title: Differential predictability of four dimensions of affect intensity.
abstract: Individual differences in affect intensity are typically assessed with the Affect Intensity Measure (AIM). Previous factor analyses suggest that the AIM is comprised of four weakly correlated factors: Positive Affectivity, Negative Reactivity, Negative Intensity and Positive Intensity or Serenity. However, little data exist to show whether its four factors relate to other measures differently enough to preclude use of the total scale score. The present study replicated the four-factor solution and found that subscales derived from the four factors correlated differently with criterion variables that assess personality domains, affective dispositions, and cognitive patterns that are associated with emotional reactions. The results show that use of the total AIM score can obscure relationships between specific features of affect intensity and other variables and suggest that researchers should examine the individual AIM subscales.
authors.affiliation: Department of Psychology and Neuroscience, Duke University, Durham, NC 27708-0086, USA. david.rubin@duke.edu
authors.forename: David C
authors.initials: DC
authors.lastname: Rubin
authors.forename: Rick H
authors.initials: RH
authors.lastname: Hoyle
authors.forename: Mark R
authors.initials: MR
authors.lastname: Leary
mesh_terms: D000339:Affect; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D007206:Individuality; D008297:Male; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011569:Psychiatric Status Rating Scales / Q000706:statistics & numerical data; D011581:Psychological Tests / Q000706:statistics & numerical data*