Conventional and actuarial methods to detect response distortion on the basic personality inventory
Helmes, Edward (2009) Conventional and actuarial methods to detect response distortion on the basic personality inventory. Canadian Journal of Behavioural Science, 41 (3). pp. 121-132.
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DOI: 10.1037/a0015589
View at Publisher Website: http://dx.doi.org/10.1037/a0015589
Abstract
Response distortion remains a significant issue in the assessment of psychopathology. Here four groups of psychiatric patients, each of 40 people, were asked to respond honestly or to distort their presentation as either worse, better, or a "normal" pattern of responses to the Basic Personality Inventory (BPI; Jackson, 1989); only those cases showing acceptable consistency in responding ("person reliability") were analysed. Performance of the conventional cutting points on the BPI validity scales were compared with results from linear discriminant analysis calculated for the patients and from those variables selected previously for university students by Helmes and Holden (1986). Preliminary analyses showed that the "good" and "normal" groups could not be separated; the normal group was therefore not included in subsequent analyses. Results showed better classification results for discriminant functions than for the use of the standard BPI validity measures. Contrary to findings using multiple regression, heuristic weights were the least accurate. Implications for applications of the BPI involving suspected response distortion are discussed, along with the unexpected finding of poor performance of heuristic classification functions.
| ID Code: | 7925 |
|---|---|
| Item Type: | Article (Refereed Research - C1) |
| Keywords: | personality, faking good, faking bad, psychopathology, response distortion, faking |
| FoR Codes: | 17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170109 Personality, Abilities and Assessment @ 100% |
| SEO Codes: | 97 EXPANDING KNOWLEDGE > 970117 Expanding Knowledge in Psychology and Cognitive Sciences @ 100% |
| Deposited On: | 18 Jan 2010 09:23 |
| Last Modified: | 22 May 2013 01:03 |
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