Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.

This comprehensive volume explores the set of theoretical, methodological, ethical and analytical issues that shape the ways in which visual qualitative research is conducted in psychology. Using visual data such as film making, social media analyses, photography and model making, the book uniquely uses visual qualitative methods to broaden our understanding of experience and subjectivity. In recent years, visual research has seen a growing emphasis on the importance of culture in experience-based qualitative methods. Featuring contributors from diverse research backgrounds including narrative psychology, personal construct theory and psychoanalysis, the book examines the potential for visual methods in psychology. In each chapter of the book, the contributors explore and address how a visual approach has contributed to existing social and psychological theory in their line of research. The book provides up-to-date insights into combining methods to create new multi-modal methodologies, and analyses these with psychology-specific questions in mind. It covers topics such as sexuality, identity, group processes, child development, forensic psychology, race and gender, and would be the ideal companion for those studying or undertaking research in disciplines like psychology, sociology and gender studies.

This book is in celebration of the seminal work of Roderick P. McDonald whose career has spanned over forty years and three continents. His work in factor analysis, structural modeling, multivariate analysis, and test theory has inspired the research of many of the leading scholars in these fields. All of the book's cutting edge chapters are contributions from Rod's former students, fellow researchers, and/or long time friends. Contemporary Psychometrics features four diverse sections: test theory, factor analysis, structural equation modeling, and multivariate analysis. All of the chapters address key issues in psychometrics using the most contemporary methods possible. The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and a reflection on basic measurement issues that are often neglected. The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates. latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, the psychological processes with dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data. The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and concludes with a discussion of the themes that run through all multivariate methods. The tour de force through contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.

Exner's Comprehensive System has attracted so much attention in recent years that many clinicians and personality researchers are unaware that alternative Rorschach scoring systems exist. This is unfortunate, because some of these systems have tremendous clinical value. Scoring the Rorschach: Seven Validated Systems provides detailed reviews of the best-validated alternative approaches, and points to promising new paths towards the continued growth and refinement of Rorschach interpretation. The editors set the stage with an extended introduction to historical controversies and cutting-edge empirical methods for Rorschach validation. Each chapter presents a different Rorschach scoring system. A brief history is followed by detailed information on scoring and interpretation, a comprehensive summary of evidence bearing on construct validity, and discussion of clinical applications, empirical limitations, and future directions. A user-friendly scoring "manual" for each system offers readers practical guidance. The systems tap a broad array of content areas including ego defenses, thought disorder, mental representations of self and others, implicit motives, personality traits, and potential for psychotherapy. All psychologists seriously engaged in the work of personality assessment will find in this book welcome additions to their professional toolkits.

This is the first book devoted to the use of social media and other internet-derived data in forming forensic clinical opinions of behavior. Designed for mental health practitioners, it outlines the challenges and the benefits of incorporating digital information in forensic assessments. It offers best practice guidelines geared to both criminal and civil psycho-legal questions. Each chapter includes a brief overview of the psycho-legal issues, clinical applications of consulting internet-based data, ethical and legal considerations and real life, de-identified case examples. This book provides guidance to the clinician in an emerging technological environment in which there are few resources, and ensures a more scientific and legally sound practice.

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, "The Handbook of Data Mining" presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bioinformatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality.
This "Handbook" is ideal for researchers and developers who want to use data mining techniques to derive scientific inferences where extensive data is available in scattered reports and publications. It is also an excellent resource for graduate-level courses on data mining and decision and expert systems methodology.

Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more.

Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Table of Contents

Preface

Scatterplots and Maps

Profiles and the Profile Space

Masses and Centroids

Chi-Square Distance and Inertia

Plotting Chi-Square Distances

Reduction of Dimensionality

Optimal Scaling

Symmetry of Row and Column Analyses

Two-Dimensional Maps

Three More Examples

Contributions to Inertia

Supplementary Points

Correspondence Analysis Biplots

Transition and Regression Relationships

Clustering Rows and Columns

Multiway Tables

Stacked Tables

Multiple Correspondence Analysis

Joint Correspondence Analysis

Scaling Properties of MCA

Subset Correspondence Analysis

Analysis of Matches Matrices

Analysis of Square Tables

Correspondence Analysis of Networks

Data Recoding

Canonical Correspondence Analysis

Co-Inertia and Co-Correspondence Analysis

Aspects of Stability and Inference

Permutation Tests

Appendix A: Theory of Correspondence Analysis

Appendix B: Computation of Correspondence Analysis

Appendix C: Bibliography of Correspondence Analysis

Appendix D: Glossary of Terms

Appendix E: Epilogue

Index

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

This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world. Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.

