This Open Access Brief analyzes the dynamics in which children's selves emerge through their everyday activities of meaning construction, both in their relationships with family and within school education. It begins with a discussion of new psychological inquiries into children's selves and builds upon the innovative theoretical notion of the Presentational Self, developed by the author over the last decade. The book illustrates how the observation of children's meaning construction in their everyday lives becomes a starting point for theoretical and empirical inquiries into child development and gives a framework that promotes new inquiries in this area. The book describes the Presentational Self Theory as a sense of how the notion of the Self is being worked upon in everyday life encounters. Chapters feature in-depth analyses of exchanges between adults and children in the Japanese cultural context. Meaning-Making for Living will be of interest to researchers and graduate students in the fields of cognitive, social, developmental, educational, and cultural psychology.

This book brings together into one edited volume the most compelling rationales for literary reading and health, the best current practices in this area and state of the art research methodologies. It consolidates the findings and insights of this burgeoning field of enquiry across diverse disciplines and groups: psychologists, neurologists, and social scientists; literary scholars, writers and philosophers; medical researchers and practitioners; reading charities and arts organisations. Following introductory chapters on the literary-historical background to reading and health, the book is divided into four key sections. The first part focuses on Practices, showcasing reading interventions and cultures in clinical and community mental health care and in secure settings. This is followed by Research Methodologies, featuring innovative qualitative and quantitative approaches, and by a section covering Theory, with chapters from eminent thinkers in psychiatry, psychology and psychoanalysis. The final part is concerned with Implementation, incorporating perspectives from health professionals, commissioners and reading practitioners. This innovate work explains why reading matters in health and wellbeing, and offers a foundational text to future scholars in the field and to health professionals and policy-makers in relation to the embedding of reading practices in professional health care.

This brief serves to educate readers about the sovereign citizen movement, presenting relevant case studies and offering suggestions for measures to address problems caused by this movement. Sovereign citizens are considered by the Federal Bureau of Investigation (FBI) to be a prominent domestic terrorist threat in the United States, and are broadly defined as a loosely-afflicted anti-government group who believes that the United States government and its laws are invalid and fraudulent. Because they consider themselves to be immune to the consequences of American law, members identifying with this group often engage in criminal activities such as tax fraud, "paper terrorism", and in more extreme cases, attempted murder or other acts of violence. Sovereign Citizens is one of the first scholarly works to explicitly focus on the sovereign citizen movement by explaining the movement's origin, interactions with the criminal justice system, and ideology.

This book provides a detailed examination of argumentative interactions in families with young children during mealtimes. It explores both the restrictions and the opportunities family mealtimes present and the types of issues addressed through argumentative discussions. Antonio Bova puts forward an in depth analysis of how both parents and children contribute to the inception and development of an argumentative discussion, and the categories of argument adopted most often by the two groups. Drawing upon a wealth of qualitative data from the recorded mealtime conversations of Italian and Swiss-Italian middle-class families, the author examines the crucial importance of argumentative interactions between parents and children during mealtimes. This book builds on recent advances in the study of the psychology of social interaction and sheds new light on the importance of argumentation at all stages of life.

Conducting Research with Human Participants: An IRB Guide for Students and Faculty by Nathan Durdella is the only guidebook students and faculty will need to navigate the IRB process and secure swift approval of research protocols. This book serves as an advisor to walk researchers through all the details of drafting, submission, and revision of materials for Institutional Review Boards so they can complete their research projects or dissertations faster. This text walks readers through the history of Institutional Review Boards, the contemporary context of ethical research, strategies to effectively draft, submit, and revise an IRB protocol, and guidance on working with an approved protocol in the field. The latest updates to the Common Rule and other regulatory frameworks, including special protections for working with vulnerable groups, are covered throughout the text. Not every research project goes according to plan, so adverse events and reporting receive special coverage. A final chapter on ethical research practices beyond IRB compliance encourages researchers to think through how to exit the field of research and ensure their research benefits the individuals, families, and communities in which they work. Take the guesswork out of the IRB process from start to finish with this handy guide.

