Modeling Individual Differences in Within-Person Variation of Negative and Positive Affect in a Mixed Effects Location Scale Model Using BUGS/JAGS
Authors:
- 30 March 2012
- journal article
- research article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 47 (2) , 177-200
Abstract
A mixed effects location scale model was used to model and explain individual differences in within-person variability of negative and positive affect across 7 days (N=178) within a measurement burst design. The data come from undergraduate university students and are pooled from a study that was repeated at two consecutive years. Individual differences in level and change in mood was modeled with a random intercept and random slope where the residual within-person variability was allowed to vary across participants. Additionally changes in within-person variability were explained by the inclusion of a time-varying predictor indicating the severity of daily stressors. This model accounted for 2 location and 2 scale effects and provided evidence that individuals who reported higher severity in daily stressors also exhibited greater variability in affect—but only for participants who showed low overall affect variability and who reported low average negative affect. Those who were more variable in their affect reports overall were less reactive to daily stressors in the sense that their high levels of affect variability remained high. We describe the utility of this model for further research on individual variation and change.Keywords
This publication has 30 references indexed in Scilit:
- The Importance of Being VariableThe Journal of Neuroscience, 2011
- Modeling mood variation associated with smoking: an application of a heterogeneous mixed‐effects model for analysis of ecological momentary assessment (EMA) dataAddiction, 2009
- An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) DataBiometrics, 2008
- Multilevel Models for Examining Individual Differences in Within-Person Variation and Covariation Over TimeMultivariate Behavioral Research, 2007
- Neurocognitive markers of cognitive impairment: Exploring the roles of speed and inconsistency.Neuropsychology, 2007
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)Bayesian Analysis, 2006
- The Positive and Negative Affect Schedule (PANAS): Construct validity, measurement properties and normative data in a large non‐clinical sampleBritish Journal of Clinical Psychology, 2004
- Intraindividual variability in perceived control in a older sample: The MacArthur successful aging studies.Psychology and Aging, 1997
- A Language and Program for Complex Bayesian ModellingJournal of the Royal Statistical Society: Series D (The Statistician), 1994
- Modelling Variance Heterogeneity in Normal Regression Using GLIMJournal of the Royal Statistical Society Series C: Applied Statistics, 1987