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Table 3 Analysis for the CFA model with 3 factors and Likert items with 3 categories by study site and by gender

From: Evaluation of large-group lectures in medicine – development of the SETMED-L (Student Evaluation of Teaching in MEDical Lectures) questionnaire

  Invariance analysis for CFA model by medical school Invariance analysis for CFA model by gender
Fit Index Configural Loadings Intercepts Means Configural Loadings Intercepts Means
CHISQa 1856.2 1541.3 2351.1 2399.15 1712.76 1415.5 1719.03 1566.31
PVALUEb < 0.001 < 0.001 < 0.001 < 0.001 < 0.001 < 0.001 < 0.001 < 0.001
CFIc 0.97 0.97 0.96 0.96 0.97 0.97 0.97 0.97
TLId 0.96 0.97 0.96 0.96 0.96 0.97 0.97 0.97
RMSEAe 0.06 0.06 0.07 0.07 0.06 0.06 0.06 0.06
RMSEA CI LOWERf 0.06 0.06 0.06 0.07 0.06 0.06 0.05 0.06
RMSEA CI UPPERg 0.07 0.07 0.07 0.08 0.07 0.07 0.06 0.06
LRT TESTh NA 0 0 0 NA 0.01 0.68 0.18
DFi 144 155 166 169 144 155 166 169
  1. aχ2 Test statistics b p-value of the χ2 Test cComparative Fit Index: satisfying values should be >0.96 dTucker-Lewis Index: satisfying values should be >0.96 eRoot Mean Squared Error Approximation: satisfying values should be <0.06 flower bound of the RMSEA confidence interval gupper bound of the RMSEA confidence interval hLikelihood ratio test (LRT) of the configural model vs. the other types of measurement invariance models iDegrees of Freedom