Literature DB >> 12090609

Measurement equivalence: a comparison of methods based on confirmatory factor analysis and item response theory.

Nambury S Raju1, Larry J Laffitte, Barbara M Byrne.   

Abstract

Current interest in the assessment of measurement equivalence emphasizes 2 major methods of analysis. The authors offer a comparison of a linear method (confirmatory factor analysis) and a nonlinear method (differential item and test functioning using item response theory) with an emphasis on their methodological similarities and differences. The 2 approaches test for the equality of true scores (or expected raw scores) across 2 populations when the latent (or factor) score is held constant. Both approaches can provide information about when measurement nonequivalence exists and the extent to which it is a problem. An empirical example is used to illustrate the 2 approaches.

Mesh:

Year:  2002        PMID: 12090609     DOI: 10.1037/0021-9010.87.3.517

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  31 in total

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Authors:  Steven H Aggen; Kenneth S Kendler; Thomas S Kubarych; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2011-12       Impact factor: 1.587

2.  Occurrences and sources of Differential Item Functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health.

Authors:  Jeanne A Teresi; Mildred Ramirez; Jin-Shei Lai; Stephanie Silver
Journal:  Psychol Sci Q       Date:  2008

3.  The impact of gender on the assessment of body checking behavior.

Authors:  Lauren Alfano; Tom Hildebrandt; Katie Bannon; Catherine Walker; Kate E Walton
Journal:  Body Image       Date:  2010-11-18

4.  Evaluation of a patient-reported continuity of care model for older adults.

Authors:  Suzanne E Bentler; Robert O Morgan; Beth A Virnig; Fredric D Wolinsky
Journal:  Qual Life Res       Date:  2013-07-19       Impact factor: 4.147

5.  Measurement and data analysis in research addressing health disparities in substance abuse.

Authors:  Ann Kathleen Burlew; Daniel Feaster; Mary-Lynn Brecht; Robert Hubbard
Journal:  J Subst Abuse Treat       Date:  2008-06-11

6.  Longitudinal factorial invariance of the PedsQL 4.0 Generic Core Scales child self-report Version: one year prospective evidence from the California State Children's Health Insurance Program (SCHIP).

Authors:  James W Varni; Christine A Limbers; Daniel A Newman; Michael Seid
Journal:  Qual Life Res       Date:  2008-09-19       Impact factor: 4.147

7.  Improving Factor Score Estimation Through the Use of Observed Background Characteristics.

Authors:  Patrick J Curran; Veronica Cole; Daniel J Bauer; Andrea M Hussong; Nisha Gottfredson
Journal:  Struct Equ Modeling       Date:  2016-09-09       Impact factor: 6.125

8.  Factorial invariance of pediatric patient self-reported fatigue across age and gender: a multigroup confirmatory factor analysis approach utilizing the PedsQL™ Multidimensional Fatigue Scale.

Authors:  James W Varni; A Alexander Beaujean; Christine A Limbers
Journal:  Qual Life Res       Date:  2013-02-20       Impact factor: 4.147

9.  Measurement Invariance Conventions and Reporting: The State of the Art and Future Directions for Psychological Research.

Authors:  Diane L Putnick; Marc H Bornstein
Journal:  Dev Rev       Date:  2016-06-29

10.  Measurement invariance of the kidney disease and quality of life instrument (KDQOL-SF) across veterans and non-veterans.

Authors:  Karen L Saban; Fred B Bryant; Domenic J Reda; Kevin T Stroupe; Denise M Hynes
Journal:  Health Qual Life Outcomes       Date:  2010-10-25       Impact factor: 3.186

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