraduate students and researchers.

This book explores the practice and transmission of Lacanian and Freudian theory. It discusses the pure versus applied analysis of Lacanian and Freudian theory in practice; and the hierarchical versus circular transmissions within psychoanalytic organizations. Underpinned by extensive practical knowledge of the clinic, this work examines the differences between Freud and Lacan in their understanding of the subject and the unconscious and pushes them in new directions. The book also offers an analysis and commentary of several key Lacanian texts including an accessible study of the notoriously challenging text L'etourdit. Offering both divergent and reinforcing takes on Lacan, the author explores the traits that separate out the psychoanalyst from other twentieth-century thinkers and theorists. This book offers a clear clinical picture of where Lacanian psychoanalysis is today, both in the US and internationally.

It is quite common to reflect on what startles you. In the most diverse social contexts and cultures, the inescapable physiology of the reflex both shapes the experience of startle and biases the social usage to which the reflex is put. This book describes the ways in which the reflex is experienced, culturally elaborated, and socially used, and offers explanations for both patterned commonalities found across cultures, and for the culture-typical differences which differing cultural systems engender.

Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In addition to describing how the functional relation concept may be generalized to treat probabilistic causation, the book reviews historical treatments of causation and explores recent developments in experimental psychology on studies of the perception of causation. It looks at how to perceive causal relations directly by perceiving quantities in magnitudes and motions of causes that are conserved in the effects of causal exchanges.

The author surveys the basic concepts of graph theory useful in the formulation of structural models. Focusing on SEM, he shows how to write a set of structural equations corresponding to the path diagram, describes two ways of computing variances and covariances of variables in a structural equation model, and introduces matrix equations for the general structural equation model. The text then discusses the problem of identifying a model, parameter estimation, issues involved in designing structural equation models, the application of confirmatory factor analysis, equivalent models, the use of instrumental variables to resolve issues of causal direction and mediated causation, longitudinal modeling, and nonrecursive models with loops. It also evaluates models on several dimensions and examines the polychoric and polyserial correlation coefficients and their derivation.

Covering the fundamentals of algebra and the history of causality, this book provides a solid understanding of causation, linear causal modeling, and SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models.

Methodological Problems with the Academic Sources of Popular Psychology: Context, Inference, and Measurement examines the relationship between academic and popular psychology from a critical perspective with a focus on issues of methodology. The monograph traces the path from ideas in reputable popular psychology back to the original academic research tradition from which the claims were generated. It also addresses the conceptual and methodological controversies with respect to the original research typically ignored or played down in popular writing. This book covers a range of topics including the question of universal biases in judgment, resurgent notions of "fast" thinking and a cognitive unconscious, the psychology of happiness and other "positive" psychologies, the effects of parenting on child outcomes, and more general issues related to psychological tests and measures. The methodological problems that emerge include problems with generalizing from specific experimental conditions, highly biased sampling, lack of replication of findings, lack of shared referents across subfields, even different authors, as well as confusion around basic statistical and mathematical issues. Methodological Problems with the Academic Sources of Popular Psychology: Context, Inference, and Measurement reviews these issues extensively, offering both a sense of the history and pervasiveness of these issues in the field itself and an opportunity to review and master these difficult ideas.

This book is concerned, in particular, with the research which is undertaken by healthcare practitioners and the evidence which they generate as a result of investigating their practice. In so doing it recognizes that, as well as working in academic life, practitioner researchers are often working as practitioners outside the Academy. It argues that the work of practitioner researchers has a signifi cant contribution to make to healthcare research and so needs to be disseminated further in order to create balanced research communities within the healthcare professions.It takes the view that the work of practitioner researchers has a contribution to make to the work of all people involved in healthcare helping academic researchers to broaden the limited ontological and epistemological perspectives of their research. It can also encourage healthcare practitioners who have not been trained academically to develop their research skills and to realize that they are actually researching into their practice on a day-to-day basis. Finally, it can provide a degree of transparency about therapeutic processes to help clients and patients to see aspects of professional practice and development which are usually hidden from them.The contributors cover a range of themes which address the above issues, such as the limitations of academic life and conventional medical models, ethics, the importance of imaginative writing and the use of story, metaphor, myth and the importance of personal transformation in the professional development of healthcare workers and the relevance of belief and spirituality to healthcare research.

