An extension of the mixed‐effects growth model that considers between‐person differences in the within‐subject variance and the autocorrelation

Experience sampling methods have led to a significant increase in the availability of intensive longitudinal data. Typically, this type of data is analyzed with a mixed‐effects model that allows to examine hypotheses concerning between‐person differences in the mean structure by including multiple r...

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Veröffentlicht in:	Statistics in medicine Jg. 41; H. 3; S. 471 - 482
1. Verfasser:	Nestler, Steffen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley Subscription Services, Inc 10.02.2022
Schlagworte:	Bayes Theorem Computer Simulation Ecological Momentary Assessment experience sampling data Growth models Humans levels mixed‐effects models within‐person autocorrelation within‐person variance within-person variance mixed-effects models experience sampling data levels within-person autocorrelation
ISSN:	0277-6715, 1097-0258, 1097-0258
Online-Zugang:	Volltext
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