The effects of estimator choice and weighting strategies on confirmatory factory analysis with stratified samples

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Authors
Brummel, Bradley J.
Drasgow, Fritz
Advisors
Issue Date
2010
Type
Article
Keywords
Psychology , Clinical psychology , Multivariate analysis , Personality
Research Projects
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Journal Issue
Citation
Brummel, B. J., Drasgow, F. (2010). The effects of estimator choice and weighting strategies on confirmatory factor analysis with stratified samples. Applied Multivariate Research, 13(2), 113-128.
Abstract

Survey researchers often design stratified sampling strategies to target specific subpopulations within the larger population. This stratification can influence the population parameter estimates from these samples because they are not simple random samples of the population. There are three typical estimation options that account for the effects of this stratification in latent variable models: unweighted maximum likelihood, weighted maximum likelihood, and pseudo-maximum likelihood estimation. This paper examines the effects of these procedures on parameter estimates, standard errors, and fit statistics in Lisrel 8.7 (Jöreskog & Sörbom, 2004) and Mplus 3.0 (Muthén & Muthén, 2004). Options using several estimation methods will be compared to pseudo-maximum likelihood estimation. Results indicated the choice of estimation technique does not have a substantial effect on confirmatory factor analysis parameter estimates in large samples. However, standard errors of those parameter estimates and RMSEA values for assessing of model fit can be substantially affected by estimation technique.

Table of Contents
Description
Publisher
University of Windsor, Department of Psychology
Journal
Book Title
Series
Applied Multivariate Research
v.13 no.2
PubMed ID
DOI
ISSN
1918-1108
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