This book is a practical resource designed for clinicians, researchers, and advanced students who wish to learn about single-case research designs. It covers the theoretical and methodological underpinnings of single-case designs, as well as their practical application in the clinical and research neurorehabilitation setting. The book briefly traces the history of single-case experimental designs (SCEDs); outlines important considerations in understanding and planning a scientifically rigorous single-case study, including internal and external validity; describes prototypical single-case designs (withdrawal-reversal designs and the medical N-of-1 trial, multiple-baseline designs, alternating-treatments designs, and changing-criterion designs) and required features to meet evidence standards, threats to internal validity, and strategies to address them; addresses data evaluation, covering visual analysis of graphed data, statistical techniques, and clinical significance; and provides a practical ten-step procedure for implementing single-case methods. Each chapter includes detailed illustrative examples from the neurorehabilitation literature. Novel features include: A focus on the neurorehabilitation setting, which is particularly suitable for single-case designs because of the complex and often unique presentation of many patients/clients. A practical approach to the planning, implementation, data analysis, and reporting of single-case designs. An appendix providing a detailed summary of many recently published SCEDs in representative domains in the neurorehabilitation field, covering basic and instrumental activities of daily living, challenging behaviours, disorders of communication and cognition, mood and emotional functions, and motor-sensory disabilities. It is valuable reading for clinicians and researchers in several disciplines working in rehabilitation, including clinical and neuropsychology, education, language and speech pathology, occupational therapy, and physical therapy. It is also an essential resource for advanced students in these fields who need a textbook for specialised courses on research methodology and use of single-case design in applied clinical and research settings.

Reviewing the use of natural light by architects in the era of electricity, this book aims to show that natural light not only remains a potential source of order in architecture, but that natural lighting strategies impose a usefully creative discipline on design. Considering an approach to environmental context that sees light as a critical aspect of place, this book explores current attitudes to natural light by offering a series of in-depth studies of recent projects and the particular lighting issues they have addressed. It gives a more nuanced appraisal of these lighting strategies by setting them within their broader topographic, climatic and cultural contexts.

This book embeds a novel evolutionary analysis of human group selection within a comprehensive overview of multilevel selection theory, a theory wherein evolution proceeds at the level of individual organisms and collectives, such as human families, tribes, states, and empires. Where previous works on the topic have variously supported multilevel selection with logic, theory, experimental data, or via review of the zoological literature; in this book the authors uniquely establish the validity of human group selection as a historical evolutionary process within a multilevel selection framework. Select portions of the historical record are examined from a multilevel selectionist perspective, such that clashing civilizations, decline and fall, law, custom, war, genocide, ostracism, banishment, and the like are viewed with the end of understanding their implications for internal cohesion, external defense, and population demography. In doing so, its authors advance the potential for further interdisciplinary study in fostering, for instance, the convergence of history and biology. This work will provide fresh insights not only for evolutionists but also for researchers working across the social sciences and humanities.

This book proposes a novel method of combining the current approaches to counselling and psychotherapy into one coherent framework. The authors argue that the cognitive behavioural tradition (largely focused on thought patterns) and the psychodynamic approach (centred on the client's experience and relationships), can be successfully integrated with insights from cognitive neuroscience, to form a fruitful synthesis. In doing so they provide a perspective that will enable practitioners to more fully appreciate each client's unique inner world, based on their individual history and environment. The authors point towards the brain's innate ability to understand and learn from experience so as to direct the growth of that inner world. This book elaborates a method of tapping into this innate growth potential, so as to help clients move forward when they have become trapped in non-productive patterns or mental stalemates. It will provide fresh insights and a valuable resource for counselling psychologists, counsellors and psychotherapists, as well as for academics and students in these fields.

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

This groundbreaking book provides students and researchers with a unique overview of the longitudinal study of the development of young people from the ages of 12 to 25. It offers a comprehensive introduction into the multiple theories on the development of the self, personal relationships and psychopathology in adolescence, alongside a non-statistical overview of the many longitudinal models used to study development. The book includes key topics such as the development of the self, adolescent identity and personality; the development of parent-adolescent relationships; friendships and the understanding of others; and the development of psychosocial problems such as anxiety, depression, delinquency, aggression, and substance use. Meeus highlights multiple findings showing how these processes are integrated and identifies eight fundamental patterns of adolescent development to help determine why most adolescents develop into mature and organized individuals towards the end of this life stage, whilst a substantial minority show an inability to mature. It is essential reading for graduate students and researchers in adolescent development and anyone seeking to use longitudinal research methodology in the social and behavioral sciences.

This venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers own analyses. All the code is available on the author's website.

