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.

The comprehensive reference for informative WISC-V assessment Essentials of WISC-V Assessmentprovides step-by-step guidance for administering, scoring, and interpreting the Wechsler Intelligence Scale for Children (WISC-V). Packed with practical tips for more accurate assessment, this informative guide includes numerous case studies that illustrate a range of real-world issues. Special attention is devoted to the assessment of individuals who have significant learning difficulties, such as learning disabilities, and who speak English as a second language. The WISC-V is a valuable assessment tool, but it must be administered and scored appropriately to gain meaning from score interpretation. This book gives you an in-depth understanding of the WISC-V assessment and interpretive process to assist practitioners in: * Conducting efficient and informative WISC-V assessments * Utilizing WISC-V in cross-battery and neuropsychological assessment * Applying WISC-V in the identification of specific learning disabilities * Utilizing WISC-V in nondiscriminatory assessment of English language learners * Writing theory-based WISC-V reports * Linking WISC-V findings to interventions based on individual performance As the world's most widely-used intelligence test for children, the WISC-V is useful in diagnosing intellectual disabilities and specific learning disabilities, as well as in identifying giftedness. In this volume, sample reports demonstrate how WISC-V assessment results may be linked to interventions, accommodations, modifications, and compensatory strategies that facilitate positive outcomes for children. Essentials of WISC-V Assessment is the all-in-one practical resource for both students and practitioners. The book can be used on its own or with companion software (purchased separately) that provides a user-friendly tool for producing psychometrically and theoretically defensible interpretations of WISC-V performance, and may be used to develop interventions based on each child's strengths and weaknesses.

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.

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.

A Practical Guide to Teaching Research Methods in Education brings together more than 60 faculty experts. The contributors share detailed lesson plans about selected research concepts or skills in education and related disciplines, as well as discussions of the intellectual preparation needed to effectively teach the lesson. Grounded in the wisdom of practice from exemplary and award-winning faculty from diverse institution types, career stages, and demographic backgrounds, this book draws on both the practical and cognitive elements of teaching educational (and related) research to students in higher education today. The book is divided into eight sections, covering the following key elements within education (and related) research: problems and research questions, literature reviews and theoretical frameworks, research design, quantitative methods, qualitative methods, mixed methods, findings and discussions, and special topics, such as student identity development, community and policy engaged research, and research dissemination. Within each section, individual chapters specifically focus on skills and perspectives needed to navigate the complexities of educational research. The concluding chapter reflects on how teachers of research also need to be learners of research, as faculty continuously strive for mastery, identity, and creativity in how they guide our next generation of knowledge producers through the research process. Undergraduate and graduate professors of education (and related) research courses, dissertation chairs/committee members, faculty development staff members, and graduate students would all benefit from the lessons and expert commentary contained in this book.

Early Psychological Research Contributions from Women of Color, Volume I, collects the dissertations of 20 cultural pioneers: women of color who were among the first to earn their doctorate degrees in psychology. Collectively, these chapters offer an important resource to diversify the history of psychology. This book is structured so that each chapter provides a biographical sketch of the woman, a summary of the dissertation, a reproducibility critique, a discussion about a modern alternative theory or methodological approach associated with the work (feminist theory, ethnopsychology, liberation psychology, etc.), and examples of how the dissertation can be used as instructional content in psychology and related disciplines offers suggestions for classroom use. The dissertations were completed as early as 1912 and as late as 1979 with the range reflecting differences in when women of certain groups could access education. The topics also range broadly across the breadth of the field of psychology, including physiological, cognitive, developmental, social, clinical, and more topics. The diversity of the work collected here will allow this book to be used to augment coursework either as a complete collection or as individual chapters. Instructors and students in undergraduate and graduate Research Methods courses will find this a crucial text in maintaining a true and inclusive historical perspective of psychological research. Additionally, due to the inclusion of research spanning the breadth of Psychology, this edited volume will appeal to scholars both across the discipline and in related fields, such as Women's Studies, Cognitive Science, Education, and Cultural Studies.

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models through incremental steps with increasing complexity -Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding. - Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time

Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.

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.

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.

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.

