The purpose of this book is to present methods for developing, evaluating and maintaining rater-mediated assessment systems. Rater-mediated assessments involve ratings that are assigned by raters to persons responding to constructed-response items (e.g., written essays and teacher portfolios) and other types of performance assessments. This book addresses the following topics: (1) introduction to the principles of invariant measurement, (2) application of the principles of invariant measurement to rater-mediated assessments, (3) description of the lens model for rater judgments, (4) integration of principles of invariant measurement with the lens model of cognitive processes of raters, (5) illustration of substantive and psychometric issues related to rater-mediated assessments in terms of validity, reliability, and fairness, and (6) discussion of theoretical and practical issues related to rater-mediated assessment systems. Invariant measurement is fast becoming the dominant paradigm for assessment systems around the world, and this book provides an invaluable resource for graduate students, measurement practitioners, substantive theorists in the human sciences, and other individuals interested in invariant measurement when judgments are obtained with rating scales.

The Four Domains of Mental Illness presents an authentic and valid alternative to the DSM-5, which author Rene J. Muller argues has resulted in many patients being incorrectly diagnosed and wrongly medicated. Dr. Muller points out where the DSM-5 is mistaken and offers a guide to diagnosis based on the psychobiology of psychiatrist Adolf Meyer and the insights of existential philosophy and psychiatry. His model identifies the phenomena of the mental illnesses that clinicians most often see, which are characterized by identifying their structure, or partial structure. Using the FDMI approach, clinicians can grasp how each mental illness is an aberration of Martin Heidegger's being-in-the-world.

Psychodiagnosis in Schizophrenia is a reprint of a classic volume in assessment psychology that first appeared in 1966. The book concerns the use of psychodiagnostic techniques in the differential diagnosis of schizophrenia. The author first presents a conceptual analysis of schizophrenic disturbance in terms of impaired ego functioning and extrapolates from schizophrenic ego impairments to psychodiagnostic indices that have been demonstrated to assess them. In particular, Weiner refers to the Wechsler Adult Intelligence Scale, the Rorschach Inkblot Method, and the Draw-A-Person test. Clinical and research data delineating the nature of psychological deficits in schizophrenia are reviewed, and practical guidelines for the clinical assessment of these deficits are presented.
The author next considers several differential diagnostic possibilities frequently considered in the evaluation of schizophrenic persons, with separate chapters devoted to the many forms of schizophrenia, such as: acute, chronic, paranoid, nonparanoid, incipient, remitting, borderline and pseudoneurotic. There are also chapters that focus on schizoaffective disorder and adolescent schizophrenia. The conceptual and empirical contributions to these distinctions are reviewed; accordingly, the differentiating characteristics of these subcategories are related to parameters of psychodiagnostic test performance. In additon, the process of differential psychodiagnosis in schizophrenia is illustrated by detailed case studies. In an extended new preface, the author comments on current perspectives and contemporary literature related to the individual chapters of the text.

This classic, widely used guide to the total Rorschach records of adolescents, including developmental trends and sex differences, is enriched with longitudinal data on the responses of thirty-five girls and thirty boys who were each tested annually from 10 to 16 years old. Rarely does one have the opportunity to study detailed records like these for the same subjects over such an unbroken period of time. Also included are thirty-five tables providing normative data, making this volume an essential tool for clinical and developmental psychologists alike.

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle. tinyurl.com/RcmdrBookThe site includes data files used in the book and an errata list. http://socserv.mcmaster.ca/jfox/Books/RCommander/Writing-Rcmdr-Plugins.pdf Writing R Commander Plug-in Packages

