Author:

Keywords:

core affect, within-person variability, mood variability, psychological adjustment, self-esteem, emotional reactivity, affect intensity, valence focus, experience, stability, states, reliability, predictors, Social Sciences, Psychology, Experimental, Psychology, MOOD VARIABILITY, SELF-ESTEEM, EMOTIONAL REACTIVITY, AFFECT INTENSITY, VALENCE FOCUS, EXPERIENCE, STABILITY, STATES, RELIABILITY, PREDICTORS, Adaptation, Psychological, Adult, Affect, Arousal, Character, Computer Graphics, Computers, Handheld, Depression, Female, Humans, Individuality, Male, Models, Statistical, Neurotic Disorders, Personality Inventory, Psychometrics, Self Concept, Statistics as Topic, 1701 Psychology, 1702 Cognitive Sciences, Experimental Psychology, 52 Psychology

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.