This book provides an in-depth examination of psychosocial marital well-being and mental health in traditional communities in Rwanda. It presents rich qualitative research conducted with men, women and elders, highlighting both the issues impacting on marital conflict and domestic violence, and also how potential solutions might be drawn from traditional practices. In doing, so it provides a unique resource for researchers and policymakers seeking to develop evidence-based and culturally-informed mental health and psychosocial support interventions in low and middle income countries. It will appeal in particular to those working the fields of public health, family psychology, social work, cross-cultural psychology and qualitative methodology.

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.

Research Design for the Behavioral Sciences fills an important gap for the helping professions by offering a blueprint for advanced concepts and an applied approach to understanding quantitative, qualitative, and mixed methods research design. This graduate-level text seamlessly weaves together the philosophy, science, and practical application of the most common methodological frameworks in practice. Advanced research design concepts are presented through clear and in-depth blueprints, applied case studies, myriad examples, and helpful learning activities.Written in detailed yet accessible language, this text describes the foundations of behavioral science research. The authors explore research-based philosophical integration, along with the technical application of every tradition. Through this philosophical and pragmatic approach, students will be able to attain a well-rounded and comprehensive understanding of behavioral science research. This text provides students with the opportunity to reach a greater level of research efficacy though the inclusion of methodological procedures, data analysis methods, reliability/validity standards, ethics, and directions on how to increase the rigor of each approach to research. Instructor resources include an instructor's manual, learning activities, test bank, and PowerPoints. Purchase includes digital access for use on most mobile devices and computers. Key Features: Provides clear, detailed, and contextually accurate examples of writing, quantitative, qualitative, and mixed methods procedures Reviews the paradigmatic hierarchy of each research tradition along with key analytic features in detail Delivers instructions for enhancing the methodological rigor of each approach Analyzes methodology-specific multicultural issues Demonstrates the application of a wide range of research methodologies with case studies Reviews the trends and history in research for counseling, psychology, social work, and marriage and family therapy Offers comprehensive instructor resources including manual, learning activities, test bank, and PowerPoint slides

Today, information is very important for businesses. Businesses that use information correctly are successful while those that don't, decline. Social media is an important source of data. This data brings us to social media analytics. Surveys are no longer the only way to hear the voice of consumers. With the data obtained from social media platforms, businesses can devise marketing strategies. It provides a better understanding consumer behavior. As consumers are at the center of all business activities, it is unrealistic to succeed without understanding consumption patterns. Social media analytics is useful, especially for marketers. Marketers can evaluate the data to make strategic marketing plans. Social media analytics and consumer behavior are two important issues that need to be addressed together. The book differs in that it handles social media analytics from a different perspective. It is planned that social media analytics will be discussed in detail in terms of consumer behavior in the book. The book will be useful to the students, businesses, and marketers in many aspects.

PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." - Susanne Quadflieg, University of Bristol

This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.

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.

D-scoring Method of Measurement presents a unified framework of classical and latent measurement referred to as D-scoring method of measurement (DSM). Provided are detailed descriptions of DSM procedures and illustrative examples of how to apply the DSM in various scenarios of measurement. The DSM is designed to combine merits of the traditional CTT and IRT for the purpose of transparency, ease of interpretations, computational simplicity of test scoring and scaling, and practical efficiency, particularly in large-scale assessments. Through detailed descriptions of DSM procedures, this book shows how practical applications of such procedures are facilitated by the inclusion of operationalized guidance for their execution using the computer program DELTA for DSM-based scoring, equating, and item analysis of test data. In doing so, the book shows how DSM procedures can be readily translated into computer source codes for other popular software packages such as R. D-scoring Method of Measurement equips researchers and practitioners in the field of educational and psychological measurement with a comprehensive understanding of the DSM as a unified framework of classical and latent scoring, equating, and psychometric analysis.