Pain is an unfortunate daily experience for many individuals. Chronic pain -- lasting six or more months -- is suffered by approximately 30% of the population in the United States. These individuals wake up, function during the day and go to sleep, trying to keep pain at a minimum while, at the same time, maintaining some quality of life. They may make frequent visits to the doctor and the pharmacy. When they find relief, it is usually short-lived and comes at a cost such as dependence on narcotic medications or complete limitation of activity. Pain often becomes the central point of their existence.
This practice guide describes an approach to psychological evaluation of the chronic pain patient who is being considered for surgery. A large body of research is accumulating which demonstrates that the outcome of surgical procedures aimed at chronic pain relief can be strongly influenced by psychological and emotional factors. This approach, termed "presurgical psychological screening" (PPS) uses interview and testing techniques to identify emotional, behavioral, and psychosocial difficulties which have been demonstrated to negatively impact surgical outcome. Studies show that even patients with clearly identifiable pathophysiology may respond poorly to surgery, due to issues such as pain sensitivity, medication dependence, rewards for pain behavior and personality style. Thus, some insurance carriers, rehabilitation nurses and state worker's compensation systems are encouraging, or even requiring, presurgical psychological screening in cases of surgery designed to relieve chronic pain.
The first to present a comprehensive, unified approach to PPS in chronic pain syndromes, this text is designed to provide the behavioral health practitioner, as well as the trainee, with all the tools and information necessary to conduct PPS evaluations. It identifies a multitude of risk factors for poor surgical outcome and reviews research associated with each risk factor. Hands-on techniques for eliciting information from the patient about risk factors is also detailed. Toward this end, the practice guide also contains a number of forms and session outlines which can be directly utilized, or which can be altered to fit readers' needs. Models for weighing and combining surgical outcome risk factors are also provided. Thus, practitioners are able to reach valid and reliable predictions of surgical results. Finally, the text provides outlines of psychological interventions which can facilitate surgical outcome as well as surgical treatment alternatives. Upon completion of this practice guide, readers should be able to begin providing PPS evaluations which are scientifically valid, clinically sound, and which result in significant overall improvement in the treatment of chronic pain syndromes.

Shame remains at the core of much psychological distress and can eventuate as physical symptoms, yet experiential approaches to healing shame are sparse. Links between shame and art making have been felt, intuited, and examined, but have not been sufficiently documented by depth psychologists. Shame and the Making of Art addresses this lacuna by surveying depth psychological conceptions of shame, art, and the role of creativity in healing, contemporary and historical shame ideologies, as well as recent psychobiological studies on shame. Drawing on research conducted with participants in three different countries, the book includes candid discussions of shame experiences. These experiences are accompanied by Cluff's heuristic inquiry into shame with an interpretative phenomenological analysis that focuses on how participants negotiate the relationship between shame and the making of art. Cluff's movement through archetypal dimensions, especially Dionysian, is developed and discussed throughout the book. The results of the research are further explicated in terms of comparative studies, wherein the psychological processes and impacts observed by other researchers and effects on self-conscious maladaptive emotions are described. Shame and the Making of Art should be essential reading for academics, researchers, and postgraduate students engaged in the study of psychology and the arts. It will be of particular interest to psychologists, Jungian psychotherapists, psychiatrists, social workers, creativity researchers, and anyone interested in understanding the dynamics of this shame and self-expression.

The Minnesota Multiphasic Personality Inventory (MMPI, MMPI-2, and MMPI-A) and the Rorschach are the two tests used most widely in clinical personality assessment to evaluate personality functioning, current emotional state, and the presence, nature, and severity of psychopathology, as well as to formulate treatment interventions. Psychologists' vigorous interest in and intense loyalty to the Rorschach and MMPI are reflected in the large and still growing theoretical and empirical literature concerning these tests. Given the enduring popularity of these two tests, it is surprising to find that only a small percentage of these numerous studies have examined the relationships between the two.
Both tests provide valuable information about an individual's symptoms, behavior, emotions, interpersonal functioning, self-concept, defenses, and the dynamics underlying their behavior. Although much has been written about each test individually, little has been written about how to use the two tests together even though many psychologists use a battery of tests when conducting personality assessments in clinical practice. The basic premise of this book is that psychologists' armamentarium of assessment techniques can be strengthened by using the MMPI-2 and Rorschach together in a complementary fashion, and that essential information may be lost if one test is used to the exclusion of the other.
The book examines interrelationships between the MMPI-2 and Rorschach on several different levels including empirical and research findings, conceptual relationships, and integrated interpretations using a series of in-depth case presentations. A balance is maintained between the foundation provided by research and by clinical theory for conceptualizing, understanding, and treating patients with a variety of psychological disorders. This volume illustrates the contribution psychological test findings make to clinical decision making and differential diagnosis, and discusses the links between test data, clinical judgment, and DSM-IV.

