This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.

This volume offers insights into contemporary trends and perspectives in psychobiographical research. It applys new theoretical and methodological frameworks and presents discourses on psychobiography from transdisciplinary backgrounds and various socio-cultural contexts, displaying the new state-of-the-art, new trends and themes in psychobiography. The book outlines psychobiography's outstanding contribution to psychology from 36 internationally reputable authors. It also presents the ideas of five outstanding psychobiographers through interview excerpts. This book is a must for researchers, lecturers and practitioners in the field of psychology and social sciences interested in the use of new psychological theories and methodologies in life-span research.

This edited volume contains reports of current research, and literature reviews of research, involving self-efficacy in various instructional technology contexts. The chapters represent international perspectives across the broad areas of K- 12 education, higher education, teacher self-efficacy, and learner self-efficacy to capture a diverse cross section of research on these topics. The book includes reviews of existing literature and reports of new research, thus creating a comprehensive resource for researchers and designers interested in this general topic. The book is especially relevant to students and researchers in educational technology, instructional technology, instructional design, learning sciences, and educational psychology.

This volume addresses an important problem in social scientific research on global religions and spirituality: How to evaluate the role of diverse religious and spiritual (R/S) beliefs and practices within the rapid evolution of spiritual globalization and diversification trends. The book examines this question by bringing together a panel of international scholars including psychologists, sociologists, and researchers in religious studies, public health, medicine, and social work. The content includes chapters describing innovative concepts of post-Christian spirituality, Eastern forms of meditation, afterlife beliefs associated with the three dominant cultural legacies, various non-religious worldviews, spiritual Jihad, and secular and religious reverence. The book also covers such important themes as spiritual well-being, faith, struggle, meaning making, modeling, and support, as well as mysticism and using prayer to cope with existential crises. This book advances the understanding of the role of R/S across different faiths and cultural systems, including both Western and non-Western ones, and enriches the mainstream of psychological sciences and practices. It appeals to students, educators, researchers, and clinicians in multiple related fields and disciplines.

This new combination volume of three-books-in-one, dealing with the topic of artifacts in behavioral research, was designed as both introduction and reminder. It was designed as an introduction to the topic for graduate students, advanced undergraduates, and younger researchers. It was designed as a reminder to more experienced researchers, in and out of academia, that the problems of artifacts in behavioral research, that they may have learned about as beginning researchers, have not gone away.
For example, problems of experimenter effects have not been solved. Experimenters still differ in the ways in which they see, interpret, and manipulate their data. Experimenters still obtain different responses from research participants (human or infrahuman) as a function of experimenters' states and traits of biosocial, psychosocial, and situational origins.
Experimenters' expectations still serve too often as self-fulfilling prophecies, a problem that biomedical researchers have acknowledged and guarded against better than have behavioral researchers; e.g., many biomedical studies would be considered of unpublishable quality had their experimenters not been blind to experimental condition.
Problems of participant or subject effects have also not been solved. We usually still draw our research samples from a population of volunteers that differ along many dimensions from those not finding their way into our research. Research participants are still often suspicious of experimenters' intent, try to figure out what experimenters are after, and are concerned about what the experimenter thinks of them.

This edited collection will provide an overview of the field of physiological computing, i.e. the use of physiological signals as input for computer control. It will cover a breadth of current research, from brain-computer interfaces to telemedicine.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. The first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. The second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital-trace and textual data, as well as probability-, non-probability-, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. The first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. The second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital-trace and textual data, as well as probability-, non-probability-, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

This book addresses problems and challenges that face educational measurement at a time when multipurpose usage of observational data from educational assessments, tests and international surveys has become a growing global trend. While the construction of educational measures and use of educational data offer many opportunities, they also require awareness of the numerous threats to validity and methods of reducing such threats. Written by leading international scholars, the book demonstrates the complexity of educational measurement by addressing three broad and interrelated topics. The first part discusses cognitive abilities, including studies on fluid intelligence, its improvement and its links to aptitude tests for admission to higher education. The second part focuses on the effects of school and teacher-related factors on school outcomes at individual and group levels, and uses international studies to analyze causes. The third part presents analytical techniques and measurement methods to improve reliability, for example factor analysis using Bayesian estimators, bi-factor analysis, model misfit and solutions, and discusses balance issues in reporting test results. The book provides examples of state-of-the-art analytical techniques for pursuing fundamental research problems, and the latest advances in measurement methods, with a focus on validity improvement. Eminent researchers discuss and provide insights into questions such as: Is it possible to train individuals to think at a higher level than normal for their age? What determines prospective preschool teachers' skill to perceive mathematics-related preschool situations? Can international indicator design and instruments be improved to use trends and national context variables more efficiently? Can indicator data at national, school and class levels be compared easier? Are value-added measures of teacher effectiveness valid when it comes to hiring and promoting teachers? Is money better spent on teacher training than on smaller class-size? How do theory and empirical statistical data intertwine in building structures of understanding? This book is inspired by the career and personal influence of the Swedish scholar Professor Jan-Eric Gustafsson, renowned for his research on individual differences, especially the structure of cognitive abilities, and on the effects of education on knowledge and skills.

