scholarly journals Partitioning the variability of daily emotion dynamics in dyadic interactions with a mixed-effects location scale model

2017 ◽  
Vol 15 ◽  
pp. 10-15 ◽  
Author(s):  
Emilio Ferrer ◽  
Philippe Rast
2018 ◽  
Vol 53 (5) ◽  
pp. 756-775 ◽  
Author(s):  
Philippe Rast ◽  
Emilio Ferrer

2018 ◽  
Author(s):  
Philippe Rast ◽  
Emilio Ferrer

We present a mixed-effects location scale model (MELSM) for examining thedaily dynamics of affect in dyads. The MELSM includes person and timevarying variables to predict the location, or individual means, and the scale,or within-person variances. It also incorporates a sub-model to account forbetween-person variances. The dyadic specification can accommodate individual and partner effects in both the location and the scale components,and allows random effects for all location and scale parameters. All covariances among the random effects, within and across the location and the scaleare also estimated. These covariances offer new insights into the interplayof individual mean structures, intra-individual variability, and the influenceof partner effects on such factors. To illustrate the model, we use data from274 couples who provided daily ratings on their positive and negative emotions toward their relationship – up to 90 consecutive days. The model is fitusing Hamiltonian Monte Carlo methods, and includes subsets of predictorsin order to demonstrate the flexibility of this approach. We conclude witha discussion on the usefulness and the limitations of the MELSM for dyadicresearch.


Methodology ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 95-108 ◽  
Author(s):  
Steffen Nestler ◽  
Katharina Geukes ◽  
Mitja D. Back

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.


2019 ◽  
Vol 51 (5) ◽  
pp. 1968-1986 ◽  
Author(s):  
Donald R. Williams ◽  
Daniel R. Zimprich ◽  
Philippe Rast

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132192 ◽  
Author(s):  
Thayse Natacha Gomes ◽  
Donald Hedeker ◽  
Fernanda Karina dos Santos ◽  
Sara Pereira ◽  
Peter T. Katzmarzyk ◽  
...  
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