Download or read book New Ideas in Quantitative Psychology and Measurement written by Ioannis Tsaousis and published by Frontiers Media SA. This book was released on 2024-09-12 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Validity of scores is the ultimate goal of measurement. The concept of measurement validity is severely challenged for methodological and statistical decisions during the assessment and analysis process. Thus, the present Research Topic is proposed as a means to provide new knowledge and ideas related to measurement. It is designed to address issues of measurement reliability and validity, new advances in the measurement of these concepts and the methodologies involved to attain them. The use of new software and routines will target at making accessible these concepts so that the papers will be easily accessible by a broad audience of researchers in the social sciences. The goal of the present proposal is to provide new knowledge in psychometrics. Topics of interest are the following but are not limited to those. Any work related to improving measurement is potentially of interest to this issue. Examples include confirmatory factor analysis, item response theory, measurement invariance, Bayesian applications of measurement, reliability in longitudinal designs, invariance in longitudinal and cross-sectional designs, parametric and non-parametric extension of item response models, analysis of response times, analyses of aberrant behavior, systematic measurement error, the roles of personal characteristics in measurement, scaling systems and evaluation, item position effects, analysis of distractors, detection of cheating and guessing, nested model applications of the above concepts, latent class and latent profile models, cognitive diagnostic models, classification models, computerized adaptive testing, multistage testing, cross-validation, simulations of all the above, power analyses, extension of descriptive fit indices, analysis of response vectors, etc. Applications of the above concepts and use of specific software routines is especially encouraged.
Download or read book Measurement in Psychology written by Joel Michell and published by Cambridge University Press. This book was released on 2005-10-20 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book traces how such a seemingly immutable idea as measurement proved so debatable when it collided with the subject matter of psychology. This book addresses philosophical and social influences (such as scientism, practicalism, and Pythagoreanism) reshaping the concept of measurement and identifies a fundamental problem at the core of this reshaping: the issue of whether psychological attributes really are quantitative. The author argues that the idea of measurement now endorsed within psychology actually subverts attempts to establish a genuinely quantitative science, and he urges a new direction. This volume relates views on measurement by thinkers such as Hölder, Russell, Campbell, and Nagel to earlier views, like those of Euclid and Oresme. Within the history of psychology, it considers contributions by Fechner, Cattell, Thorndike, Stevens and Suppes, among others. It also contains a nontechnical exposition of conjoint measurement theory and recent foundational work by leading measurement theorist R. Duncan Luce. This thought-provoking book will be particularly valued by researchers in the fields of psychological history and philosophy of science.
Download or read book The SAGE Handbook of Quantitative Methods in Psychology written by Roger E Millsap and published by SAGE Publications. This book was released on 2009-08-05 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: `I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
Download or read book The SAGE Handbook of Quantitative Methodology for the Social Sciences written by David Kaplan and published by SAGE. This book was released on 2004-06-21 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Download or read book Best Practices in Quantitative Methods written by Jason W. Osborne and published by SAGE. This book was released on 2008 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Download or read book Quantitative Psychology written by M. Nowakowska and published by Elsevier. This book was released on 2000-04-01 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining selected statistical and modeling approaches in psychology, the book concentrates on the topics of mental test theory and theory of measurement. The main objective is not only to present a critical view of the approaches suggested up until now, but also their reinterpretation, extension and enrichment by new theories and concepts, for example, formal theories of semiotics and knowledge, and a unifying theory of actions.The book also shows a relation between test theory and the foundations of fuzzy set theory. It presents new models of measurement tools and new measurement theories of concepts such as objective and subjective time, risk or utility, and discusses the cognitive foundations of these theories, namely the theory of perception and observability.
Download or read book Social Science Concepts and Measurement written by Gary Goertz and published by Princeton University Press. This book was released on 2020-09-29 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised edition of the author's Social science concepts, c2006.
Download or read book Quantitative Research in Education written by Wayne K. Hoy and published by SAGE Publications. This book was released on 2015-07-22 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book provides a reference point for beginning educational researchers to grasp the most pertinent elements of designing and conducting research..." —Megan Tschannen-Moran, The College of William & Mary Quantitative Research in Education: A Primer, Second Edition is a brief and practical text designed to allay anxiety about quantitative research. Award-winning authors Wayne K. Hoy and Curt M. Adams first introduce readers to the nature of research and science, and then present the meaning of concepts and research problems as they dispel notions that quantitative research is too difficult, too theoretical, and not practical. Rich with concrete examples and illustrations, the Primer emphasizes conceptual understanding and the practical utility of quantitative methods while teaching strategies and techniques for developing original research hypotheses. The Second Edition includes suggestions for empirical investigation and features a new section on self-determination theory, examples from the latest research, a concluding chapter illustrating the practical applications of quantitative research, and much more. This accessible Primer is perfect for students and researchers who want a quick understanding of the process of scientific inquiry and who want to learn how to effectively create and test ideas.
Download or read book From Modern to Postmodern Psychology Is There a Way Past written by Barbara Hanfstingl and published by Frontiers Media SA. This book was released on 2023-03-31 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analyzing Quantitative Data written by Norman Blaikie and published by SAGE. This book was released on 2003-03-06 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.
Download or read book Quantitative Psychology written by Marie Wiberg and published by Springer Nature. This book was released on 2020-07-23 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Católica de Chile and held in Santiago, Chile during July 15th to 19th, 2019. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included 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 8th in a series of recent volumes to cover research presented at the IMPS.
