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

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...

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Main Authors: WANG, Mo, CHAN, David
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2011
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在線閱讀:https://ink.library.smu.edu.sg/soss_research/982
https://ink.library.smu.edu.sg/context/soss_research/article/2238/viewcontent/MixtureLatentMarkovModel_2011.pdf
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