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

Primatology, Ethics and Trauma offers an analytical re-examination of the research conducted into the linguistic abilities of the Oklahoma chimpanzees, uncovering the historical reality of the research. It has been 50 years since the first language experiments on chimpanzees. Robert Ingersoll was one of the researchers from 1975 to 1983. He is well known for being one of the main carers and best friend of the chimpanzee, Nim Chimpsky, but there were other chimpanzees in the University of Oklahoma's Institute for Primate Studies, including Washoe, Moja, Kelly, Booee, and Onan, who were taught sign language in the quest to discover whether language is learned or innate in humans. Antonina Anna Scarna's expertise in language acquisition and neuroscience offers a vehicle for critical evaluation of those studies. Ingersoll and Scarna investigate how this research failed to address the emotional needs of the animals. Research into trauma has made scientific advances since those studies. It is time to consider the research from a different perspective, examining the neglect and cruelty that was inflicted on those animals in the name of psychological science. This book re-examines those cases, addressing directly the suffering and traumatic experiences endured by the captive chimpanzees, in particular the female chimpanzee, Washoe, and her resultant inability to be a competent mother. The book discusses the unethical nature of the studies in the context of recent research on trauma and offers a specific and direct psychological message, proposing to finally close the door on the language side of these chimpanzee studies. This book is a novel and groundbreaking account. It will be of interest to lay readers and academics alike. Those working as research, experimental, and clinical psychologists will find this book of interest, as will psychotherapists, linguists, anthropologists, historians of science and primatologists, as well as those involved in primate sanctuary and conservation.

Tackles a topic in a concise and accessible way that most believe too advanced to pick up easily. Author has over 40 years teaching and industry experience which they utilize in this book. Contains an appendix with extended code and examples of topics discussed in text.

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum. For more information, including a sample chapter and software, please visit the authors' website.

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.

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear regression model. The book compares both hierarchical and spatial econometric modelling, providing both a reference and a teaching text with exercises in each chapter. The book provides a fully Bayesian, self-contained, treatment of the underlying statistical theory, with chapters dedicated to substantive applications. The book includes WinBUGS code and R code and all datasets are available online. Part I covers fundamental issues arising when modelling spatial and spatial-temporal data. Part II focuses on modelling cross-sectional spatial data and begins by describing exploratory methods that help guide the modelling process. There are then two theoretical chapters on Bayesian models and a chapter of applications. Two chapters follow on spatial econometric modelling, one describing different models, the other substantive applications. Part III discusses modelling spatial-temporal data, first introducing models for time series data. Exploratory methods for detecting different types of space-time interaction are presented, followed by two chapters on the theory of space-time separable (without space-time interaction) and inseparable (with space-time interaction) models. An applications chapter includes: the evaluation of a policy intervention; analysing the temporal dynamics of crime hotspots; chronic disease surveillance; and testing for evidence of spatial spillovers in the spread of an infectious disease. A final chapter suggests some future directions and challenges. Robert Haining is Emeritus Professor in Human Geography, University of Cambridge, England. He is the author of Spatial Data Analysis in the Social and Environmental Sciences (1990) and Spatial Data Analysis: Theory and Practice (2003). He is a Fellow of the RGS-IBG and of the Academy of Social Sciences. Guangquan Li is Senior Lecturer in Statistics in the Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle, England. His research includes the development and application of Bayesian methods in the social and health sciences. He is a Fellow of the Royal Statistical Society.

Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.

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.

* A new approach that breaks new ground using psychophysics and mathematics in order to investigate human interaction * Identifies the critical direction of change, and the means to achieve it, in order to maintain a stable social environment that is going to require testable and provable theories that apply to our social space and the various cultures and groups that exist within it * An important text for graduate and advanced undergraduate students or classes, along with private and government analysts all operating within the areas of political theory, detection theory, social psychology, organizational behavior, psychophysics, and applied mathematics in the social and information sciences

Are you a programmer who wants to get started quickly in a new language? This book is for you. Are you a novice who wants to learn to program? This book is not for you. Are you a Python programmer who needs encyclopaedic information? This book is not for you. Like any mainstream language, Python has loops, if statements, assignment statements, functions, etc. I'll show you what these look like in Python. I won't waste your time telling you what they're good for. Python has features you may not be familiar with--iterators, list comprehensions, maybe even dictionaries. I'll spend more time on these. I'll cover some of the library functions I found most immediately useful, and tell you where to find more. In short, this book will help you hit the ground running. Next week, you'll be ready to buy that Python encyclopaedia.

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

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.