Title |
The effect of noise-induced variance on parameter recovery from reaction times
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Published in |
BMC Bioinformatics, March 2016
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DOI | 10.1186/s12859-016-0993-x |
Pubmed ID | |
Authors |
Miguel A. Vadillo, Pablo Garaizar |
Abstract |
Technical noise can compromise the precision and accuracy of the reaction times collected in psychological experiments, especially in the case of Internet-based studies. Although this noise seems to have only a small impact on traditional statistical analyses, its effects on model fit to reaction-time distributions remains unexplored. Across four simulations we study the impact of technical noise on parameter recovery from data generated from an ex-Gaussian distribution and from a Ratcliff Diffusion Model. Our results suggest that the impact of noise-induced variance tends to be limited to specific parameters and conditions. Although we encourage researchers to adopt all measures to reduce the impact of noise on reaction-time experiments, we conclude that the typical amount of noise-induced variance found in these experiments does not pose substantial problems for statistical analyses based on model fitting. |
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Belgium | 1 | 14% |
Spain | 1 | 14% |
Italy | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
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Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 6% |
Unknown | 17 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 33% |
Lecturer | 2 | 11% |
Researcher | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Student > Doctoral Student | 1 | 6% |
Other | 4 | 22% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
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Psychology | 5 | 28% |
Neuroscience | 3 | 17% |
Computer Science | 3 | 17% |
Agricultural and Biological Sciences | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Other | 1 | 6% |
Unknown | 4 | 22% |