Table 1.

Results for Truth and Bias Models

	Model Type
	Facebook		Instagram		Twitter		Snapchat
Predictors	b	SE	b	SE	b	SE	b	SE
Average Bias and Accuracy
Avg Directional Bias	13.94**	1.41	27.50**	1.52	24.92**	1.63	27.11**	1.61
Avg Tracking Accuracy	0.53**	0.08	0.69**	0.05	0.83**	0.06	0.68**	0.05
Moderators of Directional Bias
Site of Data Collection	−1.05	1.30	0.68	1.45	−1.44	1.60	1.76	1.51
Gender	−0.90	1.40	−3.53* c, d	1.52	−3.70* c, d	1.62	−1.95	1.53
Age	0.37 c	0.36	0.06	0.64	−0.65	0.65	−1.96* a	0.83
Conscientiousness	−1.38	1.96	−6.26**b	2.17	−4.74 c, d	2.42	−2.30	2.23
Screen Time Check	2.17 c	4.09	−1.30	2.73	0.08	2.41	4.25	4.37
Moderators of Tracking Accuracy
Site of Data Collection	0.07 c	0.04	0.03	0.04	0.00 c, d	0.06	0.01	0.04
Gender	0.27** a, d	0.07	0.15**c, d	0.05	−0.03 c	0.06	0.05	0.04
Age	0.01 c	0.02	0.04	0.02	0.01	0.02	−0.01	0.03
Conscientiousness	0.17* a, c, d	0.07	−0.05	0.07	0.05	0.07	0.01	0.07
Screen Time Check	0.39 c	0.38	−0.01	0.11	0.08	0.17	0.23	0.21

Note. Site of Data Collection was controlled for in each analysis and effect-coded, such that −1 = the Southwestern University and 1 = the Midwestern University. Gender was effect-coded, such that −1 = women and 1 = men. All continuous predictors were grand-mean centered.

^“a”denotes that the significance of the coefficient changed once heteroscedasticity was corrected.

^“b”denotes that the significance of the coefficient changed when analyses were restricted to those participants who used or had reported that they had used SNSs.

^“c”denotes that the significance of the coefficient changed when a robust variant of regression analysis was used.

^“d”denotes that the significance of the coefficient changed when influential observations were removed from the analysis.

^*p < .05.

^**p < .01.