Table 1.
χ2 | df | p | CFI | RMSEA | Confidence interval | χ2diff | dfdiff | p | |
---|---|---|---|---|---|---|---|---|---|
Italian sample CFA: two oblique factor model | 78.694 | 42 | <.001 | .960 | .049 | (.032–.065) | |||
MGCFA: Configural invariance | 118.933 | 84 | .007 | .962 | .047 | (.025–.066) | |||
MGCFA: Metric invariance | 134.699 | 93 | .003 | .955 | .049 | (.029–.067) | 15.766 | 9 | .072 |
MGCFA: Partial scalar invariance | 145.955 | 101 | .002 | .952 | .049 | (.030–.066) | 11.256 | 8 | .187 |
U. S. sample CFA: two oblique factor model | 101.263 | 42 | <.001 | .938 | .066 | (.050–.083) | |||
MGCFA: Configural invariance | 155.382 | 84 | <.001 | .927 | .073 | (.055–.090) | |||
MGCFA: Metric invariance | 166.432 | 93 | <.001 | .925 | .070 | (.053–.087) | 11.05 | 9 | .272 |
MGCFA: Scalar invariance | 184.880 | 102 | < .001 | .916 | .071 | (.055–.087) | 18.448 | 9 | .030 |
Bolivian sample CFA: two oblique factor model | |||||||||
MGCFA: Configural invariance | 116.150 | 86 | .017 | .964 | .048 | (.021–.069) | |||
MGCFA: Metric invariance | 129.051 | 95 | .012 | .959 | .048 | (.024–.068) | 12.001 | 9 | .167 |
MGCFA: Scalar invariance | 137.375 | 104 | .016 | .960 | .046 | (.021–.065) | 8.324 | 9 | .50 |
Note. PESE = Perceived Empathic Self-Efficacy; PSSE = Perceived Social Self-Efficacy; CFA = confirmatory factor analysis.