Skip to main content

Table 2 Model fit indices of doubly latent models (for aggregate constructs) and confirmatory factor analyses (for non-aggregate constructs)

From: Enjoying working and learning in vocational education: a multilevel investigation of emotional crossover and contextual moderators

  N Par Chi2 df p RMSEA CFI TLI SRMR L1 SRMR L2
Doubly latent
 Clarity and support 31 103.88 17 .000 .058 .972 .951 .026 .061
 Enthusiastic teaching 20 28.66 4 .000 .064 .986 .958 .024 .009
 Application orientation 14 1.36 1 .244 .015 1.000 .998 .001 .006
 Enjoyment of lessons 20 69.56 4 .000 .104 .956 .868 .012 .165
CFA L1
 Academic self-efficacy 13 2.47 1 .116 .031 .998 .990 .007
CFA L2
 Work enjoyment 19 8.02 8 .432 .001 1.000 1.000 .046
  1. N Par number of parameters, df degrees of freedom, p p value, RMSEA Root Mean Square Error of Approximation, CFI Comparative Fit Index, TLI Tucker Lewis Index, SRMR Standardized Root Mean Square Residual, L1 within, L2 between, CFA confirmatory factor analysis