|
Number of Classes
|
---|
Fit statistic
|
1
|
2
|
3
|
4
|
5
|
---|
Log-likelihood
|
-17571
|
-15773
|
-15450
|
-15316
|
-15292
|
# of estimated parameters
|
9
|
19
|
29
|
39
|
49
|
BIC
|
35220
|
31710
|
31149
|
30968
|
31005
|
P-value (k-1 vs. k)
|
N/A
|
P < .001
|
P < .001
|
P < .001
|
P = 0.058 (NS)
|
Entropy
|
N/A
|
0.79
|
0.82
|
0.84
|
0.84
|
# of bivariate residuals z > 1.96
|
36
|
28
|
15
|
7
|
5
|
- Fit Statistics for Latent Class Model of Perceived Barriers in Access to Medical Care Indicating Optimal 4-Class Solution.
- For Bayesian information criterion (BIC), a smaller value suggests a better model fit. The likelihood ratio test tests significance in the -2 times Log-likelihood difference between the model with k and k - 1 (H0) classes. Entropy values range from zero to one, with values closer to one indicating clearer delineation of latent classes. Reported p-values are for Lo-Mendell-Rubin adjusted log ratio test.