Skip to main content

Table 3 Fit Indices of unconditional LPA models with increasing number of latent profiles

From: Want-to, have-to, amotivation, grit, self-control, and tolerance ambiguity among university students: latent profile analysis

 

One-profile

Two-profile

Three-profile

Four-profile

Fit statistics

 LL(No. of parameters)

-2862.77(10)

-2651.87(16)

-2542.45(30)

-2501.76(28)

 AIC

5745.55

5335.74

5118.90

5059.52

 BIC

5788.18

5403.96

5246.80

5178.89

 SABIC

5756.44

5353.17

5151.57

5090.02

 Entropy

-

0.86

0.82

0.81

 LMR-LRT(p)

-

410.87(0.00)

213.94(0.00)

79.35(0.24)

 VLMR-LRT(p)

-

-2862.77(0.00)

-2638.13(0.00)

-2542.49(0.23)

 BLRT(p)

-

-2862.77(0.00)

-2638.13(0.00)

-2542.49(0.00)

Profile size (%) P1

525(100%)

91(17%)

59(11%)

275(52%)

 P2

 

434(83%)

282(54%)

58(11%)

 P3

  

184(35%)

168(32%)

 P4

   

25(4%)

  1. LL Lilelihood, AIC Akaike Information Criterion, BIC Bayesian Information Criterion, SABIC Sample Adjusted BIC, LMR-LRT Lo-Mendell-Rubin test, VLMR-LRT Vuong- Lo-Mendell-Rubin Likelihood Test, BLRT Bootstrap Likelihood Ratio Test