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.

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.

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.

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.

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.

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.

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.

* 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.

* 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

Develop a Deep Understanding of the Statistical Issues of APC Analysis Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each Other After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects. Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification and discrimination, dimension reduction, and clustering. The text thoroughly explains the concepts and derivations of the AIC, BIC, and related criteria and includes a wide range of practical examples of model selection and evaluation criteria. To estimate and evaluate models with a large number of predictor variables, the author presents regularization methods, including the L1 norm regularization that gives simultaneous model estimation and variable selection. For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning. It also introduces linear and nonlinear statistical modeling for researchers and practitioners in industrial and systems engineering, information science, life science, and other areas.

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at www.crcpress.com, enabling you to easily apply the methods to your own empirical data.

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.

Research on the self relates to various phenomena including self-esteem, self-concept, self-verification, self-awareness, identity, self-efficacy, passion, self-determination, and goals. Moreover, research on self is multidisciplinary and of interest to a broad range of areas, such as education, economics, (social) psychology, neuro sciences, motivation, physical activity and behavior sciences, philosophy, and learning sciences. Chapters in this volume will illustrate some of the best of the research within these disciplines examining different aspects of self from various perspectives. A feature of this volume is that we will explore not only positive aspects of high perceived levels of self-determination and competence or self-concept on achievement, motivation and wellbeing, but also the dark side of an uncertain and negative self on identity and wellbeing. We learn from this that the self is a dynamic and powerful, yet fragile and highly amenable construct that needs self-care and constant reassurance. SELF - A Multidisciplinary Concept thus highlights the broad application of self-research and its diversity. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence of various disciplines and applications dealing with self. The scope of this seventh volume of the International Advances in Self Research series, started in 2000 by Herbert W. Marsh, Dennis M. McInerney, and Rhonda G. Craven, is thus very broad. Keeping within the tradition of the series, this volume will highlight the applicability of a multitude of empirical approaches and methods to self-research. We also aimed to maintain a balance between discussing theoretical research in SELF and deriving implications for effective practice. This volume thus includes chapters covering self-related topics within an educational, social, emotional, psychological, physiological, managerial, and health context.

Several Python programming books feature tools designed for experimental psychologists. What sets this book apart is its focus on eye-tracking. Eye-tracking is a widely used research technique in psychology and neuroscience labs. Research grade eye-trackers are typically faster, more accurate, and of course, more expensive than the ones seen in consumer goods or usability labs. Not surprisingly, a successful eye-tracking study usually requires sophisticated computer programming. Easy syntax and flexibility make Python a perfect choice for this task, especially for psychology researchers with little or no computer programming experience. This book offers detailed coverage of the Pylink library, a Python interface for the gold standard EyeLink (R) eye-trackers, with many step-by-step example scripts. This book is a useful reference for eye-tracking researchers, but you can also use it as a textbook for graduate-level programming courses.

The transition from school to work is recognized by developmental psychologists as a significant phase in maturation of young people. In the 1990s the likelihood that the transition might be delayed by a period of prolonged unemployment was greater than any time since the 1930s. The psychological consequences of such a delay need to be understood because they may be damaging to both the individual and to society, particularly if they are long-lasting. Such an understanding is essential for the development of sound policy in relation to youth unemployment. Originally published in 1993, Growing up with Unemployment describes a major longitudinal study of a large group of South Australian school leavers through the 1980s. It assesses the scale and context of the problem and reviews the methods and theories that have been developed to study the psychological impact of unemployment. It also looks at those factors which may contribute towards helping young people cope with it, such as financial security, social support and being involved in constructive activities with other people. The authors also examine how we might be able to predict future unemployment and understand the relationship between it and alcohol consumption, smoking and drug use. This book describes a major study with important implications for employment policy, as well as future theory and research. This title will be interesting historical reading for students of psychology and social policy, policy makers and all those who deal with young people.

* This self-help guide divulges new research on burnout and helps readers use it to identify and recover from burnout in themselves, loved ones, or clients. * Steadily gaining traction in visibility and severity, burnout became a global phenomenon with the COVID19 pandemic, reaching epidemic levels. * The only book of its kind, the book is extremely accessible, with new evidence-based tools and a plan for recovery based on their personal situation.

This book describes methods to prevent avoidable errors and to correct unavoidable ones within the behavioral sciences. A distinguishing feature of this work is that it is accessible to students and researchers of substantive fields of the behavioral sciences and related fields (e.g., health sciences and social sciences). Discussed are methods for errors that come from human and other factors, and methods for errors within each of the aspects of empirical studies. This book focuses on how empirical research is threatened by different types of error, and how the behavioral sciences in particular are vulnerable due to the study of human behavior and human participation in studies. Methods to counteract errors are discussed in depth including how they can be applied in all aspects of empirical studies: sampling of participants, design and implementation of the study, instrumentation and operationalization of theoretical variables, analysis of the data, and reporting of the study results. Students and researchers of methodology, psychology, education, and statistics will find this book to be particularly valuable. Methodologists can use the book to advice clients on methodological issues of substantive research.

