Table 2.

Parameter estimates

	Happiness				SDQ total difficulties
	Females (n = 4765)		Males (n = 4903)		Females (n = 4762)		Males (n = 4901)
	PE	95% CI	PE	95% CI	PE	95% CI	PE	95% CI
Model Intercepts
Well-being Intercept	36.55	(33.32, 39.78)	38.40	(35.20, 41.61)	13.57	(8.86, 18.27)	10.44	(5.54, 15.34)
Well-being Slope	1.65	(− 0.01, 3.31)	0.76	(−1.00, 2.52)	1.69	(0.44, 2.93)	0.78	(− 0.40, 1.95)
SMI intercept	0.00		0.00		0.00		0.00
SMI slope	0.44	(− 0.32, 1.20)	0.47	(− 0.26, 1.20)	− 0.17	(− 0.71, 0.36)	0.11	(− 0.46, 0.68)
Growth factor associations
Path A: Intercept SMI < −-> Intercept WBa	− 0.10	(− 0.19, − 0.01)	−0.02	(− 0.10, 0.07)	0.18	(0.08, 0.27)	0.10	(0.01, 0.19)
Path B: Slope SMI < −-> Slope WBa	− 0.23	(−0.36, − 0.09)	−0.02	(− 0.15, 0.12)	0.26	(0.09, 0.43)	0.17	(−0.03, 0.36)
Path C: Slope SMI < −- Intercept SMI	−0.08	(− 0.13, − 0.04)	−0.14	(− 0.17, − 0.11)	−0.08	(− 0.13, − 0.04)	−0.14	(− 0.17, − 0.11)
Path D: Slope WB < −- Intercept WB	−0.08	(− 0.12, − 0.04)	−0.07	(− 0.11, − 0.03)	−0.10	(− 0.15, − 0.05)	−0.08	(− 0.12, − 0.03)
Path E: Slope WB < −- Intercept SMI	−0.06	(− 0.13, 0.01)	−0.004	(− 0.05, 0.04)	0.10	(0.004, 0.19)	0.03	(−0.03, 0.10)
Path F: Slope SMI < −- Intercept WB	−0.01	(− 0.03, 0.001)	−0.01	(− 0.02, 0.002)	0.01	(− 0.01, 0.02)	− 0.001	(− 0.01, 0.01)
Model fit
Loglikelihood	−43,001.75		−42,831.53		−31,170.95		−31,064.01
AIC	86,111.50		85,771.06		62,449.90		62,236.02
BIC	86,289.24		86,121.94		62,799.19		62,586.86

Abbreviations: AIC Akaike Information Criterion, BIC Bayesian Information Criterion, 95% CI 95% Confidence Interval, PE Raw parameter estimate, SMI Social Media Interaction, WB Well-being; <−- regression; <−-> correlation

^aCoefficients are correlations