This brief presents the case study of a hill in Czech Republic (Rip) and its region, and contributes to theorization in sociocultural psychology on three points, along three current debates. First, it contributes to the exploration of the mutual constitution of the lifecourse and of history, uses a distinction between socio-, micro- and ontogenesis, and argues that a focus on a delimited geographical space enables to better observe the processes by which history, daily situated interactions and courses of life shape each other. Second, in doing so, it sketches an understanding of the role of the material, spatial and semiotic specificities of landscapes in human development. Especially, it identifies some of the processes by which redundant dynamic patterns present in the environment may participate to the guidance of human experience. Third, it expands the reflection on case study construction and generalization. On the one side, it participates to a current debate in cultural psychology on the dynamics of generalization from single cases; on the other, it also dialogues with a more general reflection in the social sciences on social dynamics at the scale of small regions. Altogether, this brief is a first attempt to examine jointly these questions at the scale of a small region, a unique natural laboratory of social and psychological change. It will be of interest to researchers as well as graduate students in the fields of cultural and sociocultural psychology, cognitive psychology, and the social sciences.

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.

The third edition of the Student Study Guide With IBM (R) SPSS (R) Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention. Learning objectives and brief chapter summaries from the main text remind students of what they've learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects. Now placed at the end of book, the IBM (R) SPSS (R) workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website.

This book applies a range of ideas about scientific discovery found in contemporary philosophy of science to psychology and related behavioral sciences. In doing so, it aims to advance our understanding of a host of important methodological ideas as they apply to those sciences. A philosophy of local scientific realism is adopted in favor of traditional accounts that are thought to apply to all sciences. As part of this philosophy, the implications of a commitment to philosophical naturalism are spelt out, and a correspondence theory of truth is defended by showing how it helps explain various features of scientific practice. The central chapter of the book presents a broad theory of scientific method that comprises the detection of empirical phenomena and their subsequent understanding by constructing explanatory theories through the use of abductive methods. This theory of scientific method is then used as a framework to reconstruct the well-known qualitative method of grounded theory, and to present a systematic perspective on clinical reasoning and case formulation. Relatedly, an abductive or explanationist understanding of methods is employed to evaluate the knowledge credentials of evolutionary psychology. In addition, the conceptual and methodological foundations of a variety of quantitative methods are examined. Exploratory factor analysis and tests of statistical significance are given special attention.

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: Confirmatory Factor Analysis (CFA). As the authors explain, CFA is a theoretically informed statistical framework for linking multiple observed variables to latent variables that are not directly measurable. The authors begin by defining terms, introducing notation, and illustrating a wide variety of measurement models with different relationships between latent and observed variables. They proceed to a thorough treatment of model estimation, followed by a discussion of model fit. Most of the volume focuses on measures that approximate continuous variables, but the authors also devote a chapter to categorical indicators. Each chapter develops a different example (sometimes two) covering topics as diverse as racist attitudes, theological conservatism, leadership qualities, psychological distress, self-efficacy, beliefs about democracy, and Christian nationalism drawn mainly from national surveys. Data to replicate the examples are available on a companion website, along with code for R, Stata, and Mplus.

This book explores test adaptation, a scientific and professional activity now spanning all of the social and behavioural sciences. Adapting tests to various linguistic and cultural contexts is a critical process in today's globalized world, and requires a combination of knowledge and skills from psychometrics, cross-cultural psychology and others. This volume provides a step-by-step approach to cross-cultural test adaptation, emphatically presented as a melange between science and practice. The volume is driven by the first-hand practical experience of the author in a large number of test adaptation projects in various cultures, and is supported by the consistent scientific body of knowledge accumulated over the last several decades on the topic. It is the first of its kind: an in-depth treatise and guide on why and how to adapt a test to a new culture in such a way as to preserve its psychometric value.

Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.

The author proposes an epistemological strategy to resolve controversial issues in the indigenous psychology (IP) movement. These include the nature of IPs, scientific standards, cultural concepts, philosophy of science, mainstream psychology, generalization of findings, and the isolation and independence of IPs. The approach includes a two-step strategy for construction of culture-inclusive theories, based on a Mandala model of self and a Face and Favor model for social interaction, and the use of these models to develop culture-inclusive theories for Confucian morphostasis. The author has successfully used this strategy, and encourages others to use it to construct their own culture-inclusive theories.

Acculturation is the process of group and individual changes in culture and behaviour that result from intercultural contact. These changes have been taking place forever, and continue at an increasing pace as more and more peoples of different cultures move, meet and interact. Variations in the meanings of the concept, and some systematic conceptualisations of it are presented. This is followed by a survey of empirical work with indigenous, immigrant and ethnocultural peoples around the globe that employed both ethnographic (qualitative) and psychological (quantitative) methods. This wide-ranging research has been undertaken in a quest for possible general principles (or universals) of acculturation. This Element concludes with a short evaluation of the field of acculturation; its past, present and future.

