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.

The Wartegg Drawing Completion Test (WDCT) is a semi-structured, graphic, performance-based personality test, created by Ehrig Wartegg (1939). With a foundation in Gestalt and Psychodynamic theory, the WDCT has been used widely throughout Europe, South America, and Japan, but only recently has become available in the United States. Initial scoring systems for the WDCT were considered cumbersome and lacked research-driven validation. In response to these factors, Alessandro Crisi, following years of clinical practice and research, developed the Crisi Wartegg System (CWS; 1998, 2007), a normed and standardized administration, scoring, and interpretation system for the WDCT. Over the past three decades, Dr. Crisi has refined and expanded the CWS through research, broadening the scope of the measure, and increasing the accessibility of the system to clinicians. This manual provides a comprehensive guide to the CWS, made available to English-speaking clinicians for the first time.

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.

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.

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.

Individual Differences and Personality provides a student-friendly introduction to both classic and cutting-edge research into personality, mood, motivation and intelligence, and their applications in psychology and in fields such as health, education and sporting achievement. Including a new chapter on 'toxic' personality traits, and an additional chapter on applications in real-life settings, this fourth edition has been thoroughly updated and uniquely covers the necessary psychometric methodology needed to understand modern theories. It also develops deep processing and effective learning by encouraging a critical evaluation of both older and modern theories and methodologies, including the Dark Triad, emotional intelligence and psychopathy. Gardner's and hierarchical theories of intelligence, and modern theories of mood and motivation are discussed and evaluated, and the processes which cause people to differ in personality and intelligence are explored in detail. Six chapters provide a non-mathematical grounding in psychometric principles, such as factor analysis, reliability, validity, bias, test-construction and test-use. With self-assessment questions, further reading and a companion website including student and instructor resources, this is the ideal resource for anyone taking modules on personality and individual differences.

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.

D-scoring Method of Measurement presents a unified framework of classical and latent measurement referred to as D-scoring method of measurement (DSM). Provided are detailed descriptions of DSM procedures and illustrative examples of how to apply the DSM in various scenarios of measurement. The DSM is designed to combine merits of the traditional CTT and IRT for the purpose of transparency, ease of interpretations, computational simplicity of test scoring and scaling, and practical efficiency, particularly in large-scale assessments. Through detailed descriptions of DSM procedures, this book shows how practical applications of such procedures are facilitated by the inclusion of operationalized guidance for their execution using the computer program DELTA for DSM-based scoring, equating, and item analysis of test data. In doing so, the book shows how DSM procedures can be readily translated into computer source codes for other popular software packages such as R. D-scoring Method of Measurement equips researchers and practitioners in the field of educational and psychological measurement with a comprehensive understanding of the DSM as a unified framework of classical and latent scoring, equating, and psychometric analysis.

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.

The Self at Work brings researchers in industrial and organizational psychology and organizational behavior together with researchers in social and personality psychology to explore how the self impacts the workplace. Covering topics such as self-efficacy, self-esteem, self-control, power, and identification, each chapter examines how research on the self informs and furthers understanding of organizational topics such as employee engagement, feedback-seeking, and leadership. With their combined expertise, the chapter authors consider how research on the self has influenced management research and practice (and vice-versa), limitations of applying social psychology research in the organizational realm, and future directions for organizational research on the self. This book is a valuable resource for researchers, graduate students, and professionals who are interested in how research on the self can inform industrial/organizational psychology.

For several decades there has been an increasing move towards viewing the psychotic illnesses from a dimensional perspective, seeing them as continuous with healthy functioning. The idea, concentrating mostly on schizophrenia, has generated considerable theoretical debate as well as empirical research, conducted under the rubric of 'schizotypy'. This book offers a timely discussion of the most significant themes and developments in this research area. Divided into four key sections which represent current concerns in schizotypy research - Measurement, Brain and Biology; Development and Environment; Consequences and Outcomes; and Future Directions - chapters reflect a broad range of approaches and discuss varied theoretical perspectives on schizotypy. Topics include: cognitive and perceptual biases psychometric assessments creativity and schizotypy genetic associations. developmental perspectives Schizotypy: New dimensions will appeal to academics, researchers and postgraduate students in the area of psychotic illnesses, as well as professionals including psychiatrists and clinical psychologists who are concerned with the basis of serious mental disorder. The book will inform readers who are new to the topic and will update and expand the knowledge base of those more experienced in the field.

