TABLE 3.
Goodness-of-fit statistics for the estimated models.
| Model | χ2 | df | CFI | TLI | RMSEA | 90% CI of RMSEA |
| Problematic social media use CFA, T1 |
70.154** | 9 | 0.986 | 0.976 | 0.076 | 0.060–0.093 |
| Problematic social media use CFA, T2 |
73.267** | 9 | 0.957 | 0.928 | 0.116 | 0.092–0.141 |
| Problematic social media use CFA, T3 |
37.659** | 9 | 0.979 | 0.965 | 0.097 | 0.066–0.130 |
| Problematic social media use LGC |
15.725** | 1 | 0.959 | 0.876 | 0.108 | 0.065–0.158 |
| Problematic social media use LGC alternative model |
54.844** | 0 | 0.846 | 1.000 | 0.000 | 0.000–0.000 |
| Online gaming disorder CFA, T1 |
40.611* | 27 | 0.989 | 0.985 | 0.027 | 0.004–0.043 |
| Online gaming disorder CFA, T2 |
25.796 | 27 | 0.989 | 0.985 | 0.027 | 0.004–0.043 |
| Online gaming disorder CFA, T3 |
43.901* | 27 | 0.984 | 0.978 | 0.066 | 0.026–0.100 |
| Online gaming disorder LGC |
2.550 | 1 | 0.965 | 0.895 | 0.046 | 0.000–0.119 |
| Online gaming disorder LGC alternative model |
0.000** | 0 | 1.000 | 1.000 | 0.000 | 0.000–0.000 |
| Gambling disorder CFA, T11 |
58.123** | 27 | 0.997 | 0.996 | 0.046 | 0.030–0.062 |
| Gambling disorder LGC |
0.308 | 1 | 1.000 | 1.000 | 0.000 | 0.000–0.088 |
| Gambling disorder LGC alternative model |
0.207** | 0 | 0.991 | 1.000 | 0.000 | 0.000–0.000 |
| Problematic pornography use CFA, T1 |
21.797** | 9 | 0.997 | 0.995 | 0.045 | 0.021–0.069 |
| Problematic pornography use CFA, T2 |
14.839 | 9 | 0.996 | 0.994 | 0.048 | 0.000–0.091 |
| Problematic pornography use CFA, T3 |
15.240 | 9 | 0.995 | 0.992 | 0.062 | 0.000–114 |
| Problematic pornography use LGC |
1.145 | 1 | 0.999 | 0.997 | 0.014 | 0.000–0.098 |
| Problematic pornography use LGC alternative model |
0.148** | 0 | 0.999 | 1.000 | 0.000 | 0.000–0.000 |
| Compulsive sexual behavior disorder CFA, T1 |
661.599** | 147 | 0.947 | 0.938 | 0.065 | 0.060–0.070 |
| Compulsive sexual behavior disorder CFA, T2 |
389.494** | 147 | 0.960 | 0.954 | 0.063 | 0.056–0.071 |
| Compulsive sexual behavior disorder CFA, T3 |
302.724** | 147 | 0.953 | 0.946 | 0.067 | 0.056–0.078 |
| Compulsive sexual behavior disorder LGC |
0.359 | 1 | 1.000 | 1.000 | 0.000 | 0.000–0.730 |
| Compulsive sexual behavior disorder LGC alternative model |
9.297** | 0 | 0.958 | 1.000 | 0.000 | 0.000–0.000 |
χ2, robust Chi-square test for exact of fit; df, degrees of freedom; CFI, comparative fit index; TLI, Tucker-Lewis index; RMSEA, root mean square error of approximation; 90% CI, confidence interval of the RMSEA; CFA, confirmatory factor analysis; LGC, latent growth-curve model; alternative model, the variance of the slope factor left infixed at the second data collection time-point.
The three values in each box are the correlations at the three data collections (i.e., T1/T2/T3). 1In case of gambling disorder, the latent growth curve models were computed using the measured scale points, as the confirmatory factor analyses did not converge on T2 and T3 data collection waves. *p < 0.05; **p < 0.01.