TABLE 6.
Differential item functioning test results for non-invariant items.
Item | Grouping variable | χ2 | df | p FDR | UIDS | ESSD | Non-invariant parameters |
4 | Autism diagnosis | 29.65 | 7 | <0.001 | 0.290 | −0.398 | Slopes (a1 higher in AUT, a3 lower in AUT) Intercepts (all lower in AUT) |
10 | Autism diagnosis | 19.90 | 6 | 0.003 | 0.211 | 0.260 | Intercepts (d1 lower in AUT, d2–4 higher in AUT) |
12 | Autism diagnosis | 37.63 | 6 | <0.001 | 0.379 | 0.587 | Intercepts (all higher in AUT) |
16 | Autism diagnosis | 32.35 | 6 | <0.001 | 0.358 | 0.374 | Intercepts (all higher in AUT) |
12 | Sex | 34.64 | 6 | <0.001 | 0.420 | 0.650 | Intercepts (all higher in Males) |
Results indicate omnibus Wald tests of differential item functioning (DIF) using a version of the iterative anchor-selection method of Cao et al. (2017). Items presented in bold demonstrated differential item functioning large enough to be deemed “practically significant” (i.e., |ESSD| > 0.5). Parameter groups (i.e., either slopes or intercepts) that were significantly different between groups when tested alone with follow-up Wald tests (p < 0.05, uncorrected) are indicated in the “Non-invariant Parameters” column. Higher intercepts indicate less item difficulty (i.e., more item endorsement at a given latent trait level). UIDS, unsigned item difference in the sample (unsigned DIF effect size in response scale units); ESSD, expected score standardized difference (signed DIF effect size in Cohen’s d units); AUT, autism group.