Table 2.
Model | 95% CI χ2 | PPP | Median absolute intercept difference (range) | Mean difference estimate | Simulation | Bias | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
α | SE | p | d | AVG | SD | SE Avg | 95% Cover | % Sig. | M Bias (%) | SE Bias (%) | ||||
FULL INVARIANCE | ||||||||||||||
FMI1 configural | −16.183 58.471 | 0.106 | – | – | – | – | – | – | – | – | ||||
FMI2 weak | −12.794 57.036 | 0.111 | 0.131 (0.010–0.409) | – | – | – | – | – | – | – | – | |||
FMI3 strong | 20.836 93.107 | 0.001 | 0.000 (0.000–0.000) | −0.340 | 0.066 | <0.001 | 0.27 | −0.348 | 3.161 | 0.593 | 0.314 | 0.682 | 2.24 | −81.23 |
AFMI1 σ2 = 0.5 | −14.605 59.226 | 0.119 | 0.088 (0.014–0.224) | −0.279 | 0.533 | 0.284 | 0.03 | −0.340 | 0.360 | 0.425 | 0.952 | 0.123 | 22.01 | 18.01 |
AFMI2 σ2 = 0.25 | −14.219 58.635 | 0.119 | 0.071 (0.007–0.196) | −0.315 | 0.377 | 0.194 | 0.04 | −0.344 | 0.194 | 0.346 | 0.995 | 0.080 | 9.24 | 78.25 |
AFMI3 σ2 = 0.125 | −14.811 59.127 | 0.122 | 0.062 (0.001–0.184) | −0.333 | 0.280 | 0.123 | 0.06 | −0.340 | 0.117 | 0.266 | 1.000 | 0.119 | 1.98 | 127.76 |
AFMI4 σ2 = 0.05 | −15.240 61.016 | 0.107 | 0.051 (0.003–0.183) | −0.354 | 0.185 | 0.027 | 0.10 | −0.342 | 0.077 | 0.186 | 1.000 | 0.410 | −3.50 | 142.00 |
AFMI5 σ2 = 0.025 | −15.163 61.056 | 0.108 | 0.048 (0.004–0.178) | −0.355 | 0.138 | 0.005 | 0.13 | −0.342 | 0.069 | 0.142 | 1.000 | 0.827 | −3.80 | 104.18 |
AFMI6 σ2 = 0.01 | −14.855 61.681 | 0.106 | 0.044 (0.003–0.158) | −0.350 | 0.101 | <0.001 | 0.18 | −0.340 | 0.066 | 0.104 | 0.997 | 0.976 | −2.94 | 56.97 |
AFMI7 σ2 = 0.005 | −13.530 63.776 | 0.086 | 0.036 (0.001–0.134) | −0.346 | 0.084 | <0.001 | 0.21 | −0.338 | 0.065 | 0.087 | 0.987 | 0.995 | −2.43 | 34.41 |
AFMI8 σ2 = 0.001 | −0.366 77.232 | 0.028 | 0.016 (0.000–0.062) | −0.341 | 0.069 | <0.001 | 0.26 | −0.333 | 0.064 | 0.071 | 0.967 | 0.999 | −2.38 | 9.97 |
AFMI9 σ2 = 0.0005 | 6.400 83.511 | 0.012 | 0.009 (0.000–0.038) | −0.341 | 0.067 | <0.001 | 0.26 | −0.333 | 0.064 | 0.068 | 0.961 | 1.000 | −2.29 | 6.88 |
PARTIAL INVARIANCE* | ||||||||||||||
PMI strong | −13.704 62.416 | 0.095 | −0.214 −0.264 | −0.499 | 0.071 | <0.001 | 0.36 | −0.494 | 0.070 | 0.075 | 0.967 | 1.000 | −1.10 | 6.28 |
APMI1 σ2 = 0.5 | −11.802 61.498 | 0.090 | −0.213 −0.263 | −0.499 | 0.071 | <0.001 | 0.36 | −0.492 | 0.071 | 0.074 | 0.967 | 1.000 | −1.34 | 5.09 |
APMI2 σ2 = 0.25 | −11.718 61.594 | 0.090 | −0.212 −0.262 | −0.497 | 0.074 | <0.001 | 0.35 | −0.489 | 0.071 | 0.074 | 0.965 | 1.000 | −1.59 | 5.25 |
APMI3 σ2 = 0.125 | −11.799 61.592 | 0.090 | −0.209 −0.259 | −0.495 | 0.074 | <0.001 | 0.35 | −0.485 | 0.070 | 0.074 | 0.964 | 1.000 | −2.12 | 5.12 |
APMI4 σ2 = 0.05 | −12.175 61.725 | 0.087 | −0.199 −0.250 | −0.489 | 0.074 | <0.001 | 0.34 | −0.472 | 0.069 | 0.073 | 0.959 | 1.000 | −3.46 | 6.24 |
APMI5 σ2 = 0.025 | −11.671 62.672 | 0.087 | −0.186 −0.236 | −0.479 | 0.074 | <0.001 | 0.33 | −0.454 | 0.068 | 0.072 | 0.954 | 1.000 | −5.14 | 6.33 |
APMI6 σ2 = 0.01 | −9.953 64.009 | 0.081 | −0.155 −0.203 | −0.457 | 0.072 | <0.001 | 0.33 | −0.419 | 0.066 | 0.071 | 0.934 | 1.000 | −8.29 | 6.49 |
APMI7 σ2 = 0.005 | −7.646 67.449 | 0.062 | −0.122 −0.165 | −0.433 | 0.071 | <0.001 | 0.32 | −0.388 | 0.065 | 0.069 | 0.921 | 1.000 | −10.39 | 6.45 |
APMI8 σ2 = 0.001 | 6.166 81.574 | 0.017 | −0.045 −0.067 | −0.374 | 0.069 | <0.001 | 0.28 | −0.340 | 0.064 | 0.067 | 0.933 | 0.999 | −9.14 | 4.35 |
APMI9 σ2 = 0.0005 | 12.325 87.639 | 0.008 | −0.025 −0.039 | −0.358 | 0.068 | <0.001 | 0.27 | −0.334 | 0.064 | 0.067 | 0.945 | 1.000 | −6.70 | 4.07 |
95% CI χ2, 95% confidence interval for the difference between the observed and the replicated χ2; PPP, posterior predictive p-value; α, mean latent score difference parameter; SE, standard error of α; p, significance of α; d, effect size; AVG, average of estimated mean latent score differences over the replications; SD, standard deviation of mean difference parameter estimate over the replications; SE avg, average of the estimated standard errors for the mean difference parameter estimate over the replications; 95% cover, proportion of replications for which the 95% CI included the hypothesized population value α; % sig., proportion of datasets for which the 95% CI did not include zero, i.e., the percentage of datasets for which it can be concluded that AVG is larger than zero in the population; M bias, (AVG-α)/α*100; SE bias, (SE avg-SD)/SD; FMI, Full measurement invariance; AFMI, Approximate full measurement invariance; PMI, partial measurement invariance; APMI, approximate partial measurement invariance; σ2, prior variance of intercepts for all pairs of items;
Intercepts of items 3 and 4 were not invariant, values in the intercept difference column are the differences between women's–men's intercepts for items 3 and 4, respectively.