The second edition of this textbook provides expanded and updated guidance on the process of psychoeducational assessment and report writing for children in grades K-12. It casts the entire process within a newly proposed evidence-based psychoeducational assessment and report writing framework, and explains how to convey results through detailed, well-written reports. The new edition guides readers, step by step, through the assessment process - collecting data, writing reports, and communicating conclusions - for students with conditions spanning the range of IDEA classifications. Chapters offer a broad understanding of assessment and communication skills as well as the ethical, legal, cultural, and professional considerations that come with psychoeducational evaluation. In addition, chapters significantly expand on the coverage of learning disabilities, autism spectrum, intellectual disabilities, gifted, and other health-impaired and emotional disturbance assessment. The text updates sample reports from the previous edition, offering annotated commentary in the report explaining salient points and major decisions, and incorporates additional report samples to demonstrate fully the assessment and report writing process. Key topics addressed in the revised and expanded edition include: Psychoeducational assessment and report writing in school and clinic settings. Interview formats from various perspectives, including caregivers/parents, teachers, and students. Assessment of culturally and linguistically diverse youth. Assessment of social, emotional, behavioral and mental health difficulties that may affect students' educational functioning. Common academic difficulties, including reading, writing and mathematics. Common recommendations and accommodations for behavioral, social, emotional, and learning needs. Incorporation of response-to-intervention/curriculum based assessment data into the psychoeducational report. Psychoeducational Assessment and Report Writing, 2nd Edition, is an essential textbook for graduate students as well as researchers, professors, and professionals in child and school psychology, educational assessment, testing, and evaluation, social work, and related disciplines.

Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These "how-to" videos run approximately 5-10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing.

This book proposes a conceptual-empirical framework for exploring forms of continuity and change along psychosocial pathways in South African universities. It illustrates how the psychosocial pathways are grounded in the symbolic narratives and knowledges of young scientists, engineers and architects - all interlocutors in the research from which this book is based. Alala, Mamoratwa, Welile, Odirile, Kaiya, Amirah, Takalani, Nosakhele, Naila, Ambani, Khanyisile, Itumeleng, Ethwasa and Kgnaya provide collective standpoints in the multiplicities within and between the lived lives and told stories of young Black South African women in Science, Technology, Engineering, and Mathematics (STEM) fields. In doing so, this compelling work advances possibilities for demythologising scientific endeavour as a white male achievement and shifting knowledge communities across gendered, racialised, class and national divides. This book presents an innovative narrative methodology, utilising the myth of the Minotaur to examine the state of the university at the heart of the hierarchical labyrinth in "post"-apartheid South Africa. Throughout the work the author wrestles with and self-reflexively highlights her own positionality as a white, middle-class South African woman to examine how this affects the production of this research in ways which serve to preserve the colonial knowledge system. With the rise of the Rhodes Must Fall and Fees Must Fall student movement in South Africa, demanding for the fall of institutionalised racial hierarchies, the author uses the cover image of narrative formations in the spirit of exploration to think with and through undulating networked forms that could possibly forge new psychosocial pathways towards decolonising and reinventing South African universities. This work offers a unique conceptual and methodological resource for students and scholars of psychosocial and narrative theory, as well as those who are concerned about the politics of higher education, both in South Africa and in other contexts around the world.

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.

Jung's Personality Theory Quantified fills an urgent need for professionals using the Myers-Briggs Type Indicator (R) (MBTI) to map it on to the cognitive modes of Jung's personality theory, avoiding potential logical errors in the traditional "type dynamics" method. It furthers Jung's original concepts while placing them on a solid axiomatic basis not possessed by other personality theories. Bringing these quantitative findings to the millions of MBTI users - managers, consultants, counsellors, teachers, psychoanalysts and human resource professionals - will require further education of those already certified to administer the instrument according to type dynamics. For this reason numerical exercises follow most chapters to make the book a source reference for briefer workbooks usable in enhanced certification programs. Backed by quantitative theory and new graphical methods, the pioneering qualitative typology work of Myers and Briggs is thus extended to yield deeper understanding of the vital topics of human personality, creativity and human relations. Jungian psychoanalysts may find Jung's Personality Theory Quantified helpful in organizing complicated clinical information and it can also enhance the work of MBTI practitioners worldwide.