A daily glass of wine prolongs life-yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk. What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the field's leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts and methods through lively examples that make abstract principles accessible. He draws his examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry to explain how randomized control trials are conceived and designed, how they differ from observational studies, and what techniques are available to mitigate their bias. "Carefully and precisely written...reflecting superb statistical understanding, all communicated with the skill of a master teacher." -Stephen M. Stigler, author of The Seven Pillars of Statistical Wisdom "An excellent introduction...Well-written and thoughtful...from one of causal inference's noted experts." -Journal of the American Statistical Association "Rosenbaum is a gifted expositor...an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference." -Psychometrika "A very valuable contribution...Highly recommended." -International Statistical Review

Recognizing Frantz Fanon's remarkable legacy to applied mental health and therapeutic practices which decolonize, humanize, and empower marginalized populations, this text serves as a timely call for research, education, and clinical work to establish and further develop Fanonian approaches and practices. As the first collection to focus on contemporary clinical applications of Fanon's research and practice, this volume adopts a transnational lens through which to capture the global reach of Fanon's work. Contributors from Africa, Australia, Europe, and North America offer nuanced insight into historical and theoretical methods, clinical case studies, and community-based innovations to place Fanon's research and practice in context. Organized into four key areas, including the Historical Significance of Fanon's Clinical Work; Theory and Fanonian Praxis; Psychotherapeutic and Community Applications; and Action Research, each section of the book reflects an impressive diversity of practices around the world, and considers the role of political and socioeconomic context, structures of gender oppression, racial identities, and their intersection within those practices. A unique manifesto to the ground-breaking and immensely relevant work of Frantz Fanon, this book will be of great interest to graduate and post graduate students, researchers, academics and professionals in counselling psychology, mental health research, and psychotherapy.

A comprehensive introduction to research methods and best practices for designing, conducting, interpreting, and reporting findings

This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results.

Recognized leaders in the field--authors Bart Weathington, Christopher Cunningham, and David Pittenger--present:

Introductions to multiple research designs--including single-participant, multi-group, longitudinal, correlational, and experimental designs--accompanied by examples

Bibliographic research and methods for appropriate sampling

Identifying, developing, and evaluating reliable and valid approaches to measurement

The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods

How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association

A comprehensive review of research methods and the statistical concepts that support them, "Research Methods for the Behavioral and Social Sciences" offers the best techniques for studying behavior and social phenomena.

IBM SPSS for Introductory Statistics is designed to help students learn how to analyze and interpret research. In easy-to-understand language, the authors show readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. There is such a wide variety of options and statistics in SPSS, that knowing which ones to use and how to interpret the outputs can be difficult. This book assists students with these challenges. Comprehensive and user-friendly, the book prepares readers for each step in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about results. Dialog windows and SPSS syntax, along with the output, are provided. Several realistic data sets, available online, are used to solve the chapter problems. This new edition includes updated screenshots and instructions for IBM SPSS 25, as well as updated pedagogy, such as callout boxes for each chapter indicating crucial elements of APA style and referencing outputs. IBM SPSS for Introductory Statistics is an invaluable supplemental (or lab text) book for students. In addition, this book and its companion, IBM SPSS for Intermediate Statistics, are useful as guides/reminders to faculty and professionals regarding the specific steps to take to use SPSS and/or how to use and interpret parts of SPSS with which they are unfamiliar.

Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results. This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Research Methods is an introduction to the importance of scientific research in everyday life and uses familiar examples to keep students engaged. The text analyzes controversies in psychology to stimulate student interest while explaining crucial methodological concepts. It presents ethical issues related to research, as well as social and cultural factors that might affect it, and provides a comprehensive introduction to a wide variety of methodologies. Through this book, students will learn how to generate research questions and select appropriate methodology, as well as to write a successful research report.

In this fully revised Fourth Edition of Psychometrics: An Introduction, author R. Michael Furr centers his presentation around a conceptual understanding of psychometric core issues, such as scales, reliability, and validity. Focusing on purpose rather than procedure and the "why" rather than the "how to," this accessible book uses a wide variety of examples from behavioral science research so readers can see the importance of psychometric fundamentals in research. By emphasizing concepts, logic, and practical applications over mathematical proofs, this book gives students an appreciation of how measurement problems can be addressed and why it is important to address them. The book offers readers the most contemporary views of topics in psychometrics available in the nontechnical psychometric literature.