Experience Sampling in Mental Health Research provides comprehensive and user-friendly guidance on when and how to apply this methodology in the assessment of clinical populations. Divided into three sections, the book offers step-by-step instruction on how to design, develop and implement an ESM study, as well as advice on how this approach might be adapted for common mental health difficulties. With an eye to the future of this type of research, the contributors also consider how ESM might be adapted for use as a form of clinical assessment and intervention. Experience Sampling in Mental Health Research combines the knowledge and expertise of leading international experts in the field, and will be helpful for students, researchers and clinicians wishing to start or develop their understanding of this methodology.

Applied Power Analysis for the Behavioral Sciences is a practical "how-to" guide to conducting statistical power analyses for psychology and related fields. The book provides a guide to conducting analyses that is appropriate for researchers and students, including those with limited quantitative backgrounds. With practical use in mind, the text provides detailed coverage of topics such as how to estimate expected effect sizes and power analyses for complex designs. The topical coverage of the text, an applied approach, in-depth coverage of popular statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate application and usability, the text includes ready-to-use R code developed for the text. An accompanying R package called pwr2ppl (available at https://github.com/chrisaberson/pwr2ppl) provides tools for conducting power analyses across each topic covered in the text.

Intended for psychologists, clergy, and therapists and school guidance counselors specializing in treating dysfunctional families, grief counseling for the family, unresolved grief issues, etc. This book is also especially appropriate for students of psychology and death and bereavement courses.

Technology Applications in School Psychology Consultation, Supervision, and Training explores the ways in which the field of school psychology is using technological innovations to support and improve graduate student training and supervision, as well as school consultation. Chapters based on current research and written by experts address the integration of telehealth tools and strategies such as telepresence robots, bug-in-the-ear devices, videoconferencing, virtual platforms, and more, including a section dedicated to navigating practical, ethical, and legal concerns. Throughout, the volume engages with relevant considerations relating to data management, professional standards, and regulatory guidelines. This is a comprehensive and up-to-date resource for all those looking to understand the place and potential of established and emerging technologies within school psychology training and practice.

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.

Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches. The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.

Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while IBM SPSS is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of students' anxiety with statistics (and the fact that this anxiety can affect performance), Ronald D. Yockey has written SPSS Demystified: A Simple Guide and Reference, now in its fourth edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses. Key features of the text: Step-by-step instruction and screenshots Designed to be hands-on with the user performing the analyses alongside on their computer as they read through each chapter Call-out boxes provided, highlighting important information as appropriate SPSS output explained, with written results provided using the popular, widely recognized APA format End-of-chapter exercises included, allowing for additional practice SPSS datasets available on the publisher's website New to the Fourth Edition: Fully updated to SPSS 28 Updated screenshots in full color to reflect changes in SPSS software system (version 28) Exercises updated with up-to-date examples Exact p-values provided (consist with APA recommendations)

In the wake of initiatives such as No Child Left Behind and the use of high-stakes testing, the emphasis in schools has been on drill and practice for the test. Genuine understanding and critical thinking have been increasingly shortchanged. As a result, students have fewer opportunities to advance their insight into cognitive and emotional challenges, even though both teachers and parents recognize the importance of developing deliberative and reflective thinking skills. This book uniquely combines two things. First, it provides resources for classroom teachers in middle and secondary school that make it possible to, at a moment's notice, take advantage of a teachable moment by drawing students into productive intellectual discussions. Second, it gives the reader an overview of the rationale and the research base for engaging students in educational activities that are truly intellectual and that are not limited to training for testing success.

This revision guide provides concise coverage of the central topics within Research Methods in Psychology, presented within a framework designed to help you focus on assessment and exams. The text encapsulates all the subject matter listed in the BPS Qualifying Examination syllabus for the area. The structure of the book represents a logical, linear progress through your typical learning in relation to Research Methods in Psychology. The two authors bring their clear, accessible style to bear on this, making the normally 'dry' subject matter seem more lively and engaging. The chapter on writing reports is deliberately left to the end since this is the natural culmination of your research process. Sample questions, assessment advice and exam tips drive the organisation within chapters so you are able to grasp and marshal your thoughts towards revision of the main topics. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process and exam preparation. A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

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.

