Table 4.
Outcome of the second hierarchical multiple linear regression analysis predicting insomnia severity
| Covariates/predictors | β | t | p | sr 2 | R | R 2 | R2∆ |
|---|---|---|---|---|---|---|---|
| Block 1: covariates | .19 | .04 | .04 | ||||
| Medication intake | − .06 | − 1.36 | .17 | .003 | |||
| Sex | .16 | 3.49 | .00 | .023 | |||
| Age | − .00 | .06 | .95 | .000 | |||
| IQ | − .09 | − 2.08 | .04 | .008 | |||
| Block 2: predictors | .33 | .11 | .07 | ||||
| SPQ smell | − .02 | − .31 | .76 | .000 | |||
| SPQ vision | − .27 | − 4.34 | .00 | .033 | |||
| SPQ hearing | .06 | .96 | .34 | .002 | |||
| SPQ touch | − .03 | − .38 | .71 | .000 | |||
| SPQ taste | .06 | .96 | .34 | .002 | |||
| AQ-28 social skills | .13 | 2.96 | .00 | .016 |
R2 = .11; F(10, 500) = 6.24, p < .001; Beta’s are standardized beta’s for the full model, i.e. the value of the beta when all covariates and predictors were included. R2∆ refers to the difference between the model including covariates only (block 1) and the two models entailing the predictors (block 2) as well
SPQ Sensory Perception Quotient