Table B.

Study 1: WHC scale, five-correlated-factor model. Results of multi-group analyses

Multigroup comparisons	Fit indices	Test of invariance
Gender
Configural invariance	χ2(250) = 1246.34, p = 0.00 CFI = 0.94, RMSEA = 0.10, SRMR = 0.06
Metric invariance	χ2(263) = 1263.77, p =0.00 CFI = 0.94, RMSEA = 0.09, SRMR = 0.06	M1–M0 Δχ2(13) = 17.43, ns ΔCFI = 0.00, ΔRMSEA = -0.001 ΔSRMR = -0.002
Factor covariance invariance	χ2(278) = 1278.31, p = 0.00 CFI = 0.94, RMSEA = 0.09, SRMR = 0.07	M2–M1 Δχ2(15) = 14.54, ns ΔCFI = 0.00, ΔRMSEA = -0.003 ΔSRMR = 0.005
Residual invariance	χ2(296) = 1292.31, p = 0.00 CFI = 0.94, RMSEA = 0.09, SRMR = 0.07	M3–M2 Δχ2(18) = 14, ns ΔCFI = 0.00, ΔRMSEA = -0.003 ΔSRMR = 0.000
Parental status
Configural invariance	χ2(250) = 1290.41, p = 0.00 CFI = 0.94, RMSEA = 0.10 SRMR = 0.07
Metric invariance	χ2(263) = 1302.13, p = 0.00 CFI = 0.94, RMSEA = 0.10, SRMR = 0.07	M1–M0 Δχ2(13) = 11.72 ns ΔCFI = 0.00, ΔRMSEA = 0.000 ΔSRMR = -0.002
Factor covariance invariance	χ2(278) = 1328.92, p = 0.00 CFI = 0.94, RMSEA = 0.09, SRMR = 0.08	M2–M1 Δχ2(15) = 26.79, p = 0.03 ΔCFI = 0.00, ΔRMSEA = -0.002 ΔSRMR = 0.004
Residual invariance	χ2(296) = 1350.60, p = 0.00 CFI = 0.94, RMSEA = 0.09, SRMR = 0.07	M3–M2 Δχ2(18) = 21.68, ns ΔCFI = 0.00, ΔRMSEA = -0.002 ΔSRMR = -0.001
Public-sector vs private-sector workers
Configural invariance	χ2(250) = 1216.00 p = 0.00 CFI = 0.94, RMSEA = 0.10, SRMR = 0.06
Metric invariance	χ2(263) = 1225.15, p = 0.00 CFI = 0.94, RMSEA = 0.10, SRMR = 0.07	M1–M0 Δχ2(13) = 9.15, ns ΔCFI = 0.00, ΔRMSEA = 0.000 ΔSRMR = 0.002
Factor covariance invariance	χ2(278) = 1268.66, p = 0.00 CFI = 0.93, RMSEA = 0.09, SRMR = 0.08	M2–M1 Δχ2(15) = 43.51, p = 0.0002 ΔCFI = -0.01, ΔRMSEA = -0.001 ΔSRMR = 0.015
Residual invariance	χ2(296) = 1336.19, p = 0.00 CFI = 0.93, RMSEA = 0.09, SRMR = 0.08	M3–M2 Δχ2(18) = 67.53, p = 0.0000 ΔCFI = 0.00, ΔRMSEA = 0.00 ΔSRMR = 0.00