By nakayama - 1/17/2016
Hi Inquisit community, First of all, I want to thank Inquisit for providing a script regrading temporal discrimination task. May I ask a question about this script here? I noticed this script provides an efficient way to measure the 75% threshold for detecting temporal differences between tones. How can I change the syntax so as to measure the 25% threshold also? Best,
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By Dave - 1/17/2016
The script has a <values> entry that allows you to set the desired threshold
*************************************************************************************** ********************************************* Editable Values ********************************************* *************************************************************************************** ... /probability_p: target threshold probability (default: 0.75) ... <values> ... /probability_p = 0.75 ... </values>
Set it to 0.25 to change the target threshold to 25%.
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By nakayama - 1/17/2016
Hi Dave, Thank you for your reply. May I ask another question?how can I set p to calculate the differential threshold known as just notice difference?If I set p=0.25, it will measure the value up to which the comparison increase when making the correct response(comparison is perceived to be longer than the standard) 25% the time. And when i set standard=1000ms, the 25% threshold is about 1036ms. Does this 25% threshold measure lower threshold through which the differential threshold is usually calculated as (upper threshold-lower threshold)/2? Best, Nakayama
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By Dave - 1/18/2016
#1: Your questions primarily seem to be concerned with the properties of the (A)SA procedure. For that see e.g. http://www.researchgate.net/profile/Francesco_Pavani/publication/6278477_Small-sample_characterization_of_stochastic_approximation_staircases_in_forced-choice_adaptive_threshold_estimation/links/0deec528bdbf5526e9000000.pdf
#2: Since "just noticeable difference" (JND) is usually taken to indicate the amount something must be changed in order for a difference to be detectable at least half the time, the closest analogue within the (A)SA framework used by this procedure would be 0.50, I believe.
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