Measurement Invariance
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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.
Statistical Approaches To Measurement Invariance
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Author : Roger E. Millsap
language : en
Publisher: Routledge
Release Date : 2012-03-29
Statistical Approaches To Measurement Invariance written by Roger E. Millsap and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-29 with Psychology categories.
This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book.
Algorithms For Measurement Invariance Testing
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Author : Veronica Cole
language : en
Publisher: Cambridge University Press
Release Date : 2023-12-31
Algorithms For Measurement Invariance Testing written by Veronica Cole 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 2023-12-31 with Psychology categories.
Latent variable models are a powerful tool for measuring many of the phenomena in which developmental psychologists are often interested. If these phenomena are not measured equally well among all participants, this would result in biased inferences about how they unfold throughout development. In the absence of such biases, measurement invariance is achieved; if this bias is present, differential item functioning (DIF) would occur. This Element introduces the testing of measurement invariance/DIF through nonlinear factor analysis. After introducing models which are used to study these questions, the Element uses them to formulate different definitions of measurement invariance and DIF. It also focuses on different procedures for locating and quantifying these effects. The Element finally provides recommendations for researchers about how to navigate these options to make valid inferences about measurement in their own data.
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.
Identifying And Minimizing Measurement Invariance Among Intersectional Groups
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Author : Rachel A. Gordon
language : en
Publisher: Cambridge University Press
Release Date : 2023-07-06
Identifying And Minimizing Measurement Invariance Among Intersectional Groups written by Rachel A. Gordon 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 2023-07-06 with Psychology categories.
This Element demonstrates how and why the alignment method can advance measurement fairness in developmental science. It explains its application to multi-category items in an accessible way, offering sample code and demonstrating an R package that facilitates interpretation of such items' multiple thresholds. It features the implications for group mean differences when differences in the thresholds between categories are ignored because items are treated as continuous, using an example of intersectional groups defined by assigned sex and race/ethnicity. It demonstrates the interpretation of item-level partial non-invariance results and their implications for group-level differences and encourages substantive theorizing regarding measurement fairness.
Assessing Measurement Invariance For Applied Research
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Author : Craig Wells
language : en
Publisher:
Release Date : 2021
Assessing Measurement Invariance For Applied Research written by Craig Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with PSYCHOLOGY categories.
"Assessing Measurement Invariance for Applied Research will provide psychometricians and researchers across diverse disciplines in the social sciences the necessary knowledge and skills to select and apply appropriate methods to assess measurement invariance. It is a user-friendly guide that describes a variety of statistical methods using a pedagogical framework emphasizing conceptual understanding with extensive illustrations that demonstrate how to use software to analyze real data. A companion website (people.umass.edu/cswells) provides downloadable computer syntax and the data sets demonstrated in this book so readers can use them to become familiar with the analyses and understand how to apply the methods with proficiency to their own work. Evidence-supported methods that can be readily applied to real world data are described and illustrated, providing researchers with many options from which to select given the characteristics of their data. The approaches include observed-score methods and those that use item response theory models and confirmatory factor analysis,"--
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.
Equivalence In Measurement
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Author : Chester A. Schriesheim
language : en
Publisher: IAP
Release Date : 2001-10-01
Equivalence In Measurement written by Chester A. Schriesheim and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-01 with Business & Economics categories.
This volume highlights research and conceptual insights into one of the most basic, and yet, perplexing research issues in management-handling and assessing the comparability of our measurement devices across groups and measures. One of the most consistently difficult concerns in management research over the past three decades has been trying to reconcile measurement equivalence issues utilizing diverse samples. Given the emphasis on diversity in the human resources area and the internationalization of business and management, measurement equivalence is more of a general concern now than ever before. If we are not able to successfully address concerns about measurement equivalence, research examining differences between groups could be highly misleading and/or erroneous. Consequently, we hope that the thoughtful contributions of the scholars in this volume will help future scholars to better address measurement equivalence concerns.
Measurement Invariance And Selection Effects Across Internet And Laboratory Studies Of Implicit And Explicit Gender And Math Science Attitudes
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Author : Frederick LeRoy Smyth
language : en
Publisher:
Release Date : 2004
Measurement Invariance And Selection Effects Across Internet And Laboratory Studies Of Implicit And Explicit Gender And Math Science Attitudes written by Frederick LeRoy Smyth and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.