Information processing style and decision making
Bibliographic Data
| ID | 12166892 |
|---|---|
| Authors | Nancy H Leonard (University of Evansville, corresponding author), Richard W Scholl (University of Rhode Island), Kellyann Berube Kowalski (University of Rhode Island) |
| Year | 1999 |
| Volume | 20 |
| Issue | 3 |
| Pages | 407-420 |
| Publication date | 1999-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Organizational Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0894-3796 • E-ISSN: 1099-1379 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/(sici)1099-1379(199905)20:3<407::aid-job891>3.3.co;2-v |
| OpenAlex | W4256086007 |
| Language | EN |
| References cited | 2 |
Information processing style, often termed cognitive style, has gained prominence in the organizational behavior literature as researchers use it as a basis for studying decision making behavior, conflict, strategy development, and group processes. However, the many operational definitions and measures of cognitive style have produced inconsistent and confusing results. This study tested the interrelationship among four measures of this construct: the Myers–Briggs Type Indicator, the Group Embedded Figures Test, the Learning Styles Inventory, and the Decision Style Inventory. Measures that appeared to be conceptually linked through their underlying theories were compared. Results indicate that the various measures are not strongly interrelated and appear to be measuring different aspects of information processing and decision making. Copyright © 1999 John Wiley & Sons, Ltd
Cognition · Cognitive psychology · Cognitive style · Construct (python library · Group Decision Making · Information processing · Information processing theory · Style (visual arts · Test (biology · Computer Science · Creativity in Education and Neuroscience · Emotional Intelligence and Performance · Learning Styles and Cognitive Differences · Psychology · Social Psychology
| Highly cited | No |
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