Differential predictability of four dimensions of affect intensity.

Rubin, David C

Hoyle, Rick H

Leary, Mark R

England

2015-05-12T14:33:06Z

2012

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.

http://www.ncbi.nlm.nih.gov/pubmed/21707262

1464-0600

https://hdl.handle.net/10161/9770

eng

Informa UK Limited

Cogn Emot

10.1080/02699931.2011.561564

Affect

Factor Analysis, Statistical

Female

Humans

Individuality

Male

Personality Inventory

Psychiatric Status Rating Scales

Psychological Tests

Differential predictability of four dimensions of affect intensity.

Journal article

Hoyle, Rick H|0000-0003-0900-2814

http://www.ncbi.nlm.nih.gov/pubmed/21707262

25

41

1

Center for Child and Family Policy

Duke

Duke Institute for Brain Sciences

Institutes and Provost's Academic Units

Psychology and Neuroscience

Sanford School of Public Policy

Trinity College of Arts & Sciences

University Institutes and Centers

Published

26