A focused look at the usesand misusesof psychological tests in the context of child custody This book presents an advanced examination of psychological testing and usage in the child custody arena. It addresses test selection issues, provides insightful discussions of how to confront confirmatory biases and avoid the distortion of test findings, and presents clear instructions for the use of specific tests, including MMPI-2 and Rorschach, and a point/counterpoint discussion of the strengths and weaknesses of the Ackerman-Schoendorf Scales for Parent Evaluation of Custody (ASPECT). Psychological Testing in Child Custody Evaluations can be viewed as a work in three parts. The first section addresses theoretical and test usage issues, with chapters focusing on: addressing test selection issues from legal and psychological perspectives bias issues that interfere with the evaluator's ability to collect and consider data objectively a functional, comprehensive approach to the use of psychological tests in a child custody evaluationwith a conceptual framework for choosing assessment techniques to assess parenting competencies and other variables important in forming opinions about custodial placement and visitation access, and a practical example of how to present psychological test data in an advisory report to the court a look at psychological testing from an attorney's point of view The second section of Psychological Testing in Child Custody Evaluations focuses on the MMPI-2 and the Rorschach Inkblot Test in the child custody context, investigating hypotheses that can be inferred from the MMPI-2 regarding parenting behaviors, and the use and value of the Rorschach. This section examines: the foundation from which the MMPI-2 can generate expectations regarding five basic issuesthe quality of attachment and bonding, potential for antisocial behavior, temper control, alienation of affection, and chemical abuse and dependence the range of variables that will generate useful hypotheses regarding parent-child interactions and family systems the effects of the circumstances of litigation on score elevationsincluding recommended limits as to how much elevation can be dismissed as only contextual the important differences between occasion validity and attribute validity the clinical application of an objective interpretation system, including the courtroom credibility of explicit convergent validity the use of the Rorschach in child custody evaluations findings from a study using the Rorschach to address specific parenting variables The third section of Psychological Testing in Child Custody Evaluations is a focused point-counterpoint discussion of ASPECT, between test creator Marc J. Ackerman and Mary Connell, President of the American Academy of Forensic Psychology. This book is essential reading for child custody evaluators, family law attorneys, and judges practicing in the family law arena, as well as educators and students in these fields.

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.

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.

*First Bayesian SEM book specifically for social science researchers, not advanced statisticians; a strong background in calculus is not needed. *Engaging, worked-through examples help highlight problems that can arise during estimation, explore solutions, and provide guidance for writing up findings. *User-friendly features include take-home points, tips, warnings, sample data analysis plans, and more. *Each chapter contains excerpts of annotated code in both Mplus and R; the companion website supplies datasets, code, and output for all of the book's examples.

Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences.

Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background.

Highlights of the new edition include:

• More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings.
• Greater emphasis on the use of R packages; readers can download the R code from the Routledge website.
• Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4).
• A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6).
• Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10).

Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.

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 volume provides an in-depth examination of traditional and emerging measures of attachment behavior and representations from infancy to adulthood. Leading authorities share their expertise on the Strange Situation, the Attachment Q-set, Ainsworth's Maternal Sensitivity Scales, the Adult Attachment Interview, the Attachment Script Assessments, and the Adult Attachment Projective Picture System, as well as analogue and experimental methods. The book clarifies the conceptual and empirical underpinnings of the various measures and shows how they fit into a coherent developmental framework. Offering detailed discussions of key constructs such as attachment security, the secure base phenomenon, disorganization, and narrative structure, this is a valuable resource for both researchers and practitioners who use attachment assessments in their work.

This book provides an alternative method for measuring individual differences in psychological, educational, and other behavioral sciences studies. It is based on the assumptions of ordinal statistics as explained in Norman Cliff's 1996 "Ordinal Methods for Behavioral Data Analysis." It provides the necessary background on ordinal measurement to permit its use to assess psychological and psychophysical tests and scales and interpret the data obtained. The authors believe that some of the behavioral measurement models used today do not fit the data or are inherently self-contradictory. Applications of these models can therefore lead to unwarranted inferences regarding the status of the derived variables. These methods can also be difficult to apply, particularly in small-sample contexts without making additional, unrealistic assumptions. Ordinal methods more closely reflect the original data, are simple to apply, and can be used in samples of any size. The book's approach is in essence a return to simple empiricism in psychological measurement.
"Ordinal Measurement in the Behavioral Sciences" provides:
*methods for analyzing test responses;
*extensive discussions of ordinal approaches to analyzing data that are judgments of stimuli;
*methods for treating psychological data in ways consistent with its ordinal nature so as to stimulate new developments in this area; and
*ordinal test theory and the unfolding methods that are applicable to cross-cultural studies.
Advanced students, researchers, and practitioners concerned with psychological measurement should find this book relevant. Measurement professionals will find it provides useful and simple methods that stimulate thought about measurement's real issues.

