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Table 2 (Aim 1 Results).

From: Patterns of perceived barriers to medical care in older adults: a latent class analysis

 

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

  1. Fit Statistics for Latent Class Model of Perceived Barriers in Access to Medical Care Indicating Optimal 4-Class Solution.
  2. 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.
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BMC Health Services Research

ISSN: 1472-6963

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