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. 2020 Nov 17;36(5):723–733. doi: 10.1093/arclin/acaa110

Table 3.

Hierarchical regression analysis with self-reported IADLs as criterion

Predictor ß t ΔF (df) F (df) ΔR  2 R  2
Step 1 3.74* (2,116) .06
 Age .16 1.58
 Education −.12 1.81
Step 2 7.46** (2,114) 5.81***(4,114) .11 .17
 Age .13 1.47
 Education −.10 −1.17
 Switching-ST-RT .21 2.19*
 Spatial WM −.19 −2.08*
Step 3 7.63*** (6,108) 7.71*** (10,108) .25 .42
 Age .09 1.18
 Education −.04 −0.54
 Switching-ST-RT .24 2.57*
 Spatial WM −.10 −1.15
 WM updating −.53 −6.29***
 Flanker interference −.11 −1.49
 GNG-Hits .05 0.59
 GNG-nogo-ACC −.04 −0.58
 Switching-SC .03 0.36
 Switching-MC .15 1.77

Note. IADL = Instrumental Activities of Daily Living Scale; ß = standardized regression weight; ST = single-task trials of the switching task; RT = response time; WM = working memory; GNG = go/no-go task; nogo-ACC = correct rejections; SC = switch cost; MC = mixing cost.

*p < .05.

**p < .01.

***p < .001.