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ERIC Number: EJ630342
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISSN: ISSN-1070-5511
Sample Size and Number of Parameter Estimates in Maximum Likelihood Confirmatory Factor Analysis: A Monte Carlo Investigation.
Jackson, Dennis L.
Structural Equation Modeling, v8 n2 p205-23 2001
Investigated the assumption that determining an adequate sample size in structural equation modeling can be aided by considering the number of parameters to be estimated. Findings from maximum likelihood confirmatory factor analysis support previous research on the effect of sample size, measured variable reliability, and the number of measured variables per factor, but no practically significant effect was found for the number of observations per estimated parameter. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A