Designed to complement the Mental Measurements Yearbooks, Tests in Print fills a pressing need for a comprehensive bibliography of commercially available English language tests. Although these volumes are useful in and of themselves, their maximum usefulness requires the availability and use of the Mental Measurements Yearbooks. Information on available tests and specific test bibliographies are valuable, but the greatest service Tests in Print can perform is to encourage test users to choose tests more wisely by consulting Mental Measurements Yearbooks test reviews; test reviews from journals; and professional literature on the construction, use, and psychometric properties of tests under consideration. Tests in Print X contains descriptive information on approximately 2,300 testing instruments. Detailed descriptions of each test include data on test purpose, target population, scores, administration time, publication date(s), author(s), and pricing. Indexes of test titles, publishers, acronyms, and subject classifications are provided as well as notations on hundreds of out-of-print tests. Tests in Print X provides specific information about testing required by professionals in diverse areas such as education, psychology, counseling, management, career planning, child development, and research. It also serves as a comprehensive index to the Mental Measurements Yearbook series by directing readers to the appropriate volume for reviews of specific tests.

Based on a collection of chapters of leading scholars in the field, the purpose of this book is to intervene in current debates on the scientific foundation of psychological theory, methodology and research practice, and to offer an in-depth, situated and contextual understanding of psychological generalization. This book aims to contribute to a theoretical and methodological vocabulary which includes the subjective dimension of human life in psychological inquiry, and roots processes of generalization in persons' common, social, cultural and material practices of everyday living. The volume is directed to students, professors, and researchers in psychology as well as to scholars in other branches of the humanities and social science where psychology and especially subjectivity, everyday practice and the development of psychological knowledge is an issue. The volume will be of particular interest to scholars in the field of cultural psychology, critical psychology, psychology of everyday life as well as psychological methodology and qualitative studies of everyday life including the various critical undergraduate, graduate, master, and PhD programs. The book will also be of special interest for scholars working in social psychology, history of psychology, general psychology, theoretical psychology, environmental psychology and political psychology.

Advancing Natural Language Processing in Educational Assessment examines the use of natural language technology in educational testing, measurement, and assessment. Recent developments in natural language processing (NLP) have enabled large-scale educational applications, though scholars and professionals may lack a shared understanding of the strengths and limitations of NLP in assessment as well as the challenges that testing organizations face in implementation. This first-of-its-kind book provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring, language proficiency assessment, technology-assisted item generation, gamification, learner feedback, and beyond. Spanning historical context, validity and fairness issues, emerging technologies, and implications for feedback and personalization, these chapters represent the most robust treatment yet about NLP for education measurement researchers, psychometricians, testing professionals, and policymakers.

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

This open access book presents a large number of innovations in the world of operational testing. It brings together different but related areas and provides insight in their possibilities, their advantages and drawbacks. The book not only addresses improvements in the quality of educational measurement, innovations in (inter)national large scale assessments, but also several advances in psychometrics and improvements in computerized adaptive testing, and it also offers examples on the impact of new technology in assessment. Due to its nature, the book will appeal to a broad audience within the educational measurement community. It contributes to both theoretical knowledge and also pays attention to practical implementation of innovations in testing technology.

Group Psychotherapy Assessment and Practice is the definitive guide to assessment in group therapy, offering the reader a means to understand and implement group therapy screening, process, and outcome tools. Geared to group psychotherapists as well as academics, this state-of-the-art text provides the reader with a framework to support and augment clinical judgment as part of routine clinical practice. It demonstrates how utilizing measurement-based care collaboratively with clients can help maximize therapeutic processes and mechanisms of change. This book shows how measures can improve the detection of client worsening and prevent premature dropout - two factors that contribute greatly to our duty to client care. Leading experts in the field provide examples of new measures that can enhance multicultural training and group leader cultural sensitivity, illustrating how awareness of diversity can enhance clinical practice and provide more contextually responsive treatment. Examples of cross-cultural adaptations of measurement are also included that place group therapy assessment within an international framework. This modern guide provides practical tools such as handouts, measures to aid in member selection, and methods of tracking progress and outcome to strengthen the group leader's effectiveness.

