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Irrational beliefs as predictors of negative affective states
Authors:Damaris J Rohsenow  Ronald E Smith
Institution:(1) Department of Psychology, University of Wisconsin-Madison, 1202 W. Johnson Street, 53706 Madison, Wisconsin;(2) University of Washington, USA
Abstract:One effort to specify cognitive mediators related to dysfunctional emotional responses has been made by Ellis, who proposed that certain irrational beliefs elicit maladaptive emotional reactions. In order to test Ellis's hypotheses in a nonclinical sample, the Irrational Beliefs Test, two anxiety inventories, the MMPI-168, and a locus of control scale were completed by 32 male heavy social drinker undergraduates, who then kept daily records of their anxiety, anger, unhappiness, and drinking behaviors for 7 months. Four factors underlay the 10 beliefs but did not necessarily correlate with dysphoric affect. Certain irrational beliefs predicted daily unhappiness ratings over the 7-month period and daily anger ratings over 3 months, but the beliefs exhibited only a weak relationship with daily general anxiety ratings. Irrational beliefs, especially worrying about approval and competence, were strongly related to test anxiety and Spielberger's trait anxiety measure, were somewhat related to social anxiety and general anxiety, were minimally related to locus of control and social desirability, and were essentially unrelated to the MMPI-168's measures of depression and anxiety and to drinking behaviors. Although 2 of the irrational beliefs failed to exhibit relationships with negative affect, the other 8 show the predicted relationships to moods, providing support for a cognitive mediational model of maladaptive emotions in a nonpathological population.This research was partially supported by grants from the Alcoholism and Drug Abuse Institute, University of Washington, Seattle, from a National Institute of Mental Health small grant AA03947-01, and from a National Institute of Alcohol Abuse and Alcoholism postdoctoral training fellowship No. 1T32AA07171-01. We would like to thank Jean Chapman, Ph.D., for her advice on the statistics and Dorothy Knapp, Ph.D., for her painstaking scoring and coding of all the data records.
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