Education

Self assessment

The self-assessment section, along with targeted quizzes across the site, provides an interactive way for you to test and deepen your understanding of core epidemiology concepts and reinforce critical principles.

Latent class analysis

Test your knowledge of the principles of latent class analysis

1 / 10

Which of the following would NOT typically be considered a problem for the validity of an LCA model?

2 / 10

Which type of indicator variable is most appropriate for Latent Class Analysis?

3 / 10

Which of the following is a primary method for determining the optimal number of latent classes in Latent Class Analysis?

4 / 10

In Latent Class Analysis, what does the conditional independence assumption imply?

5 / 10

Which of the following scenarios would suggest that Latent Class Analysis might not be appropriate?

6 / 10

Which of the following would indicate that adding another latent class to an LCA model does not improve model fit?

7 / 10

In an LCA model with covariates, how do covariates impact the interpretation of the latent classes?

8 / 10

If an LCA model with three classes has a BIC of 2500 and an LCA model with four classes has a BIC of 2490, what does this suggest?

9 / 10

When conducting Latent Class Analysis, how can local dependence between observed variables within a latent class be addressed?

10 / 10

How would you interpret a situation in which adding covariates to an LCA model changes the distribution of individuals across classes?

Your score is

The average score is 40%

0%

Case Study Scenarios

The following are real-life epidemiology case scenarios where you can make decisions at each stage of an investigation (e.g., identifying study designs, selecting data collection methods, interpreting results).

Practice with Data

Latent class analysis

  • https://stats.oarc.ucla.edu/sas/dae/latent-class-analysis/
  • https://www.latentclassanalysis.com/code-repository/