Table 8.
Linear regression on technology attitudes and parent and child demographic factors
Predictor | b | b [LL, UL] | sr 2 | sr2 [LL, UL] |
---|---|---|---|---|
Intercept | 8.61** | [5.22, 12] | ||
Parent age | − 0.03 | [− 0.07, 0.01] | 0.01 | [− 0.01, 0.02] |
Parent age left education | 0.04 | [− 0.03, 0.11] | 0.00 | [− 0.01, 0.02] |
Child age | 0.03 | [− 0.01, 0.07] | 0.01 | [− 0.01, 0.03] |
Child learning disability | 0.23 | [− 1.7, 2.16] | 0.00 | [− 0.00, 0.00] |
Child reading level | 2.18** | [0.92, 3.45] | 0.04 | [− 0.00, 0.01] |
Child language ability | − 0.07 | [− 1.1, 0.97] | 0.00 | [− 0.00, 0.00] |
Child number of devices accessed | − 0.06 | [− 0.25, 0.14] | 0.00 | [− 0.01, 0.01] |
Model fit | 0.106** [0.02, 0.15] |
*Indicates p < .05; **indicates p < .01
A significant b-weight indicates the semi-partial correlation is also significant. sr2 represents the semi-partial correlation squared. Square brackets are used to enclose the lower limits (LL) and upper limits (UL) of a confidence interval