Neuropsychological and psychological evaluations in school settings are often rich in detail about a child's cognitive, academic and emotional functions, and come with specific recommendations to support the child's performance in school. However, there is often a gap between the assessment results and the implementation of the recommendations, since learning specialists and teachers frequently do not have the means to both interpret and implement the recommendations. This manual presents clear and specific guidelines for school counselors and teachers to decode and put into practice evaluation findings. The book begins by describing various functional domains that are assessed in a neuropsychological evaluation, and then notes how to recognize behavior and learning styles impacted by difficulty in one of more of the domains. Furthermore, it outlines activities that could be used in the classroom or other environments to support a child's weaknesses, develop new skills, or appear to particular strengths. Finally, ready-to-use worksheets and activities are offered. This is an essential tool for school psychologists, special education teachers, and learning specialists and counselors.

Signal detection theory--as developed in electrical engineering and based on statistical decision theory--was first applied to human sensory discrimination 40 years ago. The theoretical intent was to provide a valid model of the discrimination process; the methodological intent was to provide reliable measures of discrimination acuity in specific sensory tasks. An analytic method of detection theory, called the relative operating characteristic (ROC), can isolate the effect of the placement of the decision criterion, which may be variable and idiosyncratic, so that a pure measure of intrinsic discrimination acuity is obtained. For the past 20 years, ROC analysis has also been used to measure the discrimination acuity or inherent accuracy of a broad range of practical diagnostic systems. It was widely adopted by methodologists in the field of information retrieval, is increasingly used in weather forecasting, and is the generally preferred method in clinical medicine, primarily in radiology. This book attends to both themes, ROC analysis in the psychology laboratory and in practical diagnostic settings, and to their essential unity.
The focus of this book is on "detection" and "recognition" as fundamental tasks that underlie most complex behaviors. As defined here, they serve to distinguish between two alternative, confusable stimulus categories, which may be perceptual or cognitive categories in the psychology laboratory, or different states of the world in practical diagnostic tasks.
This book on signal detection theory in psychology was written by one of the developers of the theory, who co-authored with D.M. Green the classic work published in this area in 1966 (reprinted in 1974 and 1988). This volume reviews the history of the theory in engineering, statistics, and psychology, leading to the separate measurement of the two independent factors in all discrimination tasks, discrimination acuity and decision criterion. It extends the previous book to show how in several areas of psychology--in vigilance and memory--what had been thought to be discrimination effects were, in reality, effects of a changing criterion.
The book shows that data plotted in terms of the relative operating characteristic have essentially the same form across the wide range of discrimination tasks in psychology. It develops the implications of this ROC form for measures of discrimination acuity, pointing up the valid ones and identifying several common, but invalid, ones. The area under the binormal ROC is seen to be supported by the data; the popular measures "d'" and percent correct are not. An appendix describes the best, current programs for fitting ROCs and estimating their parameters, indices, and standard errors.
The application of ROC analysis to diagnostic tasks is also described. Diagnostic accuracy in a wide range of tasks can be expressed in terms of the ROC area index. Choosing the appropriate decision criterion for a given diagnostic setting--rather than considering some single criterion to be natural and fixed--has a major impact on the efficacy of a diagnostic process or system. Illustrated here by separate chapters are diagnostic systems in radiology, information retrieval, aptitude testing, survey research, and environments in which imminent dangerous conditions must be detected. Data from weather forecasting, blood testing, and polygraph lie detection are also reported. One of these chapters describes a general approach to enhancing the accuracy of diagnostic systems.