This edited volume presents a balanced approach to the ongoing debate of just how general the "general factor" of intelligence is. To accomplish this goal, the editors chose a number of distinct approaches to the study of intelligence--psychometric, genetic-epistemological, cognitive, biological, behavior-genetic, sociocultural, systems--and asked distinguished scholars to write from the standpoint of these approaches. Each approach comprises two chapters, one by a scholar leaning toward a view arguing for the greater generality of "g," and the other by a scholar leaning toward a view arguing for the lesser generality of "g." The scholars are not simply "for" or "against" these outlooks, rather they provide a more textured view of the general factor, attempting to explain it in psychological terms that are easily understandable.
Intended for psychologists in all areas, including clinical, consulting, educational, cognitive, school, developmental, and industrial-organizational, this book will also be of interest to educators, sociologists, anthropologists, and those interested in the nature of intelligence.

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.

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 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.

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.

El objetivo del libro es proporcionar a los lectores las herramientas necesarias para evaluar la calidad psicome trica de las medidas educativas y psicolo gicas, asi como de encuestas y cuestionarios. Cada capi tulo aborda un tema relativo a la pra ctica psicome trica y de la medida, con e nfasis en la aplicacio n. Los temas sera n tratados brevemente desde una perspectiva teo rica/te cnica con el fin de proporcionar al lector los antecedentes necesarios para utilizar e interpretar correctamente los ana lisis estadi sticos que se presentara n con posteriormente. Este libro esta dirigido a investigadores, profesionales y estudiantes de posgrado (Ma ster y Doctorado) que buscan una gui a para realizar ana lisis psicome tricos de diferentes instrumentos de evaluacio n. Asumimos un nivel ba sico de conocimientos estadi sticos, pero estos conceptos se ira n repasando a lo largo de los diferentes capi tulos. Nos imaginamos que este texto (a) esperara pacientemente en algunos despachos implorando ser entregado, como recurso, a un estudiante, (b) tendra un lugar fijo en las mesas de los despachos donde continuamente, y debido a su uso diario, sera el primero del monto n, (c) estara en las mochilas de los estudiantes de postgrado, y los acompan ara felizmente desde casa al trabajo o a las clases y vuelta, (d) aparecera orgullosamente como un texto de referencia en los programas y guia s de estudio, y finalmente (e) como ocasional posavasos mientras se reflexiona profundamente acerca de co mo resolver los problemas de medida. Esperamos que a trave s de estos usos, sobre todo el u ltimo, aportar algu n conocimiento y ayuda que permita a los lectores aplicar adecuadamente las te cnicas y los conceptos abordados en este manual. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. The anticipated audience for this book includes researchers, practitioners, and graduate students searching for a guide to perform common psychometric analyses on various assessments, as discussed in many psychometric texts. We envision that this text will (a) patiently wait on some office shelves begging to be handed to a student as a resource, (b) have a permanent home on desks where it continually rises to the top of the stacks for daily use of the applied researcher, (c) be happily carried in bags to and from work and class by the graduate student learning techniques, (d) be listed proudly as a reference text on syllabi, and finally (e) as an occasional drink coaster while deep thoughts are pondered about how to solve measurement problems. We hope that through such uses, particularly the latter, that we have provided some insight and assistance to the user in appropriately applying the techniques and concepts discussed.

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.

This is the first practitioner-oriented guide to basic psychometrics--the science behind test construction and validation. It is an essential course text and clinical reference for anyone who needs to select and administer diagnostic tests or review test score data obtained by others. Without assuming any mathematical background, the author describes the fundamentals of diagnostic testing, how to interpret score data, and how specific tests are used in school psychology, special education, counseling, and other contexts. Concepts such as reliability, validity, and fairness and test bias are explained in an accessible, conversational way. Detailed case examples illustrate the dos and don'ts of presenting test score data to clients, parents, and teachers in oral feedback and written reports. Pedagogical Features: *End-of-chapter exercises that emphasize application and understanding, with answers at the end of the book. *Key terms are bolded throughout and accessibly explained in the end-of-book glossary. *Resource appendix--annotated guide to articles and books on more advanced topics in psychometrics, assessment, and testing.

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.

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

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

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

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

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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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 comprehensive volume is widely regarded as the definitive practitioner resource and text in the field of biofeedback and applied psychophysiology. Leading experts cover basic concepts, assessment, instrumentation, clinical procedures, and professional issues. Chapters describe how traditional and cutting-edge methods are applied in treatment of a wide range of disorders, including headaches, temporomandibular disorders, essential hypertension, pelvic floor disorders, attention-deficit/hyperactivity disorder, tinnitus, and others. Applications for optimizing physical performance among artists and athletes are also reviewed. A wealth of information and empirical research is presented in an accessible style, including helpful glossaries. New to This Edition *Incorporates significant technological developments and new research areas. *Expanded focus on specialized applications, such as electroencephalographic (EEG) biofeedback/neurofeedback and heart rate variability biofeedback. *Chapters on surface electromyography, quantitative EEG, and consumer products. *Chapters on cognitive-behavioral therapy and relaxation training. *Chapters on additional clinical problems: anxiety disorders, asthma, work-related pain, traumatic brain injury, autism spectrum disorders, and substance use disorders.