Literature DB >> 31681824

Partitioning the Variability of Daily Emotion Dynamics in Dyadic Interactions with a Mixed-Effects Location Scale Model.

Emilio Ferrer1, Philippe Rast1.   

Abstract

We examine the daily exchanges in affect and emotional experiences of individuals in dyads using a mixed-effects location scale model. We argue that this method is useful to characterize the daily fluctuations in emotions for each individual as well as their interrelations over time. Furthermore, we illustrate how to consider the potential effect of factors external to the dyads' emotion dynamics, an aspect often ignored in emotion research. In particular, we show how daily weather may influence within-person variability of affect toward one's relationship, beyond the influence of one's and the partner's affect. We interpret our findings in the context of emotion research and methodology for dyadic interactions.

Entities:  

Year:  2017        PMID: 31681824      PMCID: PMC6824433          DOI: 10.1016/j.cobeha.2017.05.005

Source DB:  PubMed          Journal:  Curr Opin Behav Sci        ISSN: 2352-1546


  10 in total

1.  Modeling affective processes in dyadic relations via dynamic factor analysis.

Authors:  Emilio Ferrer; John R Nesselroade
Journal:  Emotion       Date:  2003-12

2.  Two distinct emotional experiences in romantic relationships: effects of perceptions regarding approach of intimacy and avoidance of conflict.

Authors:  Jean-Philippe Laurenceau; Adam B Troy; Charles S Carver
Journal:  Pers Soc Psychol Bull       Date:  2005-08

3.  An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data.

Authors:  Donald Hedeker; Robin J Mermelstein; Hakan Demirtas
Journal:  Biometrics       Date:  2007-10-26       Impact factor: 2.571

4.  An idiographic approach to estimating models of dyadic interactions with differential equations.

Authors:  Joel S Steele; Emilio Ferrer; John R Nesselroade
Journal:  Psychometrika       Date:  2013-12-19       Impact factor: 2.500

5.  Dynamical systems modeling of physiological coregulation in dyadic interactions.

Authors:  Emilio Ferrer; Jonathan L Helm
Journal:  Int J Psychophysiol       Date:  2012-10-27       Impact factor: 2.997

6.  An Unscented Kalman Filter Approach to the Estimation of Nonlinear Dynamical Systems Models.

Authors:  Sy-Miin Chow; Emilio Ferrer; John R Nesselroade
Journal:  Multivariate Behav Res       Date:  2007 Apr-Jun       Impact factor: 5.923

7.  Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data.

Authors:  Donald Hedeker; Robin J Mermelstein; Michael L Berbaum; Richard T Campbell
Journal:  Addiction       Date:  2009-02       Impact factor: 6.526

8.  Modeling Individual Differences in Within-Person Variation of Negative and Positive Affect in a Mixed Effects Location Scale Model Using BUGS/JAGS.

Authors:  Philippe Rast; Scott M Hofer; Catharine Sparks
Journal:  Multivariate Behav Res       Date:  2012-03-30       Impact factor: 5.923

9.  Differences in within- and between-person factor structure of positive and negative affect: analysis of two intensive measurement studies using multilevel structural equation modeling.

Authors:  Jonathan Rush; Scott M Hofer
Journal:  Psychol Assess       Date:  2014-02-10

10.  The relation between neonatal heart period patterns and developmental outcome.

Authors:  N A Fox; S W Porges
Journal:  Child Dev       Date:  1985-02
  10 in total

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