* Features/Benefits o Provides a hands-on methodological guide and overview for understanding the data/results of longitudinal research in SLA/applied linguistics and for conducting one's own such studies, illustrating these methods with exemplary studies of language learning outcomes over a long term. o Original reportings of unique large-scale research studies offer the best one-stop shop for reading and understanding current quantitative longitudinal studies in language learning. o Appendices with data and pedagogical features make it useful for course use by instructors and students. * Demand/Audience o Meets the need for methodological clarity in collecting, managing/organizing, and analyzing quantitative longitudinal data on language learning by offering students and researchers of applied linguistics, testing, and education a practical guide to conducting this research along with unique exemplar studies. * Competition o The only book to focus on quantitative longitudinal data analysis specifically for an SLA/applied linguistics readership. One older book focuses on qualitative and other methods with a narrower focus, and no other book comes very close to doing what this book does.

A Student Guide to Writing an Undergraduate Psychology Honors Thesis takes students through the entire process of creating a full-scale research project, from selecting a topic, choosing an experimental or correlational design, to writing and presenting their paper. The book offers valuable guidance on developing broader skills like communicating with your supervisor, time management and critical writing skills. Chapters cover topics such as mentor selection, collecting journal articles, gathering and analysing data, and writing a full APA or BPS experimental paper and will orientate and guide psychology students as they navigate the expected components of an honors thesis. Designed for any student that is currently working on an independent research project, A Student Guide to Writing an Undergraduate Psychology Honors Thesis is the perfect companion for those working on their senior honours thesis in psychology.

This handbook examines current mental health research, challenges in patient care, and advances in clinical psychiatry with the aim of improving approaches toward the screening of at-risk individuals, facilitating access to care, and supervising rehabilitation. Combining evidence-based research with clinical case studies, international experts provide detailed, holistic insights into our understanding of mental disorders through biological, social, interpersonal, and economical lenses. Models of intervention, prevention, and treatment are provided, along with methods for continued care and patient advocacy. Finally, experts analyze the future of psychiatric research and mental health care. Readers will gain greater understanding of the finer nuances of handling psychiatric cases and a holistic perspective of optimizing patient care within this field. This innovative book contributes to the development of community management of various psychiatric disorders and will be of interest to case managers, mental health workers, doctors, nurses, and many more.

Models of Society and Complex Systems introduces readers to a variety of different mathematical tools used for modelling human behaviour and interactions, and the complex social dynamics that drive institutions, conflict, and coordination. What laws govern human affairs? How can we make sense of the complexity of societies and how do individual actions, characteristics, and beliefs interact? Social systems follow regularities which allow us to answer these questions using different mathematical approaches. This book emphasises both theory and application. It systematically introduces mathematical approaches, such as evolutionary and spatial game theory, social network analysis, agent-based modelling, and chaos theory. It provides readers with the necessary theoretical background of each toolset as well as the underlying intuition, while each chapter includes exercises and applications to real-world phenomena. By looking behind the surface of various social occurrences, the reader uncovers the reasons why social systems exhibit both cultural universals and at the same time a diversity of practices and norms to a degree that even surpasses biological variety, or why some riots turn into revolutions while others do not even make it into the news. This book is written for any scholar in the social sciences interested in studying and understanding human behaviour, social dynamics, and the complex systems of society. It does not expect readers to have a particular background apart from some elementary knowledge and affinity for mathematics.

Models of Society and Complex Systems introduces readers to a variety of different mathematical tools used for modelling human behaviour and interactions, and the complex social dynamics that drive institutions, conflict, and coordination. What laws govern human affairs? How can we make sense of the complexity of societies and how do individual actions, characteristics, and beliefs interact? Social systems follow regularities which allow us to answer these questions using different mathematical approaches. This book emphasises both theory and application. It systematically introduces mathematical approaches, such as evolutionary and spatial game theory, social network analysis, agent-based modelling, and chaos theory. It provides readers with the necessary theoretical background of each toolset as well as the underlying intuition, while each chapter includes exercises and applications to real-world phenomena. By looking behind the surface of various social occurrences, the reader uncovers the reasons why social systems exhibit both cultural universals and at the same time a diversity of practices and norms to a degree that even surpasses biological variety, or why some riots turn into revolutions while others do not even make it into the news. This book is written for any scholar in the social sciences interested in studying and understanding human behaviour, social dynamics, and the complex systems of society. It does not expect readers to have a particular background apart from some elementary knowledge and affinity for mathematics.