Table 3.
Fit indices for three models using latent profile analysis (n = 3967)
|
M
|
df
|
χ2
|
G2
|
aBIC
|
AIC
|
Entropy
|
LMR
|
BLRT
|
Group size for each profile (%)
|
|||
|
1
|
2
|
3
|
4
|
|||||||||
| 1 | 2963 | 16130 | 312372 | 386431 | 380120.1 | - | - | - | 3967 (100) | |||
| 2 | 2742 | 12040 | 290985.2 | 366874.6 | 359174.5 | 0.781 | 0.043 | 0.001 | 1225 (35.7) | 2742 (64.3) | ||
| 3 | 1121 | 23910 | 282288.2 | 371608.7 | 353719.4 | 0.742 | 0.342 | 0.001 | 488 (12.3) | 747 (18.8) | 2732 (68.9) | |
| 4 | 1292 | 26059 | 279126.3 | 367029.9 | 350215.5 | 0.670 | 0.471 | 0.001 | 1067 (26.9) | 603 (15.2) | 1944 (49) | 353 (0.088) |
Numbers in bold indicate “best” fit. AIC: Akaike information criterion; BIC: Bayesian information criterion; aBIC: Adjusted Bayesian information criterion; pLMR: P value for LoMendell-Rubin adjusted likelihood ratio test for K vs K-1 profiles; pBLRT: P value for bootstrapped likelihood ratio test.