The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data
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Summary For longitudinal data, mixed models include random subject effects to indicate how subjects influence their responses over repeated assessments. The error variance and the variance of the random effects are usually considered to be homogeneous. These variance terms characterize the within‐subjects (i.e., error variance) and between‐subjects (i.e., random‐effects variance) variation in the data. In studies using ecological momentary assessment (EMA), up to 30 or 40 observations are often obtained for each subject, and interest frequently centers around changes in the variances, both within and between subjects. In this article, we focus on an adolescent smoking study using EMA where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances, and also extend the standard mixed model by adding a subject‐level random effect to the within‐subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. Additionally, we allow the location and scale random effects to be correlated. These mixed‐effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure.
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Cites
Diary Methods: Capturing Life as it is Lived
Bolger, N., Davis, A., & Rafaeli, E. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145030 · Cited by 3,843
Linear Mixed Models for Longitudinal Data
Verbeke, G. (1997) · Lecture Notes in Statistics · doi:10.1007/978-1-4612-2294-1_3 · Cited by 3,506
Linear Mixed Models for Longitudinal Data
Molenberghs, G., & Verbeke, G. (2000) · Springer Series in Statistics · doi:10.1007/978-1-4419-0300-6 · Cited by 2,646
(2018) · The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation · doi:10.4135/9781506326139.n404 · Cited by 1,528
Estimating Regression Models with Multiplicative Heteroscedasticity
Harvey, A. C. (1976) · Econometrica · doi:10.2307/1913974 · Cited by 951
Multivariate Statistical Methods in Behavioral Research.
Lachenbruch, P. A., & Bock, R. D. (1977) · Journal of the American Statistical Association · doi:10.2307/2286249 · Cited by 790
Longford, N. T. (2011) · International Encyclopedia of Statistical Science · doi:10.1007/978-3-642-04898-2_471 · Cited by 745
Fleeson, W. (2004) · Current Directions in Psychological Science · doi:10.1111/j.0963-7214.2004.00280.x · Cited by 649
Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
Neuhaus, J. M., & Kalbfleisch, J. D. (1998) · Biometrics · doi:10.2307/3109770 · Cited by 525
Longford, N. T. (1994) · doi:10.1093/oso/9780198522645.001.0001 · Cited by 391
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Metadata
- Authors
- Hedeker, D., Mermelstein, R. J., & Demirtas, H.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-06
- Volume
- 64
- Issue
- 2
- Pages
- 627-634
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W2019080254
- Cited by
- 327
- References
- 30
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- green
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