General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations

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A Latent Transition Mixture Model Using the Three-Step Specification (2014, methodology): “In another application of mixture modeling, Morin et al. (2011) used growth mixture modeling (GMM) to study heterogeneous developmental trajectories of anxiety in a sample of adolescents.”
Impact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models (2016, background): “GMMs represent longitudinal heterogeneity by identifying subgroups (latent classes) following qualitatively and quantitatively distinct trajectories (Morin et al., 2011).”
Profiles of dual commitment to the occupation and organization: Relations to well-being and turnover intentions (2015, methodology): “Therefore, our final objective is to extend Tsoumbris and Xenikou’s (2010) study using a larger sample of professional employees and more powerful 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 ”
Variable-Centered, Person-Centered, and Person-Specific Approaches (2018, methodology): “Based on prior recommendations and empirical works (Meyer, Morin, & Vandenberghe, 2015; Morin et al., 2011; Peugh & Fan, 2013), we originally allowed all profile means and variances to be freely estimated.”