Table 3. Summaries of the regression models predicting body dissatisfaction.
This table summarizes the models generated in the regression procedures.Two regression models are reported, one predicting scores on the body shape questionnaire and one predicting scores on the visual analogue body dissatisfaction measure. Both analyses employed a two-step method, with age and BMI being entered initially as covariates and then the other measures entering in a stepwise procedure. The bottom-most model in each analysis in the table is the final model obtained.
| Predicted outcome | Model | Predictor | b | SE b | β | Independent contribution to R2+ |
|---|---|---|---|---|---|---|
| BSQ | 1 | (Constant) | 39.25 | 9.76 | ||
| Analysis N = 99 | ΔR2 = .04 | BMI | .59 | .43 | .15 | .01 |
| Age | −.38 | .20 | −.20 | .03 | ||
| 2 | (Constant) | 12.67 | 9.56 | |||
| ΔR2 = .25*** | BMI | .39 | .37 | .10 | .01 | |
| Age | −.34 | .18 | −.18 | .03 | ||
| VVIQ | .40 | .07 | .51*** | .25 | ||
| 3 | (Constant) | 18.18 | 9.25 | |||
| ΔR2 = .07** | BMI | .22 | .35 | .06 | <.01 | |
| Age | −.57 | .18 | −.30** | .07 | ||
| VVIQ | .34 | .07 | .43*** | .18 | ||
| SI | 1.51 | .46 | .31** | .07 | ||
| 4 | (Constant) | 30.38 | 10.88 | |||
| ΔR2 =.03* | BMI | .25 | .35 | .06 | <.01 | |
| Age | −.57 | .18 | −.30** | .068 | ||
| VVIQ | .34 | .07 | .43*** | .17 | ||
| SI | 1.17 | .48 | .24* | .04 | ||
| VPT | −1.05 | .51 | −.18* | .03 | ||
| VABD | 1 | (Constant) | −1.21 | .52 | ||
| Analysis N = 103 | ΔR2 =.18*** | BMI | .10 | .02 | .44*** | .17 |
| Age | .00 | .01 | −.03 | <.01 | ||
| 2 | (Constant) | −2.21 | .55 | |||
| ΔR2 =.11*** | BMI | .09 | .02 | .40*** | .14 | |
| Age | .00 | .01 | −.03 | <.01 | ||
| VVIQ | .02 | .00 | .34*** | .11 | ||
| 3 | (Constant) | −1.16 | .61 | |||
| ΔR2 =.07** | BMI | .09 | .02 | .40*** | .15 | |
| Age | .00 | .01 | −.05 | <.01 | ||
| VVIQ | .01 | .00 | .32*** | .10 | ||
| VPT | −.09 | .01 | −.27** | .11 |
Notes.
- BMI
- Body Mass Index
- BSQ
- Body Shape Questionnaire score
- VABD
- Visual-Analogue Body Dissatisfaction difference score
- VVIQ
- Vividness of Visual Imagery Questionnaire score
- VPT
- computerized Visual Patterns Task span
- Corsi
- computerized Corsi blocks taskspan
- GP
- computerized Global Precedence score
- SI
- Stroop interference score
- ΔR2
- change in R2
- lowercase b
- regression coefficient
- β
- standardised regression coefficient
Analysis N varies due to exclusion of participants based on Cook’s distance.
+ derived from semipartial correlation. Sample N = 108.
*
p < .05.
**
p < .01.
***
p < .001.