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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格式: | text |
語言: | English |
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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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