Skip to main content

Table 3 Affect recognition and memory for faces as predictors of playground behavior

From: Examining the relationship between face processing and social interaction behavior in children with and without autism spectrum disorder

Behavior Memory for Faces Delayed Memory for Faces Immediate Affect Recognition Regression Model
  t β p Boot p t β p Boot p t β p Boot p F p R 2
Self-Play −3.01 −0.61 0.01** 0.01** 1.76 0.33 0.09 0.05 0.07 0.11 0.94 0.94 3.01 0.02* 0.24
Coop Play 2.98 0.59 0.01** 0.01** −1.46 −0.27 0.15 0.11 −0.19 −0.03 0.85 0.85 3.26 0.01** 0.25
Equip Play A −3.35 −0.68 0.02* 0.02* 1.95 0.37 0.06 0.04 0.92 0.14 0.36 0.31 2.60 0.04* 0.21
Equip Play G 2.48 0.52 0.02 0.02* −1.05 −0.20 0.30 0.38 0.25 0.04 0.80 0.79 2.17 0.07 0.18
Verbal Bout 1.25 0.26 0.22 0.25 −0.85 −0.16 0.39 0.41 −1.01 −0.16 0.32 0.14 2.32 0.06 0.19
  1. Results from primary aims are presented. Due to violation of normal distribution, bootstrap resampling was used and results are presented based on 1,000 samples (Boot p). For each significant predictor in the regression equation to control for multiplicity effects across the five behavioral variables, we used the Bonferroni-Holm method, a step down procedure in which a sequential set of tests are conducted that involve layered adjustments of alpha levels based on the number of elements remaining in the original set.
  2. t t statistic, β beta value, p corrected alpha levels using Bonferroni-Holm method (*p < 0.05, **p < 0.01), Coop cooperative, Equip equipment, A alone, G group.