Table 3.
Outcome of the first hierarchical multiple linear regression analysis predicting insomnia severity
| Covariates/predictors | β | t | p | sr 2 | R | R 2 | R 2 ∆ |
|---|---|---|---|---|---|---|---|
| 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: predictor | .29 | .08 | .04 | ||||
| SPQ total score | − .15 | − 3.16 | .00 | .018 | |||
| AQ-28 social skills | .15 | 3.32 | .00 | .020 |
R2 = .08, F(6, 504) = 7.49, 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 model entailing the predictors (block 2) as well
SPQ Sensory Perception Quotient