Table 8.
Invariance level | m |
χ2 test |
Model fit |
Model comparison |
χ2 difference test |
ΔCFI | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
χ2 | df | p-value | CFI | RMSEA (90% CI) | SRMR | Δχ2 | Δdf | p-value | ||||
Diagnosis (n = 399) | ||||||||||||
1. Configural | 1 | 27.290 | 26 | 0.394 | 0.998 | 0.016 (0.000,0.059) | 0.034 | |||||
2. Metric | 1 | 43.001 | 31 | 0.074 | 0.983 | 0.044 (0.000,0.073) | 0.076 | 1 vs. 2 | 15.984 | 5 | 0.007 | 0.015 |
3. Scalar | 2 | 54.711 | 34 | 0.014 | 0.971 | 0.055 (0.025,0.081) | 0.082 | 2 vs. 3 | 12.006 | 3 | 0.007 | 0.012 |
4. Residual variance | 4 | 63.435 | 36 | 0.003 | 0.961 | 0.062 (0.036,0.086) | 0.114 | 3 vs. 4 | 9.145 | 2 | 0.010 | 0.010 |
5. Factor variance-covariance | 2 | 64.103 | 37 | 0.004 | 0.962 | 0.061 (0.034,0.085) | 0.114 | 4 vs. 5 | 0.383 | 1 | 0.536 | 0.000 |
6. Factor mean | 2 | 64.103 | 37 | 0.004 | 0.962 | 0.061 (0.034,0.085) | 0.114 | 5 vs. 6a | - | - | - | - |
Sex (n = 411) | ||||||||||||
1. Configural | 0 | 43.323 | 26 | 0.018 | 0.985 | 0.057 (0.024,0.086) | 0.039 | |||||
2. Metric | 0 | 53.196 | 31 | 0.008 | 0.981 | 0.059 (0.030,0.085) | 0.071 | 1 vs. 2 | 9.948 | 5 | 0.077 | 0.004 |
3. Scalar | 1 | 57.092 | 35 | 0.011 | 0.981 | 0.055 (0.027,0.081) | 0.071 | 2 vs. 3 | 3.650 | 4 | 0.455 | 0.000 |
4. Residual variance | 0 | 77.096 | 42 | 0.001 | 0.971 | 0.064 (0.041,0.086) | 0.087 | 3 vs. 4 | 18.712 | 7 | 0.009 | 0.011 |
5. Factor variance-covariance | 0 | 74.552 | 45 | 0.004 | 0.975 | 0.057 (0.032,0.079) | 0.092 | 4 vs. 5 | 0.498 | 3 | 0.919 | −0.005 |
6. Factor mean | 0 | 76.458 | 47 | 0.004 | 0.975 | 0.055 (0.031,0.077) | 0.097 | 5 vs. 6 | 1.723 | 2 | 0.423 | 0.000 |
Race/Ethinicity (n = 404) | ||||||||||||
1. Configural | 1 | 42.337 | 25 | 0.017 | 0.984 | 0.059 (0.025,0.088) | 0.034 | |||||
2. Metric | 1 | 53.200 | 29 | 0.004 | 0.978 | 0.064 (0.036,0.091) | 0.062 | 1 vs. 2 | 10.402 | 4 | 0.034 | 0.006 |
3. Scalar | 0 | 61.373 | 34 | 0.003 | 0.975 | 0.063 (0.037,0.088) | 0.065 | 2 vs. 3 | 8.251 | 5 | 0.143 | 0.003 |
4. Residual variance | 1 | 65.809 | 40 | 0.006 | 0.976 | 0.057 (0.030,0.080) | 0.089 | 3 vs. 4 | 5.685 | 6 | 0.459 | −0.001 |
5. Factor variance-covariance | 0 | 77.352 | 43 | 0.001 | 0.968 | 0.063 (0.040,0.085) | 0.111 | 4 vs. 5 | 11.701 | 3 | 0.008 | 0.008 |
6. Factor mean | 1 | 80.958 | 44 | 0.001 | 0.966 | 0.064 (0.042,0.086) | 0.123 | 5 vs. 6 | 3.701 | 1 | 0.054 | 0.002 |
Education (n = 411) | ||||||||||||
1. Configural | 0 | 47.879 | 26 | 0.006 | 0.981 | 0.064 (0.034,0.092) | 0.034 | |||||
2. Metric | 0 | 52.186 | 31 | 0.010 | 0.981 | 0.058 (0.028,0.084) | 0.049 | 1 vs. 2 | 4.503 | 5 | 0.479 | −0.001 |
3. Scalar | 0 | 58.326 | 36 | 0.011 | 0.980 | 0.055 (0.027,0.080) | 0.055 | 2 vs. 3 | 6.087 | 5 | 0.298 | 0.001 |
4. Residual variance | 3 | 68.185 | 40 | 0.004 | 0.975 | 0.059 (0.033,0.082) | 0.070 | 3 vs. 4 | 9.764 | 4 | 0.045 | 0.005 |
5. Factor variance-covariance | 2 | 67.858 | 41 | 0.005 | 0.976 | 0.056 (0.031,0.080) | 0.084 | 4 vs. 5 | 0.499 | 1 | 0.480 | −0.001 |
6. Factor mean | 2 | 67.858 | 41 | 0.005 | 0.976 | 0.056 (0.031,0.080) | 0.084 | 5 vs. 6a | - | - | - | - |
Note. m = number of parameters allowed to differ across groups; CFI = comparative fit index; RMSEA = root mean squared error of approximation; SRMR = standardized root mean squared residual; Δχ2 = the Satorra-Bentler (SB) scaled correction χ2 difference statistic; Δdf = change in df; ΔCFI = change in CFI. Model fit is considered adequate by meeting the following criteria: CFI ≥ 0.95, RMSEA ≤ 0.08, SRMR ≤ 0.08. Violation of invariance is considered under the following criteria: significant Δχ2 (p <.01), ΔCFI > .01.
χ2 difference test and ΔCFI are not applicable because the two models are identical.