Title

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

Publication Type

Journal Article

Publication Date

2011

Abstract

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.

Discipline

Industrial and Organizational Psychology | Quantitative Psychology

Research Areas

Psychology

Publication

Organizational Research Methods

Volume

14

Issue

3

First Page

411

Last Page

431

ISSN

1094-4281

Identifier

10.1177/1094428109357107

Publisher

SAGE

Additional URL

http://dx.doi.org/10.1177/1094428109357107

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