Analysis of response time distributions
An example using the Stroop task
Bibliographic Data
| ID | 7983017 |
|---|---|
| Authors | Andrew Heathcote (0000-0003-4324-5537, Northwestern University), Stephen J Popiel, D J Mewhort, D J K Mewhort |
| Year | 1991 |
| Volume | 109 |
| Issue | 2 |
| Pages | 340-347 |
| Publication date | 1991-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.109.2.340 |
| OpenAlex | W2086295830 |
| Language | EN |
| Citations received | 41 |
| References cited | 5 |
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
Audiology · Cognition · Cognitive psychology · Stroop effect · Task (project management) · Diverse Scientific and Engineering Research · Engineering · Gaussian Processes and Bayesian Inference · Medicine · Neuroscience · Psychology · Scientific Research and Discoveries
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| Unique citing works | 41 |
|---|---|
| Citations per year | 1,24 |
| Citation span | 1993 - 2026 (34) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 34 |