2010
DOI: 10.22329/amr.v13i2.3019
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The Effects Of Estimator Choice And Weighting Strategies On Confirmatory Factor Analysis With Stratified Samples

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 exa… Show more

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Cited by 3 publications
(3 citation statements)
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“…Internal consistency of the K10 items was tested using Cronbach’s alpha (treating the items as scale variables) and confirmed using an ordinal alpha that addressed potential violations of assumptions, including normality and lack of correlated errors. Given the construct-confirming nature of the CFA, these analyses were unweighted [ 37 ].…”
Section: Methodsmentioning
confidence: 99%
“…Internal consistency of the K10 items was tested using Cronbach’s alpha (treating the items as scale variables) and confirmed using an ordinal alpha that addressed potential violations of assumptions, including normality and lack of correlated errors. Given the construct-confirming nature of the CFA, these analyses were unweighted [ 37 ].…”
Section: Methodsmentioning
confidence: 99%
“…Common metric completely standardized parameters from Model E2 appear in Table 5. The alpha level for each specific path was set to .005 (one-tailed) because of the large number of paths estimated as well as evidence that maximum likelihood estimation provides slightly too small standard errors when dealing with multiple groups (Brummel, 2005). Consistent with previous research and theory (Fitzgerald et al, 1995, 1997; Fitzgerald, Drasgow, & Magley, 1999), SH negatively affected work-related satisfactions, including satisfaction with the military (–.18), the work itself (–.10), supervisors (–.20), and coworkers (–.18).…”
Section: Resultsmentioning
confidence: 99%
“…The exploratory factor analysis was conducted using a weighted least squares estimator and Promax rotation. Following the exploratory factor analysis, we used the second half of the sample (n = 635) for a confirmatory factor analysis to test the presumed three-domain structure of end-of-life health literacy consisting of functional, interactive, and critical end-of-life health literacy (S1 Fig) [43]. The confirmatory factor analysis used the weighted least squares mean, and variance adjusted (WLSMV) estimator that best fit the categorical and ordinal nature of the data.…”
Section: Validation/psychometric Assessment Of the Instrumentmentioning
confidence: 99%