2016
Vadillo, Miguel A.; Garaizar, Pablo
The effect of noise-induced variance on parameter recovery from reaction times Journal Article
In: BMC Bioinformatics, vol. 31, no. 17, pp. 147, 2016.
Abstract | Links | BibTeX | Tags: ex-Gaussian distribution, Internet-based experiments, Model fitting, Psychological experiments, Ratcliff Diffusion Model, Reaction times
@article{Vadillo2016,
title = {The effect of noise-induced variance on parameter recovery from reaction times},
author = {Miguel A. Vadillo and Pablo Garaizar},
url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-0993-x
https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-0993-x?site=bmcbioinformatics.biomedcentral.com
http://paginaspersonales.deusto.es/garaizar/papers/BMC2016-MAV-PG.pdf},
doi = {10.1186/s12859-016-0993-x},
year = {2016},
date = {2016-03-31},
journal = {BMC Bioinformatics},
volume = {31},
number = {17},
pages = {147},
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.},
keywords = {ex-Gaussian distribution, Internet-based experiments, Model fitting, Psychological experiments, Ratcliff Diffusion Model, Reaction times},
pubstate = {published},
tppubtype = {article}
}
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.