A cognitive psychology which becomes increasingly specialized requires a special effort in order to avoid a fragmentation into several controversial issues that are independently discussed but also inherently related. Rather than asking additional differentiated questions which are then investigated by more specialized experimental methods and designs, this book promotes unified theories and a levels approach for their experimental evaluation. Within this cognitive science approach and on the basis of the most foundational assumptions of Kintsch's construction integration theory, a computational theory of knowledge acquisition is then developed and subsequently evaluated by psychological experiments.
For forty years, computer simulation techniques and experimental psychology research have greatly matured the understanding of human knowledge and its acquisition in different learning environments. This volume critically assesses the advantages and limitations of these approaches and then develops an integrated research methodology. It goes on to provide significant progress concerning the following questions:
* What are the most promising research methodologies for investigating human cognition?
* How can the experimental psychology research on text comprehension, concept formation, and memory become more closely related to one another when the very specialized research paradigms and the highly specific scientific controversies promote their separation and independent discussion?
* How can a general comprehension-based theory bridge the gap between simple experimental settings and the real-life situations that occur in education and work environments?
This book demonstrates how experimental psychology can proceed more successfully by investigating those aspects that are shared among different areas of research like text comprehension, categorization, and learning by exploration. It also shows how unified theories can assist in applying experimental psychology and cognitive science results to areas such as intelligent tutoring systems, instructional design, and the development of expert systems in complex real world domains.

*Clinically oriented: reviews the authors' proven Unified Protocol and other effective transdiagnostic treatments, illustrated with examples. *Comprehensively reviews the personality trait of neuroticism and its role in the most common issues therapists see (depression, anxiety, addiction). *Maximum efficiency: instead of dividing patients up into myriad diagnostic categories, the book explores ways to intervene in processes that many disorders share. *Broad audience, from researchers to students in clinical training programs.

Much applied research takes place as if complex social problems--and evaluations of interventions to address them--can be dealt with in a purely technical way. In contrast, this groundbreaking book offers an alternative approach that incorporates sustained, systematic reflection about researchers' values, what values research promotes, how decisions about what to value are made and by whom, and how judging the value of social interventions takes place. The authors offer practical and conceptual guidance to help researchers engage meaningfully with value conflicts and refine their capacity to engage in deliberative argumentation. Pedagogical features include a detailed evaluation case, "Bridge to Practice" exercises and annotated resources in most chapters, and an end-of-book glossary.

Case study research is a versatile approach that allows for different data sources to be combined, with its main purpose being theory development. This book goes a step further by combining different case study research designs, informed by the authors' extensive teaching and research experience. It provides an accessible introduction to case study research, familiarizes readers with different archetypical and sequenced designs, and describes these designs and their components using both real and fictional examples. It provides thought-provoking exercises, and in doing so, prepares the reader to design their own case study in a way that suits the research objective. Written for an academic audience, this book is useful for students, their supervisors and professors, and ultimately any researcher who intends to use, or is already using, the case study approach.

Psychology deals with the most complex subject matter of any science. As such, it is subject to misunderstandings, artifacts, and just simple errors of data, logic, and interpretation. This book teases out the details of some of the sources of these errors. It considers errors in psychological data and theories that arise from confusing endogenous and exogenous causal forces in perceptual research, misinterpreting the effects of inevitable natural laws as psychological phenomena, improper application of statistics and measurement, and flawed assumptions. Examples of each of these sources of error are presented and discussed. Finally, the book concludes that a return to a revitalized kind of behaviorism is preferred, rather than continuing on the current cognitive path.

