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

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
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
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.soss_research-22382018-03-26T05:26:16Z Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change WANG, Mo CHAN, David 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 applied to substantive research in organizational settings to identify population subgroups with varying status change profiles and examine their correlates, by modeling unobserved heterogeneity in longitudinal qualitative changes. Steps in the modeling process are highlighted and limitations, cautions, recommendations, and extensions of the technique are discussed. 2011-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/982 info:doi/10.1177/1094428109357107 https://ink.library.smu.edu.sg/context/soss_research/article/2238/viewcontent/MixtureLatentMarkovModel_2011.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University mixture latent Markov modeling latent transition analysis longitudinal analysis qualitative status change Industrial and Organizational Psychology Quantitative Psychology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic mixture latent Markov modeling
latent transition analysis
longitudinal analysis
qualitative status change
Industrial and Organizational Psychology
Quantitative Psychology
spellingShingle mixture latent Markov modeling
latent transition analysis
longitudinal analysis
qualitative status change
Industrial and Organizational Psychology
Quantitative Psychology
WANG, Mo
CHAN, David
Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
description 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 applied to substantive research in organizational settings to identify population subgroups with varying status change profiles and examine their correlates, by modeling unobserved heterogeneity in longitudinal qualitative changes. Steps in the modeling process are highlighted and limitations, cautions, recommendations, and extensions of the technique are discussed.
format text
author WANG, Mo
CHAN, David
author_facet WANG, Mo
CHAN, David
author_sort WANG, Mo
title Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
title_short Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
title_full Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
title_fullStr Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
title_full_unstemmed Mixture Latent Markov Modeling: Identifying and Predicting Unobserved Heterogeneity in Longitudinal Qualitative Status change
title_sort mixture latent markov modeling: identifying and predicting unobserved heterogeneity in longitudinal qualitative status change
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/soss_research/982
https://ink.library.smu.edu.sg/context/soss_research/article/2238/viewcontent/MixtureLatentMarkovModel_2011.pdf
_version_ 1770571045789499392

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