Download or read book Measurement Models for Psychological Attributes written by Klaas Sijtsma and published by CRC Press. This book was released on 2020-10-22 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the overwhelming use of tests and questionnaires, the psychometric models for constructing these instruments are often poorly understood, leading to suboptimal measurement. Measurement Models for Psychological Attributes is a comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences. The monograph explains the adequate use of measurement models for test construction, points out their merits and drawbacks, and critically discusses topics that have raised and continue to raise controversy. Because introductory texts on statistics and psychometrics are sufficient to understand its content, the monograph may be used in advanced courses on applied psychometrics, and is attractive to both researchers and graduate students in psychology, education, sociology, political science, medicine and marketing, policy research, and opinion research. The monograph provides an in-depth discussion of classical test theory and factor models in Chapter 2; nonparametric and parametric item response theory in Chapter 3 and Chapter 4, respectively; latent class models and cognitive diagnosis models in Chapter 5; and discusses pairwise comparison models, proximity models, response time models, and network psychometrics in Chapter 6. The chapters start with the theory and methods of the measurement model and conclude with a real-data example illustrating the measurement model.
Download or read book Statistical Methods for the Social and Behavioural Sciences written by David B. Flora and published by SAGE. This book was released on 2017-12-11 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.
Download or read book New Developments in Quantitative Psychology written by Roger E. Millsap and published by Springer Science & Business Media. This book was released on 2014-02-04 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology. The conference included workshops, invited talks by well-known scholars, and presentations of submitted papers and posters. It was hosted by the University of Nebraska-Lincoln and took place between the 9th and 12th of July, 2012. The chapters of this volume are based on presentations from the meeting and reflect the latest work in the field. Topics with a primarily measurement focus include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Additional psychometric topics relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others. The papers in this volume will be especially useful for researchers (graduate students and other quantitative researchers) in the social sciences who use quantitative methods, particularly psychologists. Most readers will benefit from some prior knowledge of statistical methods in reading the chapters.
Download or read book Problematic Research Practices and Inertia in Scientific Psychology written by James T. Lamiell and published by Routledge. This book was released on 2020-11-04 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the abiding intellectual inertia in scientific psychology in relation to the discipline’s engagement with problematic beliefs and assumptions underlying mainstream research practices, despite repeated critical analyses which reveal the weaknesses, and in some cases complete inappropriateness, of these methods. Such paradigmatic inertia is especially troublesome for a scholarly discipline claiming status as a science. The book offers penetrating analyses of many (albeit not all) of the most important areas where mainstream practices require either compelling justifications for their continuation or adjustments – possibly including abandonment – toward more apposite alternatives. Specific areas of concern addressed in this book include the systemic misinterpretation of statistical knowledge; the prevalence of a conception of measurement at odds with yet purporting to mimic the natural sciences; the continuing widespread reliance on null hypothesis testing; and the continuing resistance within psychology to the explicit incorporation of qualitative methods into its methodological toolbox. Broader level chapters examine mainstream psychology’s systemic disregard for critical analysis of its tenets, and the epistemic and ethical problems this has created. This is a vital and engaging resource for researchers across psychology, and those in the wider behavioural and social sciences who have an interest in, or who use, psychological research methods.
Download or read book Psychological and Social Measurement written by Mark Wilson and published by Springer. This book was released on 2017-12-22 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this tribute to Benjamin Wright, former students and colleagues recall the foundational contributions he made to the theory and practice of measurement in a career spanning over five decades. Wright is recognized as the foremost proponent of the psychometric approach of Georg Rasch, a Danish mathematician, whose ideas continue to provoke controversy. Wright’s colleagues and students, and students of their students, are leaders in educational research and practice around the world. This volume relates the extent of Wright’s influence far beyond education and psychology, where his work in measurement began, into health care and the social sciences at large. The editors and contributors—all leading measurement scholars—trace the development of themes in Wright’s work, identifying the roots of today’s formative assessment methods, the integration of quantitative and qualitative data, and the contrast between scientific and statistical methods. These previously unpublished papers reflect on Wright’s lifelong passion for making measurement both more scientific and more meaningful. They recount how Wright’s insight, energy, and gregarious nature led him to produce multiple innovations in computing, estimation methods, model development, fit assessment, and reliability theory, stimulating practical applications in dozens of fields, serving on over 120 dissertation committees, and founding several professional societies. The volume includes three reprinted articles by Wright that provide insights into his early engagement with Rasch’s ideas. Psychological and Social Measurement will be welcomed by the broad international measurement community of professionals and researchers working in such diverse fields as education, psychology, health sciences, management, and metrology. Scientists working in any field involving measurement science and technology will appreciate an inside look at this seminal figure and a new perspective on the expanding conversation across the sciences about measurement and the communication of meaningful, transparent information.
Download or read book Mixed Methods for Psychological Measurement written by David F. Feldon and published by Taylor & Francis. This book was released on 2024-06-21 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a groundbreaking approach to measurement from a mixed methodological perspective, reframing the concept of incommensurability to harmonize qualitative and quantitative data in analyses. It draws upon critical realism, latent variable theory, and phenomenography to illustrate how idiographic data can be incorporated into the development and validation of psychological measures. The text delves into foundational methodological assumptions, explores item and instrument validation techniques, and addresses issues of invariance. It further elucidates the application of idiographic strategies in conjunction with differential item function (DIF), item parameter drift (IPD), latent growth models, and the evaluation of measurement models. This innovative framework offers researchers robust tools for integrating diverse data types, enhancing the validity and reliability of their findings, and articulates ways in which these tools can be integrated into critical quantitative perspectives. It is an invaluable resource for anyone seeking to deepen their understanding of mixed methodologies and measurement. It will appeal to scholars, researchers, and students whose goals are to integrate different modes of data, examine alternative perspectives on measurement, and apply new tools to psychological and social research.