ERIC Number: EJ746798
Record Type: Journal
Publication Date: 2006
Reference Count: N/A
The Performance of Cross-Validation Indices Used to Select among Competing Covariance Structure Models under Multivariate Nonnormality Conditions
Whittaker, Tiffany A.; Stapleton, Laura M.
Multivariate Behavioral Research, v41 n3 p295-335 2006
Cudeck and Browne (1983) proposed using cross-validation as a model selection technique in structural equation modeling. The purpose of this study is to examine the performance of eight cross-validation indices under conditions not yet examined in the relevant literature, such as nonnormality and cross-validation design. The performance of each cross-validation index was measured in terms of true model selection rate as well as consistency of model selection. The performance of the cross-validation indices tended to improve as factor loading and sample size increased but performed less well as nonnormality increased. The double cross-validated indices outperformed their simple cross-validated counterparts in certain conditions. Recommendations are provided as to which cross-validation methods would optimally perform in a given condition.
Descriptors: Multivariate Analysis, Selection, Structural Equation Models, Evaluation Methods, Performance Based Assessment, Item Analysis, Evaluation Research, Reliability, Statistical Analysis, Research Methodology, Performance Factors, Predictor Variables
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A