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

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

2 / 10

Which of the following methods can be used to evaluate model fit in Latent Class Analysis when BIC and AIC provide conflicting recommendations?

3 / 10

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

4 / 10

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

5 / 10

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

6 / 10

In the context of LCA, what does entropy measure?

7 / 10

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

8 / 10

Which of the following best describes the role of posterior probabilities in Latent Class Analysis?

9 / 10

In the context of LCA, what does a high posterior probability for a specific class indicate about an individual’s classification?

10 / 10

What is one advantage of using Latent Class Analysis over traditional clustering methods like k-means clustering?

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/