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Analysis of response time distributions: an example using the stroop task
Citation
Heathcote, A and Popiel, SJ and Mewhort, DJK, Analysis of response time distributions: an example using the stroop task, Psychological Bulletin, 109, (2) pp. 340-347. ISSN 0033-2909 (1991) [Refereed Article]
DOI: doi:10.1037/0033-2909.109.2.340
Abstract
The shape of a response time (RT) distribution can be described by a 3-parameter model consisting of the convolution of the normal and exponential distributions, the ex-Gaussian. Analyses based on mean RT do not take the distribution's shape into account and, for that reason may obscure aspects of performance. To illustrate the point, the ex-Gaussian mode) was applied to data obtained, from a Stroop task. Mean RT revealed strong interference but no facilitation, whereas the analysis based on the ex-Gaussian model showed bath interference and facilitation. In short, analyses that do not take the shape of RT distributions into account can mislead and, therefore, should be avoided.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Research Division: | Psychology and Cognitive Sciences |
| Research Group: | Cognitive Sciences |
| Research Field: | Decision Making |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding Knowledge |
| Objective Field: | Expanding Knowledge in Psychology and Cognitive Sciences |
| UTAS Author: | Heathcote, A (Professor Andrew Heathcote) |
| ID Code: | 99775 |
| Year Published: | 1991 |
| Web of Science® Times Cited: | 274 |
| Deposited By: | Medicine |
| Deposited On: | 2015-04-09 |
| Last Modified: | 2015-05-11 |
| Downloads: | 0 |
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