PREDICTING DECISION MAKING BEHAVIOR FROM PERSONALITY AND COGNITIVE VARIABLES
Abstract
In an attempt to write multiple regression equations predicting decision making behavior from personality and cognitive variables, a pilot study and a main study were conducted. Unselected, undergraduate college males and females from two separate universities served as subjects. Predictor groups of variables for each of 13 categories of decision making criteria were hypothesized. The results indicated that seven of the multiple regression equations through their beta coefficients yielded multiple correlation coefficients significant at P<.01, three at P<.05 and three at P>.05. All of the multiple correlations related to the prediction of 'goodness' of decision were significant beyond the .01 level. The least profitable predictions resulted from attempts to predict decision time. Predictions of confidence in decision were intermediate. The largest amount of criterion variance accounted for was 16 percent. Low multiple correlation coefficients were expected due to the restricted range of personality and cognitive scores in persons normal in personality and above average in intelligence. Similar research in which normal individuals would be subjected to stress to reveal underlying personality differences is indicated.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1964
- Accession Number
- AD0610521
Entities
People
- John C. Townsend
- Walter J. Smith
Organizations
- The Catholic University of America