The normal distribution is widely known and used by scientists and engineers. However, there are many cases when the normal distribution is not appropriate, due to the data being skewed. Rather than leaving you to search through journal articles, advanced theoretical monographs, or introductory texts for alternative distributions, the Handbook of Exponential and Related Distributions for Engineers and Scientists provides a concise, carefully selected presentation of the properties and principles of selected distributions that are most useful for application in the sciences and engineering. The book begins with all the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. This includes inference, decision theory, and computational aspects including the popular Bootstrap method. The authors then examine four skewed distributions in detail: exponential, gamma, Weibull, and extreme value. For each one, they discuss general properties and applicability to example data sets, theoretical characterization, estimation of parameters and related inferences, and goodness of fit tests. The final chapter deals with system reliability for series and parallel systems. Presenting methods based on statistical simulations and numerical computations, the Handbook of Exponential and Related Distributions for Engineers and Scientists supplies hands-on tools for applied researchers in need of practical tools for data analysis.

Emerging from a qualitative research study on the rehabilitation experiences of adult male probationers with mental health illness, this book describes the treatment and rehabilitation experiences of these individuals and contextualizes their experiences within the landscape of mental health treatment in the United States. Often underserved in outpatient community support programs, probationers with mental health illness (PMIs) face stigma and obstacles in seeking mental health treatment and rehabilitation. Examining the lived experiences of both PMIs and their probation officers, this book offers insights into the study of stigma as it relates to probationers and the work of probation officers in furthering treatment and rehabilitation options for PMIs.

The development of communication as a discipline has resulted in an explosion of scales tapping various aspects of interpersonal, mass, organizational, and instructional communication. These scales are scattered across a bewildering array of journals, books, dissertations, and research reports--a situation that often hinders awareness and use of particular measures. Intended as a partial remedy to the situation, this sourcebook brings together a variety of scales that measure a number of important communication constructs. The scales presented are drawn from areas of interpersonal, mass, organizational, and instructional communication--areas in which the use of formal, quantitative scales is particularly well developed. "Communication Research Measures" reflects the recent important emphasis on developing and improving the measurement base of the communication discipline. It results in an equal amount of labor saved on the part of the scholars, students, and practitioners who find this book useful, and it contributes in a significant way to research efforts.
Originally published by Guilford Press in 1994, now available from LEA.

Practical Handbook of Curve Fitting is a reference work assembled by Arlinghaus and a set of editors with well over a century of combined experience in various disciplines and activities related to curve fitting. The book demonstrates how to analyze World data bases and graph and map the results. Default settings in software packages can produce attractive graphs of data imported into the software. Often, however, the default graph has no equation associated with it and cannot therefore be used as a tool for further analysis or projection of the data. The same software can often be used to generate curves from equations. The reader is shown directly, and in a series of steps, how to fit curves to data using Lotus 1-2-3. There are traditional unbounded curve fitting techniques-lines of least squares, exponentials, logistic curves, and Gompertz curves. There is the bounded curve fitting technique of cubic spline interpolation. Beyond these, there is a detailed application of Feigenbaum's graphical analysis from chaos theory, and there is a hint as to how fractal geometry might come into play. Curve fitting algorithms take on new life when they are actually used on real-world data. They are used in numerous worked examples drawn from electronic data bases of public domain information from the Stars data base of The World Bank and from the WRD data base of the World Resources Institute. The applications are current and reflect a state-of-the-art interest in the human dimensions of global change.

Test-based psychological assessment has been significantly affected by the health care revolution in the United States during the past two decades. Despite new limitations on psychological services across the board and psychological testing in particular, it continues to offer a rapid and efficient method of identifying problems, planning and monitoring a course of treatment, and assessing the outcomes of interventions. This thoroughly revised and greatly expanded third edition of a classic reference, now three volumes, constitutes an invaluable resource for practitioners who in a managed care era need to focus their testing not on the general goals of personality assessment, symptom identification, and diagnosis so often presented to them as students and trainees, but on specific questions: What course of treatment should this person receive? How is it going? Was it effective? New chapters describe new tests and models and new concerns such as ethical aspects of outcomes assessment. Volume I reviews general issues and recommendations concerning the use of psychological testing for screening for psychological disturbances, planning and monitoring appropriate interventions, and the assessing outcomes, and offers specific guidelines for selecting instruments. It also considers more specific issues such as the analysis of group and individual patient data, the selection and implementation of outcomes instrumentation, and the ethics of gathering and using outcomes data. Volume II discusses psychological measures developed for use with younger children and adolescents that can be used for the purposes outlined in Volume I; Volume III, those developed for use with adults. Drawing on the knowledge and experience of a diverse group of leading experts--test developers, researchers, clinicians and others, the third edition of The Use of Psychological Testing for Treatment Planning and Outcomes Assessment provides vital assistance to all clinicians, and to their trainees and graduate students.

