Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change

• Main Authors: WANG, Mo, CHAN, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: mixture latent Markov modeling; latent transition analysis; longitudinal analysis; qualitative status change; Industrial and Organizational Psychology; Quantitative Psychology
• Online Access: https://ink.library.smu.edu.sg/soss_research/982; https://ink.library.smu.edu.sg/context/soss_research/article/2238/viewcontent/MixtureLatentMarkovModel_2011.pdf
• Institution: Singapore Management University

There are many areas of organizational research where we may be concerned with subgroup differences in status change profiles. The purpose of this article is to illustrate, using a real data set on retirees' postretirement employment statuses (PES), how mixture latent Markov modeling may be app...