Written for social science scholars who want to learn more about the qualitative way of thinking, this book addresses the full continuum of issues about the qualitative methodologies. At one end of that continuum are the deeply philosophical concerns of ontology and epistemology. At the other -- concrete -- end of that continuum are the practical issues of what is considered evidence: How does one go about gathering evidence? Where, when, and how does one analyze evidence? What are the alternative ways of dealing with tone and voice in writing qualitative research? The attention to practical, concrete issues makes this book useful as a handbook providing a great deal of vital information to scholars who want a guide to making decisions as they navigate their research questions through the qualitative realm.
Uniquely qualified to write such a book, Potter has earned PhDs in both qualitative methods (with a concentration in linguistics and field studies) and in quantitative methods (with a concentration in social science theory and statistics). The book is not an ideological argument that glorifies one system of thinking while attempting to persuade the reader that other systems of thinking are bankrupt. Rather, the book presents a respectful, balanced analysis of the strengths and weaknesses of the qualitative approach.
The book builds to a controversial final chapter entitled "Is Convergence a Possibility?" in which Potter synthesizes a conclusion from his analysis of a wide range of qualitative studies across three broad topic areas -- text focused research, audience focused research, and institution focused research -- and across seven major qualitative methodologies -- ethnography, ethnomethodology, reception study, ecological psychology, symbolic interactionism, cultural studies, and textual analysis. His conclusion is that not only is there a possibility of a convergence between qualitative and quantitative approaches, but that the convergence has already happened.
The book includes an appendix in which 95 books and articles using the qualitative approach are abstracted and analyzed to illustrate key points of methodology and methods. It also includes subject and author indexes.

Neuropsychological and psychological evaluations in school settings are often rich in detail about a child's cognitive, academic and emotional functions, and come with specific recommendations to support the child's performance in school. However, there is often a gap between the assessment results and the implementation of the recommendations, since learning specialists and teachers frequently do not have the means to both interpret and implement the recommendations. This manual presents clear and specific guidelines for school counselors and teachers to decode and put into practice evaluation findings. The book begins by describing various functional domains that are assessed in a neuropsychological evaluation, and then notes how to recognize behavior and learning styles impacted by difficulty in one of more of the domains. Furthermore, it outlines activities that could be used in the classroom or other environments to support a child's weaknesses, develop new skills, or appear to particular strengths. Finally, ready-to-use worksheets and activities are offered. This is an essential tool for school psychologists, special education teachers, and learning specialists and counselors.

The model of therapy described in this book places the client firmly at the centre of the therapeutic process. Adjusted to the developmental life-pattern of the client, it shows how structured agreements related to both the duration and focus of a particular therapeutic relationship can be adapted to the client's needs at any one time. It offers clients the possibility of a flexible range of encounters with different practitioners and therapists, an ethical solution to contemporary dilemmas about short-term treatment. Including an insert card outlining key stage agreements, and linked case scenarios illustrating the personal development of nine characters. The book is intended for practitioners of all psychological therapies who are looking for a rigorous but flexible approach to empowering their clients.

Phil Fennell's tightly argued study traces the history of treatment of mental disorder in Britain over the last 150 years. He focuses specifically on treatment of mental disorder without consent within psychiatric practice, and on the legal position which has allowed it.
Treatment Without Consent examines many controversial areas: the use of high-strength drugs and Electro Convulsive Therapy, physical restraint and the vexed issue of the sterilisation of people with learning disabilities. Changing notions of consent are discussed, from the common perception that relatives are able to consent on behalf of the patient, to present-day statutory and common law rules, and recent Law Commission recommendations.
This work brings a complex and intriguing area to life; it includes a table of legal sources and an extensive bibliography. It is essential reading for historians, lawyers and all those who are interested in the treatment of mental disorder.

eBook available with sample pages: 0203417895

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. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. In this three-volume set covering ATLAS.ti, NVivo and MAXQDA, authors Nicholas Woolf and Christina Silver provide a comprehensive guide to qualitative data analysis using popular software packages. The first part of each 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 the package 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 the software package using the Five-Level QDA method. Each book is accompanied by three sets of video demonstrations on the Companion Website: https://www.qdaservices.co.uk/five-level-qda

Starting a research project, however large or small can be a daunting prospect. New researchers can be confronted with a huge number of options not only of topic, but of conceptual underpinning. It is quite possible to conduct research into say, memory, from a number of research traditions. Psychology also has links with several other disciplines and it is possible to utilise their techniques; the difficulty is quite simply the wide variety of methodological approaches that psychological research embraces. In this collection, authors have been recruited to explain a wide range of different research strategies and theories with examples from their own work. Their successes as well as the problems they encountered are explained to provide a comprehensive and practical guide for all new researchers. The collection will be a great help to undergraduates about to start final year projects and should be required reading for all those thinking of graduate level research.

