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Table 2 Parameter estimates

From: Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK

  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  
  1. 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
  2. aCoefficients are correlations