In the wake of initiatives such as No Child Left Behind and the use of high-stakes testing, the emphasis in schools has been on drill and practice for the test. Genuine understanding and critical thinking have been increasingly shortchanged. As a result, students have fewer opportunities to advance their insight into cognitive and emotional challenges, even though both teachers and parents recognize the importance of developing deliberative and reflective thinking skills. This book uniquely combines two things. First, it provides resources for classroom teachers in middle and secondary school that make it possible to, at a moment's notice, take advantage of a teachable moment by drawing students into productive intellectual discussions. Second, it gives the reader an overview of the rationale and the research base for engaging students in educational activities that are truly intellectual and that are not limited to training for testing success.

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.

Although anecdotal reports of loss of once-acquired reading ability was noticed in the individuals who had sustained brain damage as early as the year AD. 30, systematic enquires of alexia were not undertaken until the latter part of the nineteenth century. The two anatomo-pathological studies carried out by Dejerine in 1891 and 1892 mark the beginning of scholarly investigation of reading failure. Interestingly, the study of de velopmental reading disability also began to receive attention at about the same time when Pringle Morgan described the case of a 14-year-old boy who had great difficulty in reading and writing. Since then sporadic reports of developmental reading-writing failure began to appear in medi cal and educational journals even though such investigation went on at an unhurried pace. In the past two decades, however, the situation has changed enormously and hundreds of articles that have investigated developmental and acquired cognitive disabilities have been published. Disorders of spoken language and written language are two areas that have been extensively addressed by these articles. Those who study disorders of language come from a wide variety of backgrounds and their reports are also published in a variety of journals. The purpose of the present volume is to bring some important research findings of written language disorders together and present them in a coherent format. In Chapter 1, Joshi and Aaron challenge the validity of the notion of the putative "poor speller but good reader'."

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The following repository contains data files and R scripts from the book https://github.com/michaelgreenacre/CODAinPractice. The R package easyCODA, which accompanies this book, is available on CRAN -- note that you should have version 0.25 or higher. The latest version of the package will always be available on R-Forge and can be installed from R with this instruction: install.packages("easyCODA", repos="http://R-Forge.R-project.org").

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.

Prepares readers to analyze data and interpret statistical results using the increasingly popular R more quickly than other texts through LessR extensions which remove the need to program. By introducing R through less R, readers learn how to organize data for analysis, read the data into R, and produce output without performing numerous functions and programming first. Readers can select the necessary procedure and change the relevant variables without programming. Quick Starts introduce readers to the concepts and commands reviewed in the chapters. Margin notes define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction. Scenarios highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output. Numerous examples of output from psychology, business, education, and other social sciences demonstrate how to interpret results and worked problems help readers test their understanding. www.lessRstats.com website features the lessR program, the book's 2 data sets referenced in standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, PDF slides for each chapter, solutions to the book's worked problems, links to R/lessR videos to help readers better understand the program, and more. New to this edition: o upgraded functionality and data visualizations of the lessR package, which is now aesthetically equal to the ggplot 2 R standard o new features to replace and extend previous content, such as aggregating data with pivot tables with a simple lessR function call.

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.

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.

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.

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.

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book's web page.

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB (R) routines used for the examples are available on the authors' website. The book provides you with the essential background on latent variable models, particularly the latent class model. It discusses how the Markov chain model and the latent class model represent a useful paradigm for latent Markov models. The authors illustrate the assumptions of the basic version of the latent Markov model and introduce maximum likelihood estimation through the Expectation-Maximization algorithm. They also cover constrained versions of the basic latent Markov model, describe the inclusion of the individual covariates, and address the random effects and multilevel extensions of the model. After covering advanced topics, the book concludes with a discussion on Bayesian inference as an alternative to maximum likelihood inference. As longitudinal data become increasingly relevant in many fields, researchers must rely on specific statistical and econometric models tailored to their application. A complete overview of latent Markov models, this book demonstrates how to use the models in three types of analysis: transition analysis with measurement errors, analyses that consider unobserved heterogeneity, and finding clusters of units and studying the transition between the clusters.

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.