2016
DOI: 10.1016/j.visres.2016.02.002
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Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

Abstract: The psychometric function describes how an experimental variable, such as stimulus strength, influences the behaviour of an observer. Estimation of psychometric functions from experimental data plays a central role in fields such as psychophysics, experimental psychology and in the behavioural neurosciences. Experimental data may exhibit substantial overdispersion, which may result from non-stationarity in the behaviour of observers. Here we extend the standard binomial model which is typically used for psycho… Show more

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Cited by 329 publications
(298 citation statements)
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“…2 for illustration). 31 The guess rate was fixed to the 50% chance level performance for a 2AFC task and the lapse rate was allowed to vary between 0% and 10%. The reaction times were analyzed in relation to the chronometric response functions obtained in children with NV.…”
Section: Discussionmentioning
confidence: 99%
“…2 for illustration). 31 The guess rate was fixed to the 50% chance level performance for a 2AFC task and the lapse rate was allowed to vary between 0% and 10%. The reaction times were analyzed in relation to the chronometric response functions obtained in children with NV.…”
Section: Discussionmentioning
confidence: 99%
“…The percentage of leftward skew responses as a function of skew amplitude of test stimuli was then fitted with a cumulative Gaussian using Psignifit 4.0 software (asymptotes set free but assumed to be equal) (Schutt et al, 2016). The point of subjective equality (PSE), i.e., the skew amplitude at 50 percent of leftward responses indicated the skew amplitude that was perceived as undistorted.…”
Section: Methodsmentioning
confidence: 99%
“…We then fit the data for each psychometric function separately using a Weibull function in July 22, 2019 the radius increment detection experiment and a logistic function in the rotation discrimination experiment (both parametrized as in [50]). Psychometric functions were determined using Bayesian inference, which tends to give slightly better confidence intervals [51], by directly integrating the posterior [52]. Thresholds were defined as the point at which the psychometric function reached 75% correct performance.…”
Section: Psychophysicsmentioning
confidence: 99%