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Latent profile analysis with Mplus. Series 1, episode 22, Covariate analysis in Mplus : 3 classes, binary covariate / Dr. Christian Geiser.

Academic Video Online: Premium - United States Available online

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Format:
Video
Contributor:
Geiser, Christian, speaker.
Quantfish, publisher, production company.
Series:
Academic Video Online
Language:
English
Subjects (All):
Mplus.
Correlation (Statistics).
Genre:
Instructional films.
Short films.
Physical Description:
1 online resource (13 minutes)
Other Title:
Latent profile analysis with Mplus. Session 21, LPA with covariates. Part 4
Covariate analysis in Mplus : 3 classes, binary covariate
LPA with covariates. Part 4
Latent profile analysis with Mplus. Day 4, Predictors and outcomes of class membership. Covariate analysis in Mplus : 3 classes, binary covariate
Place of Publication:
[Place of publication not identified] : Quantfish, 2023.
Language Note:
In English.
System Details:
video file
Summary:
In this session, I show how a binary covariate can be analyzed for a 3-class model in Mplus (multinomial logistic regression).
Participant:
Christian Geiser, instructor.
Notes:
Title from resource description page (viewed November 24, 2025).
OCLC:
1568123048

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