Latent class membership based on the estimated posterior probability.

The first column shows the membership based on the mean posterior probability for each class. The second column shows the number of subjects (%) classified in a given class based on their most likely average latent class membership (row) by latent class (column). For example: The estimated average posterior probability of belonging to Class 1 is 49.7% corresponding to an estimated sample size of 728.8 subjects in this class. 52% of the subjects were classified into Class 1 based on their highest posterior probability. Their average posterior probability for membership of Class 1 was 86.1%, while their probability of belonging to Classes 2, 3, 4 or 5 was 12.1%, 0%, 1.8% and 0% respectively.