This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

This text takes the guesswork out of using SPSS, with screenshots that show each step for calculating each statistic. It includes extensive coverage of how to format raw SPSS output for inclusion in research reports. End-of-chapter exercises help students master their newly acquired skills. An instructor's answer key will be included with each complimentary examination copy. New to this edition: This edition includes an abundance of instructional screenshots, all of which have been updated to reflect the new look of IBM SPSS Statistics Version 23. Instructor ancillaries that accompany this text include PowerPoints for classroom instruction, and test banks in text format and importable to Respondus.

Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details. This fourth edition is a revised and updated version of this bestselling introductory textbook. It retains the clear and concise style of the previous editions of the book and focuses on examples from biological and environmental sciences. The major update with this edition is that R code has been included for each of the analyses described, although in practice any standard statistical package can be used. The original idea with this book still applies. This was to make it as short as possible and enable readers to begin using multivariate methods in an intelligent manner. With updated information on multivariate analyses, new references, and R code included, this book continues to provide a timely introduction to useful tools for multivariate statistical analysis.

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the author's many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author's website.

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.

Any research that involves the use of the Rorschach or focuses on the nature of the Rorschach must be framed in the context of the basic principles that mark any scientific investigation. However, most texts concerning research design or data analysis do not deal directly with many of the unusual issues that confront investigators who use the Rorschach in their research. The nature of the test and test procedures are somewhat different than for most psychological tests, and, often, these special characteristics become critical when research designs are formulated. Similarly, some of the data of the tests are quite different from the customary distributions yielded by other psychological tests. Thus special care must be exercised when considering the variety of tactics that might might be used in analyzing the test data.
This text is unique in that it is specific to the Rorschach. Bringing together experts on Rorschach research, this volume presents in-depth treatments of every facet of methodology -- from design to analysis -- as well as more conceptual issues. It is designed to aid investigators in contending effectively with the many difficult challenges that are often encountered in Rorschach research.
This work adds to the information already available to the accomplished researcher as well as provide some enlightenment for the Rorschach research novice. It dispels the notion that rote methodology or analyses can be applied routinely to studies involving the Rorschach. And it helps to improve the quality of investigations in which the test is included, and contribute in some way to the improvement of the overall research yield in the Rorschach community.

Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.

For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Designed to be consulted when learning formal statistical techniques, the text describes common instances of both correct and false statistical and probabilistic reasoning. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. The historical vignettes encompass the English case of Sally Clark, breast cancer screening, risk and gambling, the Federal Rules of Evidence, "high-stakes" testing, regulatory issues in medicine, difficulties with observational studies, ethics in human experiments, health statistics, and much more. In addition to these topics, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation. Exploring the intersection of ethics and statistics, this comprehensive guide assists readers in becoming critical and ethical consumers and producers of statistical reasoning and analyses. It will help them reason correctly and use statistics in an ethical manner.

Originally published in 1976, the authors of six of the most widely quoted works in behavioural science related to education, at the time, here describe in detail their research work, including its origins, planning and implementation. The accounts are unusual, not only for their technical detail but for their candour. The brief was to put the heart and brains back into accounts of research so the authors comment not only on the research design, but on the personal and professional problems they had to overcome. They also reflect on the reception of their work, and the way in which it has been adapted, misunderstood or deliberately distorted to support arguments of widely differing ideological pressure groups. The book shows how ingenuity and persistence as well as technical competence lie at the heart of the research process. The authors do not give the normal depersonalised, streamlined account which gives a false, mechanical picture of research as an occupation, but show it to be a profound personal and professional experience as they comment on the thought that lay behind their work and the way it was finally produced for publication. Dr Shipman has written a short introduction to each chapter, and contributed a concluding chapter relating the six research experiences to conventional views on the research process and to the part played by research evidence in policy making.