Table 1

Reliability of predicting indicators ranging from one to three profiles

Model GMALLAICCAICBICARABICaLMRBLRT
1. Profile−2442.9205202.95244.85259.85225.5
2. Profiles−2494.9222992.05045.45042.45008.40.020<0.00
3. Profiles−2442.9442922.02990.52980.52952.9<0.00<0.00
4. Profiles−2400.2202954.22929.02922.02949.80.429<0.00
5. Profiles−2592.9442904.92929.22999.22954.80.044<0.00
Controls Results
Null effects−2504.8902044.22859.42822.42009.4
Effects on Profile−2294.9982649.92920.02892.02699.00.020<0.00
Effects on Profile, Intercept−2292.9962642.92954.22902.02696.50.028<0.00
Effects on Profile, Intercept, Slope number (var.)−2266.4942644.22992.92950.92858.20.040<0.00

Note(s): L: model log-likelihood; AIC: Akaike information criteria; CAIC: constant AIC; BIC: Bayesian information criteria; ABIC: sample size adjusted BIC; aLMR: adjusted Lo–Men del–Rubin likelihood ratio test; BLRT: bootstrap likelihood ratio test

Source(s): Authors’ work

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