. Author manuscript; available in PMC: 2018 Jun 4.

Published in final edited form as: J Abnorm Child Psychol. 2015 Nov;43(8):1427–1438. doi: 10.1007/s10802-015-0020-0

Table 3.

Prediction of Depressive Symptoms by Technology-Based Social Comparison and Feedback-Seeking (SCFS), Popularity, and Gender (n=619)

	Depressive symptoms
	Step statistics			Final statistics
Predictors	ΔR²	b (se b)	β	b (se b)	β
Step 1, covariates	0.42^**
Baseline depressive symptoms		0.51 (0.04)	0.48^***	0.45 (0.04)	0.43^***
Excessive reassurance seeking		0.21 (0.03)	0.28^***	0.15 (0.03)	0.19^***
Frequency of technology use		0.01 (0.01)	0.04	−0.01 (0.01)	−0.04
Step 2, main effects	0.04^**
Technology-based SCFS		0.09 (0.02)	0.13^***	0.14 (0.03)	0.21^***
Gender (female)		−0.19 (0.03)	−0.18^***	−0.20 (0.03)	−0.19^***
Popularity		−0.04 (0.02)	−0.07^*	−0.04 (0.02)	−0.08^†
Step 3, two way interactions	0.01^*
SCFS × gender		−0.09 (0.04)	−0.08^*	−0.09 (0.04)	−0.08^*
SCFS × popularity		−0.05 (0.02)	−0.09^**	−0.07 (0.03)	−0.11^**
Popularity × gender		0.02 (0.03)	0.02	0.02 (0.03)	0.02
Step 4, three way interaction	0.00
SCFS × gender × popularity				0.03 (0.04)	0.03
Total R²	0.47^**

Gender was coded as 0 for females, and 1 for males. SCFS=social comparison and feedback-seeking

^†

p<0.06;

p<0.05;

^**

p<0.01;

^***

p<0.001; All variables mean centered with the exception of Gender