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. 2021 Mar 29;18(7):3516. doi: 10.3390/ijerph18073516

Table 8.

Summary of fit statistics for tests of gender invariance—benefits.

Model Model Comparison χ2 df Δχ2 Δdf Statistical Significance CFI ΔCFI
M1: Configural model (no equality constraints—19 items) - 540.040 292 0.932 -
M2: All item factor loadings constrained a 2 vs. 1 571.204 311 31.164 19 p < 0.05 0.929 0.003
M3: Items for LE constrained 3 vs. 1 546.096 297 6.056 5 NS 0.932 0.000
M4: Items for LE and PP constrained 4 vs. 1 548.363 303 8.323 11 NS 0.933 0.001
M5: Items for LE, PP, and PO constrained 5 vs. 1 551.636 307 11.596 15 NS 0.933 0.001
M6: Items for LE, PP, PO, and SI constrained (item 1 freely estimated) 6 vs. 1 562.899 310 22.859 18 NS 0.931 0.001
M7: Factor loadings and item variances constrained 7 vs. 1 609.870 329 69.830 37 p < 0.01 0.923 0.009
M8: Factor loadings, item variances, and covariances constrained 8 vs. 1 625.807 335 85.767 43 p < 0.001 0.920 0.012

Note. a Kline (2005) proposed that items which are fixed to 1.0 cannot be examined for invariance. Therefore, these items were freed and the latent parent variables were fixed to 1.0. LE = life enhancement; PP = physical performance; PO = psychological outlook; SI = social interaction; NS = not significant. Item 1, “I enjoy exercise”, of the psychological outlook factor had to be estimated freely.