TABLE 5.
Test statistics | Hypothesis 1, positive models |
Hypothesis 2, negative models |
||||||
German sample |
English sample |
German sample |
English sample |
|||||
Cor. allowed | Cor. zero | Cor. allowed | Cor. zero | Cor. allowed | Cor. zero | Cor. allowed | Cor. zero | |
N | 1517 | 1517 | 1539 | 1539 | 1517 | 1517 | 1539 | 1539 |
χ2 | 235.783 | 314.497 | 284.340 | 380.434 | 64.026 | 77.137 | 110.226 | 165.051 |
df | 54 | 64 | 54 | 64 | 25 | 31 | 25 | 31 |
p | <0.001*** | <0.001*** | <0.001*** | <0.001*** | <0.001*** | <0.001*** | <0.001*** | <0.001*** |
BIC | 36248 | 36260 | 38058 | 38089 | 33527 | 33497 | 32428 | 32443 |
χ2-diff. | 81.985 | 97.191 | 13.11 | 57.248 | ||||
df-diff. | 10 | 10 | 6 | 6 | ||||
p | <0.001*** | <0.001*** | 0.04* | <0.001*** |
“Cor. allowed” describes the models allowing for correlations between all latent variables. “Cor. zero” describes the models in which all correlations of interest were set to zero. The row “χ2” contains robust chi-square values for all models, the row “BIC” contains the models’ robust Bayesian Information Criteria. “χ2-diff.” is the test statistic for the scaled χ2-difference test. “df-diff.” is the corresponding df-difference. Note that as the χ2-difference test is a function of two standard (not robust) test statistics, the χ2-difference test statistic cannot be calculated by simply subtracting the scaled χ2 test statistics above. *p < 0.05. ***p < 0.001.