Audiences are not what they used to be. Munching crisps or snapping selfies, chatting loudly or charging phones onstage - bad behaviour in theatre is apparently on the rise. And lately some spectators have begun to fight back... The Reasonable Audience explores the recent trend of 'theatre etiquette': an audience-led crusade to bring 'manners and respect' back to the auditorium. This comes at a time when, around the world, arts institutions are working to balance the traditional pleasures of receptive quietness with the need to foster more inclusive experiences. Through investigating the rhetorics of morality underpinning both sides of the argument, this book examines how models of 'good' and 'bad' spectatorship are constructed and legitimised. Is theatre etiquette actually snobbish? Are audiences really more selfish? Who gets to decide what counts as 'reasonable' within public space?Using theatre etiquette to explore wider issues of social participation, cultural exclusion, and the politics of identity, Kirsty Sedgman asks what it means to police the behaviour of others.

his Handbook is aimed at any professional whose work involves predicting the behaviour of others-eg probation, social work, residential care and health and nursing staff. Contents include: basic principles . bias in decision-making . individual risk and external factors (applied risk) . definition of target behaviour, probability v. cost of recurrence, motivation to repeat behaviour, controls and disinhibitors, insights into past offending

This book addresses the premise that therapy can be understood, practiced, and researched as a discursive activity. Using varied forms of discourse analysis, it examines the cultural, institutional, and face-to-face communications that shape, and occur within, therapies that are discursively understood and practiced. By first providing an overview of commonalities across discursive therapies and research approaches, the authors discursively examine general aspects of therapy. Topics explored include subjectivity, psychological terms, institutional influences, therapeutic relationships, therapists' ways of talking and questioning, discursive ethics, and assessment of therapeutic processes and outcomes. This book offers a macro-analysis of the conversational practices of a discursively informed approach to therapy; as well as a micro-analysis of the ways in which language shapes and is used in a discursively informed approach to therapy. This book will interest practitioners seeking to better understand therapy as a discursive process, and discourse analysts wanting to understand therapy as discursive therapists might practice it.

This volume is the most comprehensive reference book on community sentiment available. The classic book about community sentiment is Norm Finkel's "Commonsense Justice: Jurors' Notions of the Law" (1995). A similarly influential book called "Justice, Liability, and Blame" was published at the same time, examining lay sentiment about a variety of criminal issues and suggesting ways in which the substantive criminal law could be reformed in light of such lay responses (Robinson & Darley, 1995). Although these books were influential and important for their time (and since), this Handbook expands significantly on them, both by updating research since that time and broadens the scope of topic areas to ones that are not limited to trial and criminal justice issues. Each chapter is original/unpublished and focuses on an area related to children/families, many of which are "hot topic" areas in the news and courts today. For instance, the U.S. Supreme Court decided a case in June 2012 about the constitutionality of "life without parole" for juvenile offenders-a topic discussed in the Fass and Miora chapter. Thus, it is of interest to those interested in family law topics as well.

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.

This unique resource provides findings and insights regarding the multiple impacts of military duty on service members and veterans, specifically from a family standpoint. Broad areas of coverage include marital and family relationships, parenting issues, family effects of war injuries, and family concerns of single service members. The book's diverse contents highlight understudied populations and topics gaining wider interest while examining the immediate and long-term impact of service on family functioning. In addition to raising awareness of issues, chapters point to potential solutions including science-based pre- and post-deployment programs, more responsive training for practitioners, and more focused research and policy directions. Among the topics covered: * Deployment and divorce: an in-depth analysis by relevant demographic and military characteristics. * Military couples and posttraumatic stress: interpersonally based behaviors and cognitions as mechanisms of individual and couple distress. * Warfare and parent care: armed conflict and the social logic of child and national protection. * Understanding the experiences of women and LGBT veterans in Department of Veterans Affairs care. * Risk and resilience factors in combat military health care providers. * Tangible, instrumental, and emotional support among homeless veterans. War and Family Life offers up-to-date understanding for mental health professionals who serve military families, both in the U.S. and abroad.

This book explains, with case examples, a variety of social science research methods suitable for studying the unconscious components of irrational social and political actions in world affairs, which can be defined as those that are intensely destructive, self-destructive, or extremely bizarre. The book argues that they are driven in part by feelings and fantasies that are outside of conscious awareness. Meyers explores the role of empathy in clinical understanding, as well as the value of exposing assertions to empirical disconfirmation. With a variety of research methods such as survey research, content analysis, and narrative analysis, and case examples such as studies of 'irreal' statements by authoritarian leaders, fabricated newspaper articles and climate change denial, this book sheds light on how to conduct research on psychodynamic matters in a scientifically valid and credible way.

