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. 2022 Jul 22;13:897901. doi: 10.3389/fpsyg.2022.897901

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.