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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