This authoritative research guide uses a problem-solving approach to presenting print and electronic resources. Coverage includes: *Definition and deep background sources *Specialized dictionaries, encyclopedias, and handbooks *Current research - Journal Articles and Annual Reviews *Tests and Measures *Bibliographies *U.S. Government Resources *Biographical Resources *Directories and Organizations *Style Guides *Diagnostic Measures *Career Path and Educational Resources *Book Reviews *Major Museums and Archives

This breakthrough volume details the psychological and interpersonal skills needed to meet the practical challenges of building, developing, adapting, training, and managing multicultural global teams. Its self-regulation approach offers cognitive keys to understanding and embracing difference and its associated complexities for successful global collaborations and lasting results. From this foundation, the book moves on to the various roles of leadership in facilitating team process, from establishing trust to defusing conflicts, reducing biases, and using feedback effectively. This synthesis of research and practice effectively blends real-world experience and the science of global team leadership to address the complex issues facing modern organizations. Core skills covered by the book: Structuring successful global virtual teams. Developing cross-cultural competencies through global teams. Managing active faultlines and conflicts in global teams. Coaching global teams and global team leaders. Utilizing feedback effectively across cultures. Meeting the global need for leaders through Guided Mindfulness. Leading Global Teams is mind-opening reading for students, scholars, and practitioners in industrial and organizational psychology, organizational behavior, work psychology, and applied psychology programs looking for the most current research and best practices regarding its timely subject.

Responses to controversial exhibitions in recent years have demonstrated the dissatisfaction felt by many indigenous peoples and ethnic groups at the ways in which the western museum traditionally represented their cultures and excluded them from the process of interpretation and display. Native Americans, Aboriginal Australians, and other indigenous peoples are now demanding that human remains, sacred objects and other items of cultural property be removed from display and repatriated. Drawing upon the experiences of museum staff and communities across the globe, 'Making Representations' examines the development of new forms of museological practice. The author also examines the growth of museums, cultural centres and Aboriginal Keeping Places being established by indigenous and immigrant communities as they take control of the interpretive process and challenge the traditional role of the museum.

This edited volume seeks to critically engage with the diversity of feminist and post-colonial theory to counter hegemonic Western knowledge in mainstream community psychology. In doing so, it situates paradigms of thought and representation that capture the lived experiences of those in the global South. Specifically, the book takes an intersectional approach towards its reshaping of community psychology, centering African, black, postcolonial, and decolonial feminist critiques in its 1) critique of existing hegemonic Euro-American community psychology concepts, theories, and practice, 2) proposal of new feminist, indigenous, and decolonial methodological approaches, and 3) real-life examples of engagement, research, dialogue, and reflexive qualitative psychology practice. The book concludes with an agenda for theorization and research for future practice in postcolonial contexts. The volume is relevant to researchers, practitioners, and students in psychology, anthropology, sociology, public health, development studies, social work, urban studies, and women's and gender studies across global contexts.

Through a multi-methodology approach, Principles and Methods of Social Research, Fourth Edition covers the latest research techniques and designs and guides readers toward the design and conduct of social research from the ground up. Applauded for its comprehensive coverage, the breadth and depth of content of this new edition is unparalleled. Explained with updated applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters cover topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. The book has chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis to cover these essential methodologies. Notable features include an emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation; use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs; and coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly. The new edition features: Increased attention to the distinction between conceptual replication and exact replication and how each contributes to cumulative science. Updated research examples that clarify the operation of various research design operations. More learning tools including more explanation of the basic concepts, more research examples, and more tables and figures, such as additional illustrations to include internet content like social media. Extensive revisions and expansions of all chapters. A fuller discussion of the dangers of unethical treatment to research participants. Principles and Methods of Social Research, Fourth Edition is intended for graduate or advanced undergraduate courses in research methods in psychology, communication, sociology, education, public health, and marketing, and further appeals to researchers in various fields of social research, such as social psychology and communication.

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: * Formulation of the problem * Stipulation of the precision requirements * Selecting the statistical model for the planning and analysis * The (optimal) design of the experiment or survey * Performing the experiment or the survey * Statistical analysis of the observed results * Interpretation of the results.