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.

The Ozone Layer is an accessible history of stratospheric ozone, from its discovery in the nineteenth century to current investigations of the Antarctic ozone hole. Drawing directly on the scientific literature, Christie uses the story of ozone as a case study for examining fundamental issues relating to the practice of modern science and the conduct of scientific debate. Linking key debates in the philosophy of science to an example of real-world science it is an excellent and thought-provoking introduction to the philosophy of science.

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher.Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project but some chapters can be omitted entirely if preferred.Step by step examples of each test help readers see how the material is applied in a variety of disciplines. Although the book can be used with any program, examples of how to use the tests in SPSS & EXCEL foster conceptual understanding. Exploring the concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding. Problems in each chapter help readers test their understanding of the material. Emphasizes selecting tests that maximize power to help readers avoid marginally significant results. Website featuring datasets for the book's examples and problems, and for the instructor Power Points, author's course syllabus, and answers to the even numbered problems. Chapters 1-3 cover basic concepts in probability, especially the binomial formula followed by two chapters that address the analysis of contingency tables. Chapters 6-8 address nonparametric tests involving at least one ordinal variable, including testing for nonparametric interaction effects, a topic omitted from other texts. The book then turns to situations that involve one metric variable.Chapter 9 reviews concepts that are foundational to CDA, including linear regression and generalized linear models. Chapters 10-11 cover logistic, ordinal, and Poisson regression. Chapters 12 and 13 review loglinear models and the General Estimating Equations (GEE) methodology for measuring outcomes from multiple time points. For a deeper understanding of how various CDA techniques work, chapter 14 covers estimation methods, such as Newton-Raphson and Fisher scoring. The book concludes with a summary of factors that need to be considered when choosing the best statistical technique. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t-tests and ANOVA.

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.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

Traditional theories of associative learning have found no place for the possibility that an individual's perception of events might change as a result of experience. Evidence for the reality of perceptual learning has come from procedures unlike those studied by learning theorists. The work reviewed in this book shows that learned changes in perceptual organization can in fact be demonstrated, even in experiments using procedures (such as conditioning and simple discrimination learning) which form the basis of associative theories. These results come from procedures that have been the focus of detailed theoretical and empirical analysis; and from this analysis emerges an outline of the mechanisms responsible. Some of these are associative, others require the addition of nonassociative mechanisms to the traditional theory. The result is an extended version of associative theory which, it is argued, will be relevant not only to the experimental procedures discussed in this book but to the entire range of instances of perceptual learning. For psychologists interested in the basic mechanisms of conditioning, perception, and learning, this volume provides an up-to-date, critical review of the field.

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.

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.

"Why Science Matters: Understanding the Methods of Psychological Research "rises above standard research methods texts by presenting an up-to-date view of contemporary psychological science as it is currently understood and practiced.
Explores not only the procedural aspects of psychological research, but also delves into the issue of how to accomplish effective science.
Explicates how hypotheses and theories are to be evaluated.
Suggests that the proper approach to devising and evaluating theories is by abduction, not by induction or deduction alone.
Incorporates new investigatory procedures, current methodologists, conflicts and issues, implications of the philosophy of science, and a lively prose style.
Provides a picture of science that will engage students and expand their abilities as both scientists and psychologists.

'Thanks to this new book, psychology students now have a trustworthy and practical guide that takes them through all stages of qualitative research with rich examples and different paradigmatic perspectives.' Svend Brinkmann, Aalborg University, Denmark 'A well thought-out, accessible and engaging guide to conducting qualitative research projects. This is a must-read for any student beginning the qualitative journey.' Abigail Locke, University of Huddersfield, UK This book is for students who are embarking on a qualitative research project in psychology or a related discipline. While focusing mainly on undergraduate dissertations, this book will also be useful for postgraduate students. It takes you through planning a qualitative project, stage by stage, addressing key issues and concerns along the way. The focus throughout is on how to make your project excellent! Packed full of examples from student projects to help you to put theory into practice, the book guides you through: * designing your research * ethical considerations * collecting your data * analysing your data * writing your report or dissertation. In addition, the book will help you with time management and working with your supervisor, as well as providing guidance on how you can use your project as the basis for publication or further study.

Your Psychology Project Handbook is the complete guide to preparing, carrying out and writing up a psychology research project or dissertation. Designed to support you through every stage of the project process, this second edition has been updated to include new chapters on doing online research and employability. The text offers you advice and practical guidance on each aspect of the project including ethics, choosing a research question, working with a supervisor and more. Whether it's qualitative or quantitative, the handbook provides you with all the support you need to carry out your project with confidence.