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Table 1 Model fit statistics of latent class analysis on five physical activity variables

From: Variations in adolescents’ motivational characteristics across gender and physical activity patterns: A latent class analysis approach

 

Number of classes

  

2

3

4

5

6

7

Female

 LL (df)

 

− 1775.94 (11)

− 1764.61 (17)

− 1759.01 (3)

− 1751.58 (29)

− 1749.54 (5)

− 1748.20 (6)

 AIC

 

3573.88

3563.21

3524.02

3561.15

3509.09

3508.41

 BIC

 

3622.43

3638.24

3537.26

3689.14

3531.15

3534.89

 SSABIC

 

3587.50

3584.27

3527.74

3597.08

3515.28

3515.84

 Entropy

 

0.0

0.80

0.82

0.79

0.82

0.81

 No. of sig. residuals

 

1

1

1

0

0

0

 LRT

 

165.07

22.09

46.61

14.49

123.07

8.45

p

 

.00

.00

.00

.30

.00

.00

Male

 LL (df)

 

− 1114.78 (11)

− 1102.69 (2)

− 1094.99 (3)

− 1087.43 (4)

− 1085.99 (5)

− 1085.29 (6)

 AIC

 

2251.55

2209.38

2195.97

2182.86

2181.99

2182.59

 BIC

 

2295.07

2217.29

2207.84

2198.69

2201.77

2206.32

 SSABIC

 

2260.17

2210.95

2198.32

2185.99

2185.91

2187.28

 Entropy

 

1.00

0.92

0.94

0.90

0.84

0.90

 No. of sig. residuals

 

2

0

0

0

0

0

 LRT

 

66.03

1760.52

26.58

37.33

455.34

23.92

p

 

.00

.00

.00

.00

.00

.00

  1. LL(df) loglikelihood value and associated degrees of freedom, AIC Akaike Information Criterion, BIC Bayesian information criteria, SSABIC sample size adjusted Bayesian information criterion, LRT Lo-Mendell-Rubin adjusted likelihood ratio test value