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.

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.

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 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.

In the eleventh edition of Understanding Research Methods: An Overview of the Essentials, Newhart and Patten leverage the principles of learning and content design to present the fundamentals students need to get started in research. Basics of quantitative and qualitative research are covered in short, independent topics and grouped into meaningful sections. A perennial bestseller for over ten editions, Understanding Research Methods focuses concisely on key concepts, and lessons in topics that are "chunked" to suit today's students. Each topic ends with suggestions for planning a research project by answering topic-specific prompts in a research planning journal. Topic Review exercises encourage active learning. Finally, Topics for Discussion suggest open-ended prompts that could serve as conversation starters in the classroom or online. The final Part of the book offers guidance and activities specific to writing a research report. This section can be used to support the development of project-based assignments for courses, or it can be used independently to support senior thesis projects, master's theses, dissertations, or articles for publication. Instructors, will appreciate the organization of Understanding Research Methods because it allows a great deal of customization and choice in which topics to cover and in what order to cover them, making it suitable for methodological training in a variety of courses and fields of study. Online digital materials support course development. New to this edition: Part introductions now include a part table of contents and list of keywords Newly expanded coverage of qualitative research New coverage on designing quantitative research Expanded material on sampling More simple graphs, charts, and illustrations emphasize and visualize Topic key points

This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers' inadequate mastery of the statistical methods and procedures they use for their data analysis. The author's solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists. The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues' possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitive nature of statistics are discussed. The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.

This book sheds new light on the life and the influence of one of the most significant critical thinkers in psychology of the last century, Theodore R. Sarbin (1911-2005). In the first section authors provide a comprehensive account of Sarbin's life and career. The second section consists in a collection of ten publications from the last two decades of his career. The essays cover topics such as the adoption of contextualism as the appropriate world view for psychology, the establishment of narrative psychology as a major mode of inquiry, and the rejection both mechanism and mentalism as suitable approaches for psychology. The book is historically informed and yet focused on the future of psychological theory and practice. It will engage researches and scholars in psychology, social scientists and philosophers, as well general readership interested in exploring Sarbin's theories.

Innovative research requires courageous methods. With this in mind, Courageous Methods in Cultural Psychology invites students and post-graduate researchers to develop methods that will let them grasp phenomena of interest more fully. Readers will learn how to use established methods, and may be asked to develop them further by combining single steps of extant procedures, or by taking a completely new approach to data collection and analysis. In this book, diverse researchers present projects in which they have tried to do just that. A comprehensive process - from narrowing down research questions to collecting and analyzing data - is given in detail, followed by critical reflections on how well the authors have understood and shared complex realities. Project presentations are framed by theoretical chapters that deal with the challenges and opportunities of cultural psychology and interdisciplinary research. Courageous Methods in Cultural Psychology is sure to inspire and encourage those who wish to venture on new roads "into the wild."

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.

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master's and PhD students with a sound basic knowledge of statistics.

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling.

This book argues that some aspects of mental health practice have become mechanical, joyless and uninspiring, leading to a loss of creativity and wellbeing. A high level of wellbeing is essential to mental health and contemporary mental health care - and creativity is at the heart of this. A greater awareness of everyday creativity, the arts and creative approaches to mental health practice, learning and leadership can help us reinvent and reinvigorate mental health care. This, combined with a clearer understanding of the complex concept of wellbeing, can enable practitioners to adopt fresh perspectives and roles that can enrich their work. Creativity and wellbeing are fundamental to reducing occupational stress and promoting professional satisfaction. Introducing a new model of creative mental health care combined with recommendations for wellbeing, Creativity, Wellbeing and Mental Health Practice is a practical, evidence-based book for students, practitioners and researchers in mental health nursing and related disciplines.

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 latest volume in this multidisciplinary series on key topics in evolutionary studies, Evolutionary Perspectives on Death provides an evolutionary analysis of mortality and the consideration of death. Bringing together noted experts from a variety of fields, the books emanate from conferences held at Oakland University, and are dedicated to providing wide ranging and occasionally provocative views of human evolution. The volume on death covers topics from biology, anthropology, psychology, sociology and philosophy, with contributors addressing how evolution informs the process of comprehending, grieving, depicting, celebrating, and accepting death. Among the topics covered: Evolutionary perspectives on the loss of a twin Nonhuman primate responses to death Death in literature Witnessing and representing the death of pets The role of human decomposition facilities in shaping American perspectives on death This insightful volume showcases groundbreaking empirical and theoretical research addressing death and mortality from an evolutionary perspective, demonstrating the intellectual value of an interdisciplinary approach to understanding psychological processes and behavior. Chapter 6 of this book is available open access under a CC BY 4.0 license at link.springer.com.

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.

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.

Promoting Positive Processes After Trauma targets one of the most damaging effects of trauma, ongoing impairment across the whole of "living." Viewing clients with trauma histories from the perspectives of their shared experiences is the foundation for the application of six strengths and virtues studied by positive psychology: hope, positive emotions, resilience, forgiveness, spirituality and religiosity, and meaning-making. The lived trauma experience of the contributing author illustrates actual means of change

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.

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.

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.

* 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