Table 3.

Multinomial regression models predicting the odds of self-report classification (relative to Accurate) for each SM platform as a function of participant sex and total number of SM platforms used.

Platform	Outcome	Predictors	OR	95% CI [OR]
Facebook
	Under-estimator	Female Sex	0.89	0.39–2.03
		Number of SM platforms used	1.01	0.59–1.72
	Over-estimator	Female Sex	1.36	0.79–2.33
		Number of SM platforms used	0.96	0.69–1.35
Twitter
	Under-estimator	Female Sex	1.08	0.44–2.67
		Number of SM platforms used	6.07 **	2.14–17.21
	Over-estimator	Sex	1.19	0.67–2.13
		Number of SM platforms used	7.94 **	4.10–15.37
Instagram
	Under-estimator	Female Sex	1.22	0.64–2.31
		Number of SM platforms used	1.06	0.72–1.57
	Over-estimator	Sex	2.15 **	1.29–3.59
		Number of SM platforms used	1.51 **	1.08–2.10
Snapchat
	Under-estimator	Female Sex	1.92 *	1.01–3.64
		Number of SM platforms used	1.69 *	1.08–2.66
	Over-estimator	Female Sex	2.26 **	1.35–3.79
		Number of SM platforms used	1.43 *	1.03–2.00
Total SM
	Under-estimator	Sex	1.28	0.63–2.58
		Number of SM platforms used	1.38	0.91–2.08
	Over-estimator	Sex	1.43	0.78–2.62
		Number of SM platforms used	1.82 **	1.26–2.60

Notes. OR refers to Odds Ratio and 95% CI of [OR] refers the 95% confidence interval for the Odds Ratio; * p < 0.05, ** p < 0.01.