Person Level Assessment Of Measurement Invariance
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Person Level Assessment Of Measurement Invariance
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Author : Gregor Sočan
language : en
Publisher:
Release Date : 2021
Person Level Assessment Of Measurement Invariance written by Gregor Sočan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Existing procedures for testing measurement invariance focus mainly on group-level comparisons rather than individual comparisons (i.e., the main conclusion typically concerns the question of comparability of group means). We propose a set of intuitive graphical displays called Person-Level Assessment of Measurement Invariance (PLAMI), which attempt to provide information about the effect of the lack of measurement invariance on the level of person scores. This information complements the group-level information contained in model fit indices and overall effect size indices, and should be especially useful for practitioners using tests for individual diagnostics. PLAMI uses results from the multiple-group factor analysis to estimate and visualize score distortions in terms of expected score difference between members of different groups and the probability of an unacceptably high score difference, conditional for the value of latent trait. The stability of the results can be evaluated by means of resampling. Simulation can be used for an a priori evaluation of the sample size adequacy. We illustrate the proposed plots on two real examples involving testing measurement invariance of the Machiavellianism scale, and we demonstrate the added value of PLAMI compared to the use of fit indices alone.
Testing The Assumption Of Cross Level Measurement Invariance In Multilevel Models
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Author : Jonathan Schweig
language : en
Publisher:
Release Date : 2013
Testing The Assumption Of Cross Level Measurement Invariance In Multilevel Models written by Jonathan Schweig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Measures of classroom and school environments are a central component of policy efforts that assess school and teacher quality. These measures are often formed by aggregating individual survey responses to form group-level measures, and assume an invariant measurement model holds at both the individual and group level. This paper explores the tenability of this assumption by applying multilevel factor analysis to two well-known surveys: the Working Conditions Survey, which assesses school environments, and the Tripod Classroom Environment Survey. The examples illustrate the consequences of using common factor analytic methods that assume cross-level invariance. Importantly, distorted perceptions of factorial structure can obscure the assessment of intervention effectiveness on key classroom outcomes, or the role of classrooms as mediators of educational interventions.
Statistical Methods For Validation Of Assessment Scale Data In Counseling And Related Fields
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Author : Dimiter M. Dimitrov
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-03
Statistical Methods For Validation Of Assessment Scale Data In Counseling And Related Fields written by Dimiter M. Dimitrov and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-03 with Psychology categories.
“Dr. Dimitrov has constructed a masterpiece—a classic resource that should adorn the shelf of every counseling researcher and graduate student serious about the construction and validation of high quality research instruments. —Bradley T. Erford, PhD Loyola University Maryland Past President, American Counseling Association “This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. It is certain to become a definitive reference for both novice and experienced researchers alike.” —George A. Marcoulides, PhD University of California, Riverside This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed, along with key steps in instrument development. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. Traditional and Rasch-based analyses of binary and rating scales are examined in Part III. Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application. *Requests for digital versions from ACA can be found on www.wiley.com. *To purchase print copies, please visit the ACA website here. *Reproduction requests for material from books published by ACA should be directed to [email protected]
Measurement Invariance
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Author : Rens Van De Schoot
language : en
Publisher: Frontiers Media SA
Release Date : 2015-10-05
Measurement Invariance written by Rens Van De Schoot and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Psychology categories.
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitudes and behavior. Such studies often include a comparison, between specific groups of individuals, either at one or multiple points in time. If such latent factor means are to be meaningfully compared, the measurement structures including the latent factor and their survey items should be stable across groups and/or over time, that is ‘invariant’. Recent developments in statistics have provided new analytical tools for assessing measurement invariance (MI). The aim of this special issue is to provide a forum for a discussion of MI, covering some crucial ‘themes’: (1) ways to assess and deal with measurement non-invariance; (2) Bayesian and IRT methods employing the concept of approximate measurement invariance; and (3) new or adjusted approaches for testing MI to fit increasingly complex statistical models and specific characteristics of survey data. The special issue started with a kick-off meeting where all potential contributors shared ideas on potential papers. This expert workshop was organized at Utrecht University in The Netherlands and was funded by the Netherlands Organization for Scientific Research (NWO-VENI-451-11-008). After the kick-off meeting the authors submitted their papers, all of which were reviewed by experts in the field. The papers in the eBook are listed in alphabetical order, but in the editorial the papers are introduced thematically. Although it is impossible to cover all areas of relevant research in the field of MI, papers in this eBook provide insight on important aspects of measurement invariance. We hope that the discussions included in this special issue will stimulate further research on MI and facilitate further discussions to support the understanding of the role of MI in multi-item surveys.
Assessing Measurement Invariance For Applied Research
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Author : Craig S. Wells
language : en
Publisher: Cambridge University Press
Release Date : 2021-06-03
Assessing Measurement Invariance For Applied Research written by Craig S. Wells and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Education categories.
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Invariant Measurement With Raters And Rating Scales
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Author : George Engelhard Jr.
language : en
Publisher: Routledge
Release Date : 2017-12-15
Invariant Measurement With Raters And Rating Scales written by George Engelhard Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Business & Economics categories.
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.
