Article

Modeling and Predicting Complex Patterns of Change Using Growth Component Models: An Application to Depression Trajectories in Cancer Patients

2019-10-12

Abstract excerpt

<p>In this paper, we present a general and flexible framework for constructively defining growth components to model complex change processes. Building on the concepts of the latent state-trait theory (LST theory; Steyer, Ferring, & Schmitt, 1992), we develop structural equation models containing latent variables that represent latent growth (change) components of interest. We formulate these models based on a...

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Literature Corpus work: 900e2a6f-99fc-5148-b050-7ac4d8d89a4c
DOI: 10.31234/osf.io/6kd3w

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