Group Psychotherapy Assessment and Practice is the definitive guide to assessment in group therapy, offering the reader a means to understand and implement group therapy screening, process, and outcome tools. Geared to group psychotherapists as well as academics, this state-of-the-art text provides the reader with a framework to support and augment clinical judgment as part of routine clinical practice. It demonstrates how utilizing measurement-based care collaboratively with clients can help maximize therapeutic processes and mechanisms of change. This book shows how measures can improve the detection of client worsening and prevent premature dropout - two factors that contribute greatly to our duty to client care. Leading experts in the field provide examples of new measures that can enhance multicultural training and group leader cultural sensitivity, illustrating how awareness of diversity can enhance clinical practice and provide more contextually responsive treatment. Examples of cross-cultural adaptations of measurement are also included that place group therapy assessment within an international framework. This modern guide provides practical tools such as handouts, measures to aid in member selection, and methods of tracking progress and outcome to strengthen the group leader's effectiveness.

Constructing Measures introduces a way to understand the advantages and disadvantages of measurement instruments. It explains the ways to use such instruments, and how to apply these methods to develop new instruments or adapt old ones, based on item response modeling and construct references. Now in its second edition, this book focuses on the steps taken while constructing an instrument, and breaks down the "building blocks" that make up an instrument-the construct map, the design plan for the items, the outcome space, and the statistical measurement model. The material covers a variety of item formats, including multiple-choice, open-ended, and performance items, projects, portfolios, Likert and Guttman items, behavioral observations, and interview protocols. Each chapter includes an overview of the key concepts, related resources for further investigation, and exercises and activities. A variety of examples from the behavioral and social sciences and education-including achievement and performance testing, attitude measures, health measures, and general sociological scales-demonstrate the application of the material. Accompanying downloadable resources feature control files, output, and a data set to allow readers to compute the text's exercises and create new analyses and case archives based on the book's examples so the reader can work through the entire development of an instrument. New to this edition are additional example contexts including a cognitive/achievement example, an attitude example, and a behavioral example; new concentrations on specific measurement issues and practices such as standard-setting, computer-delivery and reporting, and going beyond the Likert response format; and updated online resource with new materials, such as selected research articles with data sets and teaching resources like a syllabus and PowerPoint slides. Constructing Measures is an invaluable text for undergraduate and graduate courses on item, test, or instrument development; measurement; item response theory; or Rasch analysis taught in a variety of departments including education, statistics, and psychology. The book also appeals to practitioners who develop instruments, including industrial/organizational, educational, and school psychologists; health outcomes researchers; program evaluators; and sociological measurers.

The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.

This pioneering monograph examines how culture informs popular understandings and experiences of mental health in East Asia, as well as providing resolutions for the future. Questions about mental health problems have gained new urgency as their consequences are growing more visible in East Asia. Yet, our understanding, funding, and evidence has not kept pace. Anson Au explores the social and psychological concepts, and network structures that make up the blueprint of East Asian cultures and untangles their myriad of influences on how people think, feel, and trust with respect to mental health experiences. Chapters explore themes such as cultural beliefs about mental health, the role of social support and social media, and mental health stigma. Drawing on the latest quantitative evidence, network science, and novel qualitative data, this book paints a portrait of mental health in the region and articulates culturally sensitive policies and practices tailored for East Asian cultures that improve mental health experiences.

This comprehensive book is an introduction to multilevel Bayesian models in R using brms and the Stan programming language. Featuring a series of fully worked analyses of repeated-measures data, focus is placed on active learning through the analyses of the progressively more complicated models presented throughout the book. In this book, the authors offer an introduction to statistics entirely focused on repeated measures data beginning with very simple two-group comparisons and ending with multinomial regression models with many 'random effects'. Across 13 well-structured chapters, readers are provided with all the code necessary to run all the analyses and make all the plots in the book, as well as useful examples of how to interpret and write-up their own analyses. This book provides an accessible introduction for readers in any field, with any level of statistical background. Senior undergraduate students, graduate students, and experienced researchers looking to 'translate' their skills with more traditional models to a Bayesian framework, will benefit greatly from the lessons in this text.

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with significantly updated discussions of effect size and meta-analysis, this Eighth Edition continues to focus on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

Ideal for experienced students and researchers in the social sciences who wish to refresh or extend their understanding of statistics, and to apply advanced statistical procedures using SPSS or R. Key theory is reviewed and illustrated with examples of how to apply these concepts using real data. The proposed book will bridge the gap between the undergraduate and postgraduate levels, providing readers with a refresher of the skills they have learnt previously and then progressing to more advanced statistical methods. Wide coverage of methods in one single book, which will appeal to a range of researchers.