Evidence-based practice has become the benchmark for quality in healthcare and builds on rules of evidence that have been developed in psychology and other health-care disciplines over many decades. This volume aims to provide clinical neuropsychologists with a practical and approachable reference for skills in evidence-based practice to improve the scientific status of patient care. The core skills involve techniques in critical appraisal of published diagnostic-validity or treatment studies. Critical appraisal skills assist any clinician to evaluate the scientific status of any published study, to identify the patient-relevance of studies with good scientific status, and to calculate individual patient-probability estimates of diagnosis or treatment outcome to guide practice. Initial chapters in this volume review fundamental concepts of construct validity relevant to the assessment of psychopathology and cognitive abilities in neuropsychological populations. These chapters also summarize exciting contemporary development in the theories of personality and psychopathology, and cognitive ability, showing a convergence of theoretical and clinical research to guide clinical practice. Conceptual skills in interpreting construct validity of neuropsychological tests are described in detail in this volume. In addition, a non-mathematical description of the concepts of test score reliability and the neglected topic of interval estimation for individual assessment is provided. As an extension of the concepts of reliability, reliable change indexes are reviewed and the implication of impact on evidence-based practice of test scores reliability and reliable change are described to guide clinicians in their interpretation of test results on single or repeated assessments. Written by some of the foremost experts in the field of clinical neuropsychology and with practical and concrete examples throughout, this volume shows how evidence-based practice is enhanced by reference to good theory, strong construct validity, and better test score reliability.

When this work appeared in 1928, it was probably the most intensive study of any form of the Binet tests ever made, based upon the largest group of preschool children ever reported.

Vor etwa 10 Jahren erschien die Originalausgabe von Conducting Psychological Assessment. Seitdem wird dieses Referenzwerk, insbesondere in der Lehre, eingesetzt, um Psychologen in der Erstellung psychologischer Gutachten zu schulen, vor allem im Hinblick auf die Integration von Daten und das Abfassen von Berichten. Das in der Originalausgabe vorgestellte Hypothesentestmodell ist heute das Standardmodell fur eine ethische und in jeder Hinsicht umfassende Begutachtung. Die 2. Auflage greift auf grundlegende Modelle der ersten Auflage zuruck, erganzt um Nuancen und Details, die in Workshops uber die letzten zehn Jahre erarbeitet wurden. Der Autor hat anerkannte Modelle zum Abgleich widerspruchlicher Daten aus unterschiedlichen Quellen entwickelt, die in das Kapitel zur Datenintegration einfliessen koennen. Auch nutzt der Autor verschiedene andere Modelle zur Persoenlichkeitsfunktion als Vorlage fur die Erarbeitung von Daten, darunter das interpersonelle Circumplex-Modell. Diese Ansatze kommen in diesem Buch durchgangig zur Anwendung.

Outline of Theoretical Psychology discusses basic philosophical problems in the discipline and profession of psychology. The author addresses such topics as what it means to be human in psychology; how psychological knowledge is possible and what it consists of; the role of social justice in psychology; and how aesthetic experience could help us to understand the human condition. Proposing possible solutions to a range of such issues, Thomas Teo situates theoretical questions within traditional branches of philosophical inquiry: ontology, epistemology, ethics, and aesthetics. This book argues that in order to improve psychology as a discipline and in practice, psychologists must reconceive the unit of psychological analysis, looking beyond individual capacity and even experience. By engaging with these basic philosophical problems, Teo demonstrates how psychology can avoid its common pitfalls and continue as a force for resistance and the good.

Fashion Branding and Consumer Behaviors presents eye-opening theory, literature review and original research on the mutual influence of branding strategies and consumer response. Contributors use multiple methods to analyze consumers' psychosocial needs and the extent that their fulfillment goes beyond the usefulness or value of the items they purchase as well as the fashion industry's means of communicating brand identity and enhancing brand loyalty. Along the way, these studies raise important questions about consumer behaviors, consumer welfare, environmental ethics and the future of consumer research. Included in the coverage: * A symbolic interactionist perspective on fashion brand personality and advertisement response.* Optimizing fashion branding strategies in a fluctuating market.* An analysis of fashion brand extensions by artificial neural networks.* Domestic or foreign luxury brands? A comparison of status- and non-status- seeking teenagers.* The impact of consumers' need for uniqueness on purchase perception.* How brand awareness relates to market outcome, brand equity and the marketing mix.A breakthrough volume on the complexities of how and why we buy, Fashion Branding and Consumer Behaviors will captivate researchers and practitioners in the fields of consumer psychology, marketing and economics.

