Table 3. Goodness of fit indices for the different models.
| Models | n | χ2 | Df | p | CFI | TLI | RMSEA |
|---|---|---|---|---|---|---|---|
| M1. ESEM Motives pool 4F | 203 | 336.4 | 249 | .000 | .987 | .981 | .042 |
| M2. ESEM Motives pool 5F | 203 | 272.0 | 226 | .020 | .993 | .989 | .032 |
| M3. CFA bGMI 4F | 203 | 237.9 | 129 | .000 | .980 | .976 | .064 |
| M4. ESEM bGMI 4F | 203 | 136.6 | 87 | .001 | .991 | .984 | .053 |
| M5. CFA SPSRQ | 196 | 217.4 | 169 | .007 | .960 | .955 | .038 |
| M6. ESEM SPSRQ | 196 | 148.8 | 151 | .536 | 1.000 | 1.002 | .000 |
| M7. ESEM SOGS | 199 | 181.0 | 152 | .054 | .996 | .995 | .031 |
| M8. MEASUREMENT MODEL: ESEM bGMI 4F –ESEM SPSRQ–ESEM SOGS–FREQ | Non-positive definite latent variable covariance matrix | ||||||
| M9. MEASUREMENT MODEL: ESEM bGMI 4F –ESEM SPSRQ–ESEM SOGS PARCELS–FREQ | 203 | 853.7 | 766 | .015 | .983 | .980 | .024 |
| M10. STRUCTURAL MODEL: ESEM bGMI 4F –ESEM SPSRQ–ESEM SOGS PARCELS–FREQ | 203 | 861.9 | 772 | .013 | .983 | .980 | .024 |
Note: df = degrees of freedom; TLI = Tucker-Lewis index; CFI = comparative fit index; RMSEA = root mean square error of approximation; ESEM = exploratory structural equation modeling; CFA = confirmatory factor analysis. SPSRQ: Sensitivity to Punishment and Sensitivity to Reward Questionnaire. SOGS: South Oaks Gambling Screen. bGMI: brief Gambling Motives Inventory. FREQ: Gambling frequency per game ad hoc survey. PARCELS: Measurement model with item parcels (see text).