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Latent class analysis in R. Episode 19, LCA with covariates, continued / [an on-demand workshop by Zsuzsa Bakk] ; [Quantfish].
- Format:
- Video
- Series:
- Academic Video Online
- Language:
- English
- Subjects (All):
- Latent structure analysis.
- R (Computer program language).
- Genre:
- Instructional films.
- Short films.
- Physical Description:
- 1 online resource (24 minutes)
- Other Title:
- LCA with covariates, continued
- Continuous covariates
- Latent class & latent transition analysis in R. Part 2, LCA with covariates. Continuous covariates
- LCA & LTA in R workshop
- Place of Publication:
- Ronceverte, West Virginia : Quantfish, 2024.
- Language Note:
- In English.
- System Details:
- video file
- Summary:
- In this session, we will look into adding continuous predictors and multiple predictors to LC models. Focus on how to interpret partial regression coefficients.
- Participant:
- Zsuzsa Bakk, instructor.
- Notes:
- Title from resource description page (viewed November 14, 2025).
- OCLC:
- 1559150138
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