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.

Rising life expectancies and declining social capital in the developed world mean that an increasing number of people are likely to experience some form of loneliness in their lifetimes than ever before. Narratives of Loneliness tackles some of the most pressing issues related to loneliness, showing that whilst recent policies on social integration, community building and volunteering may go some way to giving an illusion of not being alone, ultimately, they offer a rhetoric of togetherness that may be more seductive than ameliorative, as the condition and experience of loneliness is far more complex than commonly perceived. Containing thought-provoking contributions from researchers and commentators in several countries, this important work challenges us to rethink some of the burning issues of our day with specific reference to the causes and consequences of loneliness. Topics include the loneliness and mental health of military personnel, loneliness and social media, loneliness and sexuality, urban loneliness, and the experiences of transnational movement and adopted children. This book therefore makes an overdue multidisciplinary contribution to the emerging debate about how best to deal with loneliness in a world that combines greater and faster connectedness on the one hand with more intensely experienced isolation on the other. Since Emile Durkheim first claimed that the structure of society could have a strong bearing on psychological health in the 1890s, researchers in a range of disciplines have explored the probable impact of social context on mental health and wellbeing. Interdisciplinary in approach, Narratives of Loneliness will therefore be of great interest to academics, postgraduate students and researchers in social sciences, the arts, psychology and psychiatry.

A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.

This book showcases 28 intriguing social psychological experiments that have significantly advanced our understanding of human social thinking and behavior. Each chapter focuses on the details and implications of a single study, while citing related research and real-life examples along the way. All the chapters are fully self-contained, allowing them to be read in any order without loss of coherence. This 2nd Edition contains a number of new studies and, together with its lively, conversational tone, it makes an ideal text for courses in social psychology, introductory psychology, or research design.

Software is cut-and-dried - every button you press has a predictable effect - but qualitative analysis is open-ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. Expert ATLAS.ti users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how ATLAS.ti works and comprehensive instruction in the five steps of "translation". these steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in ATLAS.ti using the Five-Level QDA method. The book is accompanied by three sets of videos demonstrations on the Companion Website. While this book uses screenshots from the current ATLAS.ti Version 8, it is still fully applicable to users of older versions. The book and accompanying videos illustrate the Windows version of ATLAS.ti. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The ATLAS.ti Mac Interface' in the Component Orientation series of videos (available September 2017) The Five-Level QDA method is based on the authors' combined 40 years of experience teaching ATLAS.ti and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time ATLAS.ti experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

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.

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

Cognitive deficits are part of the normal ageing process and are exacerbated by various diseases that affect adults in old age, such as dementia, depression, and stroke. A significant scientific and social effort has been expended to evaluate whether cognitive deficits can be remedied through systematic interventions. The editors, as well as the chapter authors, represent a variety of viewpoints that span theory as well as practice. Overall, they aim to address concepts in cognitive rehabilitation that are useful in intervention research -- research which examines problems and issues in normal and pathological aging -- and focusing on the application of cognitive training strategies in natural settings. Thus, the book is grounded in contemporary theory in cognitive ageing and is applicable to both the practicing clinician as well as the researcher. It is organized into four sections. The first highlights prominent theoretical principles; the second looks at cognitive rehabilitation strategies in normal ageing; the third examines the interplay between lifestyle patterns and cognitive function through applying a broad definition of lifestyle choices; and the fourth focuses on rehabilitation strategies that address issues in pathological (or diseased) ageing.

This book explains the psychological assessment process and reviews the origins of psychological testing, referral and testing processes, and prominent psychological assessment instruments. Most important, this book details how to evaluate testing data and use them to understand an individual's needs and to inform interventions and treatments. This book addresses specific domains of psychological assessment, including: * Intelligence and academic achievement. * Speech-language and visual-motor abilities. * Memory, attention/concentration, and executive functioning. * Behavioral and social-emotional functioning. * Developmental status. Practical Guide to Child and Adolescent Psychological Testing is an essential resource for clinicians, primary care providers, and other practitioners as well as researchers, professors, and graduate students in the fields of child, school, and developmental psychology, pediatrics and social work, child and adolescent psychiatry, primary care medicine, and related disciplines.