Invariant Measurement
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Author : George Engelhard Jr.
language : en
Publisher: Routledge
Release Date : 2013-05-07
Invariant Measurement written by George Engelhard Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-07 with Psychology categories.
This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and how to use invariant measurement to solve measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout but a comparison of Rasch models to other item response theory (IRT) models is also provided. Written with students in mind, the manuscript was class tested to help maximize accessibility. Chapters open with an introduction and close with a summary and discussion. Numerous examples and exercises demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and in an end-of-text glossary. All of the book’s analyses were conducted with the Facets program. The data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, links to related websites, and other material are available at www.GeorgeEngelhard.com. Highlights include: A strong philosophical and methodological approach to measurement in the human sciences Demonstrations of how measurement problems can be addressed using invariant measurement Practical illustrations of how to create and evaluate scales using invariant measurement A history of measurement based on test-score and scaling traditions Previously unpublished work in analyzing rating data, the detection and measurement of rater errors, and the evaluation of rater accuracy A review of estimation methods, model-data fit, indices used to evaluate the quality of rater-mediated assessments, rater error and bias, and rater accuracy. Intended as a supplementary text for graduate or advanced undergraduate courses on measurement or test theory, item response theory, scaling theory, psychometrics, advanced measurement techniques, research methods, or evaluation research taught in education, psychology, and the social and health sciences, the book also appeals to practitioners and researchers in these fields who develop or use scales and instruments. Only a basic mathematical level is required including a basic course in statistic.
Assessment Measurement And Prediction For Personnel Decisions
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Author : Robert M. Guion
language : en
Publisher: Taylor & Francis
Release Date : 2011-02-25
Assessment Measurement And Prediction For Personnel Decisions written by Robert M. Guion and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-25 with Business & Economics categories.
Robert Guion’s best seller is now available in this new second edition. This noted book offers a comprehensive and practical view of assessment –based personnel decisions not available elsewhere in a single source. This edition more frankly evaluates the current research and practice and presents challenges that will change the basic thinking about staffing systems. This new edition suggests new directions for research and practice, includes emphasis on modern computers and technology useful in assessment, and pays more attention to prediction of individual growth and globalization challenges in the assessment process. The book will be of interest to faculty and students in Industrial Organizational psychology, human resource management and business. IO psychologists in private business and public sector organizations who have responsibilities for staffing and an interest in measurement and statistics will find this book useful.
Assessing Measurement Invariance In The Presence Of Testlets
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Author : Luis Andres Alvarado
language : en
Publisher:
Release Date : 2013
Assessing Measurement Invariance In The Presence Of Testlets written by Luis Andres Alvarado and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Analysis of covariance categories.
Dealing with measurement invariance has been an issue of concern in confirmatory factor analysis for many years. It is important to establish measurement invariance across groups so that instruments may be validly used in multiple groups for comparison of the mean or summative scores. Throughout the years, many studies have considered testing for measurement invariance in factor models. However, there have been no studies that assess measurement invariance when so-called testlets should be modeled in the factor analytic model. Testlets add nuisance covariation to the model which can interfere when trying to detect measurement invariance. In the past, models have been developed to compensate for any sort of added covariation within a model, such as the correlated error model, CT-C(M-1) model and random intercept factor model. However, can such models help detect measurement invariance in the presence of testlets? Additionally, which testlet model is most useful for detecting the true level of measurement invariance? Simulations help determine when in fact it is possible to compensate for this added testlet-based covariation and determine which method works best for various measurement invariance tests and scenarios. Generally, it is found that in some scenarios none of the models correctly identify the level of measurement invariance and, otherwise, the correlated error model is least prone to type I error.
Measurement Invariance
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Author :
language : en
Publisher:
Release Date : 2015
Measurement Invariance written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Multi-item surveys are frequently used to study scores on latent factors, like human values, attitudes and behavior. Such studies often include a comparison, between specific groups of individuals, either at one or multiple points in time. If such latent factor means are to be meaningfully compared, the measurement structures including the latent factor and their survey items should be stable across groups and/or over time, that is 'invariant'. Recent developments in statistics have provided new analytical tools for assessing measurement invariance (MI). The aim of this special issue is to provide a forum for a discussion of MI, covering some crucial 'themes': (1) ways to assess and deal with measurement non-invariance; (2) Bayesian and IRT methods employing the concept of approximate measurement invariance; and (3) new or adjusted approaches for testing MI to fit increasingly complex statistical models and specific characteristics of survey data. The special issue started with a kick-off meeting where all potential contributors shared ideas on potential papers. This expert workshop was organized at Utrecht University in The Netherlands and was funded by the Netherlands Organization for Scientific Research (NWO-VENI-451-11-008). After the kick-off meeting the authors submitted their papers, all of which were reviewed by experts in the field. The papers in the eBook are listed in alphabetical order, but in the editorial the papers are introduced thematically. Although it is impossible to cover all areas of relevant research in the field of MI, papers in this eBook provide insight on important aspects of measurement invariance. We hope that the discussions included in this special issue will stimulate further research on MI and facilitate further discussions to support the understanding of the role of MI in multi-item surveys.