This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books. Moreover, it presents numerous empirical examples from the author's extensive research experience, particularly real data sets from multinational surveys.

Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for surveys that require high levels of participation, include difficult-to-survey populations, and collect biophysical data. Survey interviewing is complex, multifaceted, and challenging. Interviewers are responsible for locating sampled units, contacting sampled individuals and convincing them to cooperate, asking questions on a variety of topics, collecting other kinds of data, and providing data about respondents and the interview environment. Careful attention to the methodology that underlies survey interviewing is essential for interviewer-administered data collections to succeed. In 2019, survey methodologists, survey practitioners, and survey operations specialists participated in an international workshop at the University of Nebraska-Lincoln to identify best practices for surveys employing interviewers and outline an agenda for future methodological research. This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing. Chapters include: The legacy of Dr. Charles F. Cannell's groundbreaking research on training survey interviewers and the theory of survey interviewing Best practices for training survey interviewers Interviewer management and monitoring during data collection The complex effects of interviewers on survey nonresponse Collecting survey measures and survey paradata in different modes Designing studies to estimate and evaluate interviewer effects Best practices for analyzing interviewer effects Key gaps in the research literature, including an agenda for future methodological research Chapter appendices available to download from https://digitalcommons.unl.edu/sociw/ Written for managers of survey interviewers, survey methodologists, and students interested in the survey data collection process, this unique reference uses the Total Survey Error framework to examine optimal approaches to survey interviewing, presenting state-of-the-art methodological research on all stages of the survey process involving interviewers. Acknowledging the important history of survey interviewing while looking to the future, this one-of-a-kind reference provides researchers and practitioners with a roadmap for maximizing data quality in interviewer-administered surveys.

This invaluable resource presents a state-of-the-art account of the psychology of pain from leading researchers. It features contributions from clinical, social, and biopsychological perspectives, the latest theories of pain, as well as basic processes and applied issues. The book opens with an introduction to the history of pain theory and the epidemiology of pain. It then explores theoretical work, including the gate control theory/neuromatrix model, as well as biopsychosocial, cognitive/behavioral, and psychodynamic perspectives. Issues, such as the link between psychophysiological processes and consciousness and the communication of pain are examined. Pain over the life span, ethno-cultural, and individual differences are the focus of the next three chapters. Pain: Psychological Perspectives addresses current clinical issues: * pain assessment and acute and chronic pain interventions; * the unavailability of psychological interventions for chronic pain in a number of settings, the use of self-report, and issues related to the implementation of certain biomedical interventions; and * the latest ethical standards and the theories. Intended for practitioners, researchers, and students involved with the study of pain in fields such as clinical and health psychology, this book will also appeal to physicians, nurses, and physiotherapists. Pain is ideal for advanced courses on the psychology of pain, pain management, and related courses that address this topic.

Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, such data are called official statistics. They are reported by the media, used by politicians to lend weight to their arguments, and by economic commentators to opine about the state of society. Despite such widescale use, explanations about how these measures are constructed are seldom provided for a non-technical reader. This Measuring Society book is a short, accessible guide to six topics: jobs, house prices, inequality, prices for goods and services, poverty, and deprivation. Each relates to concepts we use on a personal level to form an understanding of the society in which we live: We need a job, a place to live, and food to eat. Using data from the United States, we answer three basic questions: why, how, and for whom these statistics have been constructed. We add some context and flavor by discussing the historical background. This book provides the reader with a good grasp of these measures. Chaitra H. Nagaraja is an Associate Professor of Statistics at the Gabelli School of Business at Fordham University in New York. Her research interests include house price indices and inequality measurement. Prior to Fordham, Dr. Nagaraja was a researcher at the U.S. Census Bureau. While there, she worked on projects relating to the American Community Survey.

Contents:
Strategic Therapy. Ethnicity Issues in Strategic Therapy. Strategic Therapy with Couples. Family Therapy at a Distance - a Case of Depression. Changing a Violent Family. Compulsory Therapy - a Case of Violence. Paradox and Play with Children: The Boy Who can't stop Fighting. Mother Daughter Incest. Cultural Confusions: How Many Clients are in One Body? A Positive Approach with Psychotic Couples. Appendix A: Case Report: How to Unbalance a Couple. Appendix B: Supplemental.