An Introduction to Psychometrics and Psychological Assessment is the successor to Cooper's prize-winning book and shows how psychological questionnaires and tests can be chosen, administered, scored, interpreted and developed. In providing students, researchers, test users, test developers and practitioners in the social sciences, education and health with an evaluative guide to choosing, using, interpreting and developing tests, it provides readers a thorough grasp of the principles (and limitations) of testing, together with the necessary methodological detail. This book has three distinctive features. First, it stresses the basic logic of psychological assessment without getting bogged down with mathematics; the spreadsheet simulations and utilities which are integrated into the text allow users to explore how numbers behave, rather than reading equations. Readers will "learn by doing". Second, it covers both the theory behind psychological assessment and the practicalities of locating, designing and using tests and interpreting their scores. Finally, it is evaluative. Rather than just describing concepts such as test reliability or adaptive testing, it stresses the underlying principles, merits and drawbacks of each approach to assessment, and methods of developing and evaluating questionnaires and tests. Unusually for an introductory text, it includes coverage of several cutting-edge techniques, and this new edition expands the discussion on measurement invariance, methods of detecting/quantifying bias and hierarchical factor models, and features added sections on: -Best practices for translation of tests into other languages and problems of cultural bias - Automatic item generation - The advantages, drawbacks and practicalities of internet-based testing - Generalizability theory - Network analysis - Dangerous assumptions made when scoring tests - The accuracy of tests used for assessing individuals - The two-way relationship between psychometrics and psychological theory. Aimed at non-mathematicians, this friendly and engaging text will help you to understand the fundamental principles of psychometrics that underpin the measurement of any human characteristic using any psychological test. Written by a leading figure in the field and accompanied by additional resources, including a set of spreadsheets which use simulated data and other techniques to illustrate important issues, this is an essential introduction for all students of psychology and related disciplines. It assumes very little statistical background and is written for students studying psychological assessment or psychometrics, and for researchers and practitioners who use questionnaires and tests to measure personality, cognitive abilities, educational attainment, mood or motivation.

This book explores how philosophical realisms relate to psychoanalytical conceptions of the Real, and in turn how the Lacanian framework challenges basic philosophical notions of object and reality. The author examines how contemporary psychoanalysis might respond to the question of ontology by taking advantage of the recent revitalization of realism in its speculative form. While the philosophical side of the debate makes a plea for an independent ontological consistency of the Real, this book proposes a Lacanian reassessment of the definition of the Real as 'what is foreign to subjectivity itself'. In doing so, it reframes the question of the Real in terms of what is already there beneath the supposedly linguistic constitution of subjectivity. The book then goes on to engage the problem of cognition in the realm of Nature qua materiality, focusing on the centrality of the body as a linguistic-material hybrid. It argues that it is possible to re-establish the theoretical dignity of Ricoeur's notion of 'suspicion', by building a dialogue between Lacanian psychoanalysis and three main domains of inquiry: desire, objects and bodily enjoyment. Borrowing from Piera Aulagnier's theory of the Other as a word-bearer, it considers the genesis of desire and sense of reality both explainable through a hybrid framework which comprises psychoanalytical insights and material dynamics in a comprehensive account. This created theoretical space is an opportunity for both philosophers and psychoanalysts to rethink key Lacanian insights in light of the problem of the Real.

This book is a valuable historical record of how counselling psychologists responded to the COVID-19 pandemic around the globe. Volume II presents 17 chapters that address four major topic areas. In the first, the chapters focus on training and supervision: during the pandemic, most on-site training and supervision had to be discontinued to prevent spread of the virus. However, many trainers and training programs found creative ways to continue to provide training opportunities to their trainees. The second focus is on the populations who may require specialty care during times of such upheaval, such as those with psychosis and serious mental illness. In the third part, the chapters speak to the pandemic across cultures, as well as its effects on clients from underrepresented groups. Finally, three chapters present research perspectives on the pandemic. Written by prominent researchers and clinicians in the field of counselling and psychotherapy, both the volumes together cover a wide range of perspectives and offer useful clinical recommendations related to effective telepsychotherapy practice. The chapters in these volumes were originally published as a special issue of Counselling Psychology Quarterly.