This text provides a study of Jean-Martin Charcot, a founding figure in the history of neurology as a discipline and a colleague of Sigmund Freud. It argues that Charcot's diagnostic and pedagogic models, explaining both how disease is recognized and described and how to teach the act of neurological diagnosis, should be considered through a theatrical lens. Considering the constitution of the living, moving body in terms of performance, Charcot created a situation whereby the line between deceptive acting and real pathology, scientific accuracy and creative falsehood, and indeed between health and unhealth, becomes blurred. The physician becomes a medical subject in his or her own display, transforming medicine into a potentially destabilizing, even grand guignolesque, discourse. Offering a unique insight into Charcot's work, his concepts and his methods, this text represents a unique and interdisciplinary analysis cutting across the fields of art and neurology.

This book discusses the psychological traits associated with drug consumption through the statistical analysis of a new database with information on 1885 respondents and use of 18 drugs. After reviewing published works on the psychological profiles of drug users and describing the data mining and machine learning methods used, it demonstrates that the personality traits (five factor model, impulsivity, and sensation seeking) together with simple demographic data make it possible to predict the risk of consumption of individual drugs with a sensitivity and specificity above 70% for most drugs. It also analyzes the correlations of use of different substances and describes the groups of drugs with correlated use, identifying significant differences in personality profiles for users of different drugs. The book is intended for advanced undergraduates and first-year PhD students, as well as researchers and practitioners. Although no previous knowledge of machine learning, advanced data mining concepts or modern psychology of personality is assumed, familiarity with basic statistics and some experience in the use of probabilities would be helpful. For a more detailed introduction to statistical methods, the book provides recommendations for undergraduate textbooks.

The rapid social change in the East Asia has brought great research attention on the family, education and political impacts. The growth trajectory of the next generation is exposed to an entirely different context owing to the dual effects of traditional and modern values as well as practices. This book provides an overall picture of the developmental trajectory of Taiwanese youth as a typical example in the region. The time frame is set from early adolescence (13years old) to young adulthood (22yeard old). Individual psychological well-being in its broad definition will be used as the outcome indicator to reflect significant developmental processes during this important transitional life course. Benefitted from the rare panel datasets conducted from 2000-2009, this book has two major focuses: one is to explore the interplay among family, school and community with regard to their influence on the individual growth patterns; the other is to highlight the potential constraint and/or strength of the prevailing social norms and values shared among East Asian societies. To be specific, different chapters will describe and analyze the life chances and growth patterns among youth with different social capitals (including family SES, educational achievement, rural-urban residence, etc.). Their short-term versus long-term outcome, as indicated by various psychological well-being variables (e.g., depressive symptoms, deviant or problem behaviors, happiness, edutional performance), will allow us to delineate the particular structural context that individual East Asian youth encounters and to offer constructive suggestions on family interaction, educational strategy as well as health related policies based on the scientific evidence. This book incorporates comparative reports from other East Asian societies, and from youth panel studies of Australia and the U.S.. The experience of their counter-part in the advanced societies will contribute to readers' understanding of the particular social situation that East Asian youth is embedded in the growth process. In addition, comparative perspective will enable the reader to contemplate on the potential future development of the affluent generation in the region. Since changing social structure occurred in the last few decades in the East Asia has suffered inadequate investigation in the realm of family, education and community, this book provides timely information to fill up the gap. Analyses of the valuable dataset from early adolescents to young adults will attract those who are interested in family researches, in youth studies, in panel data analyses, as well as in the social development in Taiwan and in East Asia.

This proceedings book highlights the latest research and developments in psychometrics and statistics. Featuring contributions presented at the 82nd Annual Meeting of the Psychometric Society (IMPS), organized by the University of Zurich and held in Zurich, Switzerland from July 17 to 21, 2017, its 34 chapters address a diverse range of psychometric topics including item response theory, factor analysis, causal inference, Bayesian statistics, test equating, cognitive diagnostic models and multistage adaptive testing. The IMPS is one of the largest international meetings on quantitative measurement in psychology, education and the social sciences, attracting over 500 participants and 250 paper presentations from around the world every year. This book gathers the contributions of selected presenters, which were subsequently expanded and peer-reviewed.