Behavioral medicine has now matured as a field to the point where all recognize that different populations are presented with different issues. Psychological reactions and patterns affect the health and well-being of children, as well as adults, and numerous standardized instruments for the assessment of a variety of areas of children's functioning are currently available. Yet, it can be difficult for practitioners and researchers searching through general compendia of resources for child assessment--which are frequently focused on general techniques rather than specific instruments--to identify the optimal ones to meet their particular needs and to choose among them.
This practical and comprehensive reference guide is the first to sort, present, and review all the measures that can be used to evaluate the behavioral, cognitive, and emotional aspects of children's health. It organizes the measures under eight general headings, such as quality of life, adherence, pain management, and patient satisfaction. Each chapter begins with a leading authority's overview of the underlying theoretical construct and any concerns about how to measure it. Descriptions and reviews of relevant instruments follow; these include information on administration, scoring, psychometric properties, and ordering, as well as comments by the instruments' developers.
"Assessing Children's Well-Being: A Handbook of Measures" will be welcomed by all those professionals and scientists who seek to assess and effectively address the complex interactions between physical health and mental health in children.

One of the greatest changes in the sports world in the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Second Edition provides a concise yet thorough introduction to the analytic and statistical methods that are useful in studying sports. The book gives you all the tools necessary to answer key questions in sports analysis. It explains how to apply the methods to sports data and interpret the results, demonstrating that the analysis of sports data is often different from standard statistical analyses. The book integrates a large number of motivating sports examples throughout and offers guidance on computation and suggestions for further reading in each chapter. Features Covers numerous statistical procedures for analyzing data based on sports results Presents fundamental methods for describing and summarizing data Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data Explains the statistical reasoning underlying the methods Illustrates the methods using real data drawn from a wide variety of sports Offers many of the datasets on the author's website, enabling you to replicate the analyses or conduct related analyses New to the Second Edition R code included for all calculations A new chapter discussing several more advanced methods, such as binary response models, random effects, multilevel models, spline methods, and principal components analysis, and more Exercises added to the end of each chapter, to enable use for courses and self-study Full solutions manual available to course instructors.

A special issue of the Peabody Journal of Education looking at contemporary issues in psychological and educational assessment.

Psychologists are under increasing pressure to demonstrate the ecological validity of their assessment procedures--to show that the recommendations concluding their evaluations are relevant to urgent concerns in the legal and social policy arenas, such as predicting dangerousness, awarding compensation, and choosing a custodial parent. How much damage does a referred patient have? Who or what "caused" the damage? What impact will it have on his or her future life, work, and family? And what can be done to remediate the damage?
The purpose of this book is to provide "sound objective" methods for answering these questions. It integrates the knowledge of experienced practitioners who offer state-of-the-art summaries of the best current approaches to evaluating difficult cases with that of basic theorists who describe emerging methods in both predictive and inferential statistics, such as Bayesian networks, that have proven their value in other scientific fields. Arguably, the enterprise of psychological assessment is so interdependent with that of data analysis that attempts to make inferences without consideration of statistical implications is malpractice. "Prediction in Forensic and Neuropsychology: Sound Statistical Practices" clarifies the process of hypothesis testing and helps to push the clinical interpretation of psychological data into the 21st century. It constitutes a vital resource for all the stakeholders in the assessment process--practitioners, researchers, attorneys, and policymakers.

Originally published in 1972, there were many 'classics' dealing with assessment and testing on the market at the time, but most of these left the inexperienced reader bewildered in the early stages, because of their size and insufficient explanation of the many technical terms used. There were a distinct lack of books which gave students in Colleges of Education dealing with psychology for the first time a simple explanation of basic terms in assessment and testing, and which introduced them briefly to the different types of tests available. Assessment and Testing aimed to fill this large gap. It looks at such key psychological terms as 'sample', 'objectivity', 'subjectivity', and such basic statistical terms such as 'mean', 'standard deviation', and 'normal curve of distribution'. Because it assumes that the reader has no knowledge of such terms, it gives careful and simply illustrated explanations of each. In the same way, in simple language, with any technical terms explained and illustrated, it explains intelligence and personality tests, questionnaires, sociometric measures, projection techniques, and other areas of assessment and testing which every practising teacher will meet. The book aims to be essentially practical. It is appreciated all the time that the readers are those who will teach children. It is designed to provide a solid foundation upon which the reader can build later to augment his own experience of identifying children's particular needs.

Significantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearl's structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and a new self-test on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition *Chapters on composite SEM, also called partial least squares path modeling or variance-based SEM; conducting SEM analyses in small samples; and recent developments in mediation analysis. *Coverage of new reporting standards for SEM analyses; piecewise SEM, also called confirmatory path analysis; comparing alternative models fitted to the same data; and issues in multiple-group SEM. *Extended tutorials on techniques for dealing with missing data in SEM and instrumental variable methods to deal with confounding of target causal effects. Pedagogical Features *New self-test of knowledge about background topics (significance testing, regression, and psychometrics) with scoring key and online primers. *End-of-chapter suggestions for further reading and exercises with answers. *Troublesome examples from real data, with guidance for handling typical problems in analyses. *Topic boxes on special issues and boxed rules to remember. *Website promoting a learn-by-doing approach, including data, extensively annotated syntax, and output files for all the book's detailed examples.