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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: J Acad Nutr Diet. 2018 Jul 24;118(10):1844–1854. doi: 10.1016/j.jand.2018.04.017

Table 2.

Fit statistics for unconditional latent class analysis model of 13 measures of food acquisition and shopping habits of 466 participants from disadvantaged communities in a study of food access, food shopping, and food security in South Carolina (2013–2014)

No. of
classes
Likelihood Bayesian
Information
Criteria
Akaike
Information
Criteria
Entropy R2 No. parameter Classification Errors Bootstrap
likelihood ratio
testa
2 −3602.70 7371.30 7259.41 0.77 27 0.07 --

3 −3535.83 7323.57 7153.66 0.75 41 0.11 <.001

4 −3504.00 7345.94 7118.01 0.74 55 0.14 <.001
5 −3476.07 7376.09 7090.14 0.76 69 0.15 <.001

Test did not go beyond five classes, because less than 10% of participants were classified into one of the classes.

a

P value for k-class vs. (k+1) - class solution