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. Author manuscript; available in PMC: 2022 Dec 30.
Published in final edited form as: Drug Alcohol Depend Rep. 2022 Nov 22;5:100123. doi: 10.1016/j.dadr.2022.100123

Table 6.

Model fit statistics, standardized factor loadings, and factor correlations for alternate models of drug use disorder.

Statistics, loadings, and correlations Bifactor Correlated Factors
Statistic Model fit Model fit
Chi-square (WLSMV) 128.522 163.499
Degrees of freedom 54 67
Comparative fit index 0.992 0.990
Tucker-Lewis index 0.986 0.985
RMSEA (90% CI) 0.006 (0.005–0.008) 0.006 (0.005–0.008)
Standardized factor loading (SE) General Uppers Downers All-Arounders Uppers Downers All-Arounders
Prescription opioids 0.738 (0.024) 0.562 (0.058) 0.888 (0.011)
Sedatives 0.784 (0.022) 0.400 (0.044) 0.917 (0.015)
Heroin 0.672 (0.037) 0.379 (0.057) 0.796 (0.029)
Cannabis 0.666 (0.021) 0.568 (0.160) 0.780 (0.015)
Cocaine/crack 0.839 (0.021) 0.100 (0.106) 0.845 (0.012)
Stimulants 0.850 (0.025) 0.097 (0.102) 0.845 (0.012)
Club drugs 0.893 (0.029) 0.166 (0.093) 0.932 (0.016)
Hallucinogens 0.920 (0.027) 0.178 (0.093) 0.961 (0.012)
Inhalants 0.873 (0.040) 0.095 (0.109) 0.898 (0.028)
Factor correlation (95% CI)
Uppers .85 (0.81-0.89) .95 (0.92-0.98)
Downers .81 (0.78-0.85)

Note. Bold font indicates significant factor loading/correlation, p<.001.

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