How do young people cope with the multitude of difficult situations and scenarios that are associated with growing up, like anxiety and depression, as well as illness, rejection and family breakdown? How can we facilitate and encourage, through a combination of health, well-being and positive mindset, healthy development during adolescence and beyond? With a substantial focus on the positive aspects of coping, including an emphasis on developing resilience and the achievement of happiness, Erica Frydenberg presents the latest developments in the field of coping. Adolescent Coping highlights the ways in which coping can be measured and implemented in a wide range of circumstances and contexts, with suggestions for the development of coping skills and coping skills training, and it provides strong scholarly evidence for the concepts and constructs that it promotes as providing a pathway to resilience. The work is framed as an ongoing interaction between individuals and their environments as represented by the psychosocial ecological model of Bronfenbrenner. The major theories of coping are articulated that take account of the transactional model, resources theories and proactive models of coping. Areas of recent interest such as neuroscience and epigenetics are included, alongside a new chapter, 'Cyberworld', which provides insights on new and relevant topics such as mindfulness and the impact of social media as they relate to coping in the contemporary context. Adolescent Coping will be of interest to practitioners in psychology, social work, sociology, education and youth and community work as well as to students on courses in adolescent development in these fields.

In this innovative book on autism and gaze from a multimodal interaction perspective, Terhi Korkiakangas examines the role of gaze in everyday situations, asking why eye contact matters, and considering the implications of this crucial question for autism. Since persons on the autism spectrum tend to use it differently and might not engage in eye contact in social situations, gaze is a crucial topic for understanding autism, yet we know surprisingly little about this topic in a real-world context, beyond psychological experiments and the research lab. Drawing on her research on authentic video-recorded social interactions, Korkiakangas shows how a multimodal interaction perspective can shed new light on gaze: what an instance of gaze does, and when, why, and for whom gaze 'matters', from both children on the autism spectrum and their social partners' perspective, including teachers and parents. Grounded in the interactional tradition of conversation analysis, the multimodal interaction perspective offers a major contribution to our understanding of autism by examining communication beyond talk and linguistic resources. Communication, Gaze and Autism considers both mutual gaze and gaze aversion during talk or silence, alongside facial expressions, gestures, and other body movements, to understand what gaze is used for, and to rethink 'eye contact'. The book includes a methodological introduction, practical tools for doing multimodal interaction research, and empirical findings. It also considers the voices of those people on the autism spectrum from the blogosphere, who suggest that eye contact has less significance for them and represents a communication difference, rather than a deficit. This book is designed for anyone with an academic, professional or personal interest in autism. It will particularly appeal to senior undergraduate and graduate students, researchers and practitioners in the fields of communication, social interaction and autism.

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. It features: Discusses a wide range of applications of multistate models, Presents methods for both continuously and intermittently observed life history processes, Gives a thorough discussion of conditionally independent censoring and observation processes, Discusses models with random effects and joint models for two or more multistate processes, Discusses and illustrates software for multistate analysis that is available in R, Target audience includes those engaged in research and applications involving multistate models.

This book, originally published in 1970, concerns the new technique of computer simulation in psychology at the time. Computer programs described include models of learning, problem-solving, pattern recognition, the use of language, and personality. More general topics are discussed including the evaluation of such models, the relation of the field to cybernetics, and the problem posed by consciousness. Today it can be read and enjoyed in its historical context.

Diversity-Sensitive Personality Assessment is a comprehensive guide for clinicians to consider how various aspects of client diversity-ethnicity, gender, sexual orientation, age, nationality, religion, regionalism, socioeconomic status, and disability status-can impact assessment results, interpretation, and feedback. Chapters co-written by leading experts in the fields of diversity and personality assessment examine the influence of clinician, client, interpersonal, and professional factors within the assessment context. This richly informed and clinically useful volume encourages clinicians to delve into the complex ways in which individuals' personal characteristics, backgrounds, and viewpoints intersect. This book fills an important gap in the personality assessment literature and is an essential resource for clinicians looking to move beyond surface-level understandings of diversity in assessment.

This book reflects the current thinking and research on how consumers' perception of product risks and benefits affects their behavior. It provides the scientific, regulatory and industrial research community with a conceptual and methodological reference point for studies on consumer behavior and marketing. The contributions address various aspects of consumer psychology and behavior, risk perception and communication, marketing research strategies, as well as consumer product regulation. The book is divided into 4 parts: Product risks; Perception of product risks and benefits; Consumer behavior; Regulation and responsibility.

Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:

• How missing data affects the statistical power in a study
• How much power is likely with different amounts and types of missing data
• How to increase the power of a design in the presence of missing data, and
• How to identify the most powerful design in the presence of missing data.

Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one s ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book s application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.

Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book s applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross-national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. Online resources, available at www.routledge.com/9781138690271, include some of the data sets and syntax commands used in the book. Applications from the behavioral and social sciences that use real data-sets demonstrate: The use of samples from 17 countries to validate the resistance to change scale across these nations How to test the cross-national invariance properties of social trust The interplay between social structure, religiosity, values, and social attitudes A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries. The second edition includes six new chapters and two revised ones presenting exciting developments in the literature of cross-cultural analysis including topics such as approximate measurement invariance, alignment optimization, sensitivity analyses, a mixed-methods approach to test for measurement invariance, and a multilevel structural equation modeling approach to explain noninvariance. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.

Subjectivity, the Unconscious and Consumerism is a unique and imaginative psycho-sociological exploration of how postmodern, contemporary consumerism invades and colonises human subjectivity. Investigating especially consumerism's unconscious aspects such as desires, imagination, and fantasy, it engages with an extensive analysis of dreams. The author frames these using a synthesis of Jungian psychology and the social imaginaries of Baudrillard and Bauman, in a dialogue with the theories of McDonaldization and Disneyization. The aim is to broaden our understanding of consumerism to include the perennial consumption of symbols and signs of identity - a process which is the basis for the fabrication of the commodified self. The book offers a profound, innovative critique of our consumption societies, challenging readers to rethink how we live, and how our identities are impacted by consumerism. As such it will be of interest to students and scholars of critical psychology, psychoanalysis, sociology, anthropology and cultural studies, but is also accessible to anyone interested in the complex psychology of contemporary subjectivity.

Notwithstanding the mythical demise of "introspection," self-observation has always been an integral aspect of the social sciences. In the century following the "behavioral revolution," psychology has seen a reduction not so much in the frequency as in the rigor with which self-observation is practiced. A great deal of self-observation has been renamed or obscured (as, for example, "self-report"), but this has served only to defer and impoverish important theoretical and technical work. This volume, which contributes to the development of a rigorous theory of self-observation, is organized around three general objectives: to re-animate a discourse on self-observation through a historical analysis of various self-observation traditions; to outline and begin to address some of the unique theoretical challenges of self-observation; and to elaborate some of the technical and practical details necessary for realizing a program of research dedicated to self-observation. In the first section of the book, three historians of psychology trace the evolution of self-observation. In the second, three scholars who are currently working in contemporary traditions of self-observation discuss the basic theoretical and practical challenges involved in conducting self-observation research. In the final two sections of the book, scholars from the phenomenological and narrative traditions trace the history, theory, and practice of self-observation in their respective traditions. Self-Observation in the Social Sciences continues the fine tradition set by Transaction's History and Theory of Psychology series edited by Jaan Valsiner. It is of interest to psychologists and to those who study methodology within the social sciences.

This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method.

This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method.

The Social Cognition and Object Relations Scale-Global Rating Method (SCORS-G) is a clinician rated measure that can be used to code various forms of narrative material. It is comprised of eight dimensions which are scored using a seven-point Likert scale, where lower scores are indicative of more pathological aspects of object representations and higher scores are suggestive of more mature and adaptive functioning. The volume is a comprehensive reference on the 1) validity and reliability of the SCORS-G rating system; 2) in depth review of the empirical literature; 3) administration and intricacies of scoring; and 4) the implications and clinical utility of the system across settings and disciplines for clinicians and researchers.

Highly praised for its clear, straightforward approach, Statistics without Maths for Psychology 8th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way. Statistics without Maths for Psychology, 8e, will help you to gain the confidence to apply statistical concepts and use SPSS to analyse data within your studies and future independent research.

Executive Functions in Health and Disease provides a comprehensive review of both healthy and disordered executive function. It discusses what executive functions are, what parts of the brain are involved, what happens when they go awry in cases of dementia, ADHD, psychiatric disorders, traumatic injury, developmental disorders, cutting edge methods for studying executive functions and therapies for treating executive function disorders. It will appeal to neuropsychologists, clinical psychologists, neuroscientists and researchers in cognitive psychology.

The Science of Cognitive Behavioral Therapy describes the scientific approach of CBT, reviews the efficacy and validity of the CBT model, and exemplifies important differences and commonalities of CBT approaches. The overarching principle of CBT interventions is that cognitions causally influence emotional experiences and behaviors. The book reviews recent mediation studies, experimental studies, and neuroimaging studies in affective neuroscience that support the basic model of CBT, as well as those that clarify the mechanisms of treatment change. Additionally, the book explains the interplay of cognition and emotion in CBT, specifies the treatment goals of CBT, discusses the relationship of cognitive models with medical models and associated diagnostic systems, and provides concrete illustrations of important general and disorder-specific considerations of CBT.