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Cited by 1,833

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Effect of Sampling Error on Convergence, Improper Solutions, and Goodness-of-Fit Indices for Maximum Likelihood Confirmatory Factor Analysis

Anderson, James C., Gerbing, David W.·1984·Psychometrika
DOI 10.1007/bf02294170
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Abstract

A Monte Carlo study assessed the effect of sampling error and model characteristics on the occurrence of nonconvergent solutions, improper solutions and the distribution of goodness-of-fit indices in maximum likelihood confirmatory factor analysis. Nonconvergent and improper solutions occurred more frequently for smaller sample sizes and for models with fewer indicators of each factor. Effects of practical significance due to sample size, the number of indicators per factor and the number of factors were found for GFI, AGFI, and RMR, whereas no practical effects were found for the probability values associated with the chi-square likelihood ratio test.

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Metadata

Authors
Anderson, J. C., & Gerbing, D. W.
Venue
Psychometrika
Publisher
Cambridge University Press (CUP)
Published
1984-06
Volume
49
Issue
2
Pages
155-173
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
DOI
10.1007/bf02294170
OpenAlex
W2042539525
Cited by
1,833
References
1
FWCI
20.58
Type
journal article
Language
en
Open access
closed

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