Modeling Self-Regulation as a Process Usinga Multiple Time-Scale Multiphase Latent Basis Growth Model |
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| Authors: | Jonathan Lee Helm Nilam Ram Pamela M Cole Sy-Miin Chow |
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| Institution: | 1. The Pennsylvania State University;2. The Pennsylvania State University and German Institute of Economic Research (DIW), Berlin, Germany |
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| Abstract: | Measurement burst designs, wherein individuals are measured intensively during multiple periods (i.e., bursts), have created new opportunities for studying change at multiple time scales. This article develops a model that might be useful in situations where the functional form of short-term change is unknown, might consist of multiple phases, and might change over the long term. Specifically, we combine measurement of intraindividual entropy, a latent basis growth model, a multiphase growth model, and a growth model with covariates into a unified framework that could help accommodate the complexity of patterns that emerge in multiple time-scale categorical data streams. Empirical data from a longitudinal study of young children’s behavior during laboratory tasks designed to induce frustration are used to illustrate the utility of the proposed model for simultaneously describing intratask (short-term) change in self-regulation and developmental (long-term) shifts in intratask change. |
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| Keywords: | multiple time scale analysis development of Self-Regulation entropy |
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