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.

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.

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.

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.

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.

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.

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.

This fascinating, well-written, and potentially controversial book is a wide-ranging exploration of the essential issues relevant to IQ. Charles Locurto examines data on the effectiveness of preschools; the impacts of adoption, heredity, and the role of environment; he evaluates the possibility of enhancing IQ in the early years; and he brilliantly describes and analyzes the major cases relevant to IQ research. "Sense and Nonsense about IQ" is truly an excellent sourcebook on the subject of human intelligence and its measurement.

Locurto reaches conclusions about the benefits of preschools, adoptions, social class, and family events that will gain attention and evoke discussion. The balance of the work, neither identifying with those who follow the extremes of hereditarianism or of environmentalism, ensures that Locurto's volume will be a most valuable resource for all with a serious interest in this subject which has so many far-reaching implications.

Tests and Assessments in Counseling provides students with current information on assessment tools and techniques through detailed case scenarios and vignettes. Going beyond basic information about a multitude of assessments, the authors focus on the use of instruments in individual cases to allow readers to more fully grasp the integral relationship between tests and assessment data and the counseling process. Chapters guide students through choosing the most effective assessment tool, successfully administering the assessment, and making meaningful and useful results of the data with the client. Test questions are also included at the end of each chapter.

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.

Designing and Implementing Effective Evaluations provides extensive real-life examples of program evaluations that illustrate the various elements and steps in conducting a successful evaluation. The detailed and diverse range of case studies show the common elements, methods, approaches, and processes of program evaluations, while also demonstrating the way that good evaluators adapt and tailor those methods to the specific characteristics and needs of a given program. The chapters explore the process of problem solving while navigating multiple stakeholders, competing agendas, and varying environments. The book introduces conversations concerning how to adapt evaluation processes and concepts with culturally different individuals and communities. It discusses the role of culture in navigating a meaningful evaluation process when significant cultural differences exist between the evaluator and individuals that make up the organization. The text is a vital resource for postgraduate students in program evaluation courses in Psychology, Education, Public Health, Social Work and related fields.

Devising tests that evaluate a nation's educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. Computerized Multistage Testing: Theory and Applications covers the methodologies, underlying technology, and implementation aspects of this type of test design. The book discusses current scientific perspectives and practical considerations for each step involved in setting up an MST program. It covers the history of MST, test design and implementation for various purposes, item pool development and maintenance, IRT-based and classical test theory-based methodologies for test assembly, routing and scoring, equating, test security, and existing software. It also explores current research, existing operational programs, and innovative future assessments using MST. Intended for psychologists, social scientists, and educational measurement scientists, this volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions. Winner of the 2016 AERA Award for Significant Contribution to Educational Measurement and Research Methodology The 2016 American Education Research Association (AERA) Div. D award committee for Significant Contributions to Educational Measurement and Research Methodology has recognized unanimously this collaborative work advancing the theory and applications of computerized MST. This annual award recognizes published research judged to represent a significant conceptual advancement in the theory and practice of educational measurement and/or educational research methodology. The 2016 award was made under the heading: Measurement, Psychometrics, and Assessment. This collective work, published in 2014 as an edited volume titled Computerized Multistage Testing: Theory and Applications, was cited by the committee both for the originality of the conceptual foundations presented in support of multistage testing and for arguing persuasively for its potential impact on the practice of educational measurement.

This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.