The Effect of Between Group Dependence on Measurement Equivalence/Invariance Tests
Metadata Field | Value | Language |
---|---|---|
dc.contributor.advisor | Svyantek, Daniel | |
dc.contributor.advisor | Edwards, Bryan | |
dc.contributor.advisor | Jones-Farmer, Allison | |
dc.contributor.author | Perdomo, Brian | |
dc.date.accessioned | 2011-11-21T15:49:41Z | |
dc.date.available | 2011-11-21T15:49:41Z | |
dc.date.issued | 2011-11-21 | |
dc.identifier.uri | http://hdl.handle.net/10415/2861 | |
dc.description.abstract | When using structural equation modeling methods, researchers should test for the presence of measurement equivalence/invariance (ME/I) before investigating substantive hypotheses (Bollen, 1989, p. 355). This study evaluated the robustness of the most common form of ME/I, metric invariance tests using multigroup confirmatory factor analyses, to violations of the independent groups assumption. Based on the analytically derived effect of such a violation on the likelihood ratio test, Jones-Farmer (2010) concluded that the results of the test would be unaffected. A Monte Carlo simulation was conducted to test her hypothesis and evaluate the robustness of other previously suggested ME/I tests that use CFI, SRMR, and RMSEA (Chen, 2007). As part of the study, the effect of among-groups dependence on the parameter estimates of factor loadings and their standard errors was also investigated. Among-groups dependence was found to have no practically significant effect on the results of the likelihood ratio test or the factor loading parameter estimates and standard errors, but other ME/I tests were impacted to varying degrees. | en_US |
dc.rights | EMBARGO_NOT_AUBURN | en_US |
dc.subject | Psychology | en_US |
dc.title | The Effect of Between Group Dependence on Measurement Equivalence/Invariance Tests | en_US |
dc.type | thesis | en_US |
dc.embargo.length | NO_RESTRICTION | en_US |
dc.embargo.status | NOT_EMBARGOED | en_US |