Individual differences in core affect variability and their relationship to personality and psychological adjustment.

Department of Psychology, Katholieke Universiteit Leuven, Leuven, Belgium.
Emotion (Impact Factor: 3.88). 06/2007; 7(2):262-74. DOI: 10.1037/1528-3542.7.2.262
Source: PubMed

ABSTRACT How people's feelings change across time can be represented as trajectories in a core affect space defined by the dimensions of valence and activation. In this article, the authors analyzed individual differences in within-person affective variability defined as characteristics of core affect trajectories, introducing new ways to conceptualize affective variability. In 2 studies, participants provided multiple reports across time describing how they were feeling in terms of core affect. From these data, characteristics of participants' core affect trajectories were derived. Across both studies, core affect variability was negatively related to average valence, self-esteem, and agreeableness, and it was positively related to neuroticism and depression. Moreover, spin, a measure of how much people experienced qualitatively different feelings within the core affect space, was related more consistently to trait measures of adjustment and personality than other measures of within-person variability, including widely used measures of within-person single-dimension standard deviations.

1 Bookmark
  • [Show abstract] [Hide abstract]
    ABSTRACT: On the basis of self-regulation theories, the authors develop an affective shift model of work engagement according to which work engagement emerges from the dynamic interplay of positive and negative affect. The affective shift model posits that negative affect is positively related to work engagement if negative affect is followed by positive affect. The authors applied experience sampling methodology to test the model. Data on affective events, mood, and work engagement was collected twice a day over 9 working days among 55 software developers. In support of the affective shift model, negative mood and negative events experienced in the morning of a working day were positively related to work engagement in the afternoon if positive mood in the time interval between morning and afternoon was high. Individual differences in positive affectivity moderated within-person relationships. The authors discuss how work engagement can be fostered through affect regulation.
    Journal of Applied Psychology 07/2011; 96(6):1246-57. · 4.31 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We focus on comparing different modelling approaches for intensive longitudinal designs. Two methods are scrutinized, namely the widely used linear mixed model (LMM) and the relatively unexplored Ornstein-Uhlenbeck (OU) process based state-space model. On the one hand, we show that given certain conditions they result in equivalent outcomes. On the other hand, we consider it important to emphasize that their perspectives are different and that one framework might better address certain types of research questions than the other. We show that, compared to a LMM, an OU process based approach can cope with modelling inter-individual differences in aspects that are more substantively interesting. However, the estimation of the LMM is faster and the model is more straightforward to implement. The models are illustrated through an experience sampling study.
    British Journal of Mathematical and Statistical Psychology 02/2011; 64(Pt 1):134-60. · 1.26 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We investigated the roles of anxiety and positive affect in emotion regulation, looking simultaneously at personality, daily life events, and affects. We hypothesized that individual differences in the temporal dynamics of affective experience related to trait anxiety would manifest themselves both in affective responsiveness to life events and in homeostatic regulatory forces. Data were collected from 49 adults, who rated their affective state three times a day over a 40-day period. Data were analyzed using a dynamical system model and graphical representations in the form of vector fields. Results showed that anxiety chiefly interacted with home base (attractor) positions as a function of life events. It also influenced the shape of positive affectivity trajectories in response to negative events.
    Journal of Research in Personality 01/2011; 45:372-384. · 2.00 Impact Factor

Full-text (2 Sources)

Available from
May 31, 2014