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Taylor & Francis (Routledge), Structural Equation Modeling: A Multidisciplinary Journal, 2(22), p. 264-275

DOI: 10.1080/10705511.2014.936340

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Growth Mixture Models Outperform Simpler Clustering Algorithms When Detecting Longitudinal Heterogeneity, Even With Small Sample Sizes

Journal article published in 2014 by Daniel P. Martin, Timo von Oertzen
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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