Modeling Self-Regulation as a Process Usinga Multiple Time-Scale Multiphase Latent Basis Growth Model. Issue 5 (2nd September 2016)

• Record Type: Journal Article
• Authors: Helm, Jonathan Lee; Ram, Nilam; Cole, Pamela M.; Chow, Sy-Miin
• Is Part Of: Structural equation modeling. Volume 23:Issue 5(2016)
• Page Start: 635
• Page End: 648
• Publication Date: 2016-09-02
• Subjects: multiple time scale analysis -- development of Self-Regulation -- entropy; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2016.1178580
• Languages: English
• ISSNs: 1070-5511

Abstract

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.