Sökning: WFRF:(Patching J) >
Separating predicti...
Separating predictive responses from reactive responses in isochronous finger tapping using Bayesian hierarchical modeling
-
- Bååth, Rasmus (författare)
- Lund University,Lunds universitet,Kognitionsvetenskap,Filosofiska institutionen,Institutioner,Humanistiska och teologiska fakulteterna,Cognitive Science,Department of Philosophy,Departments,Joint Faculties of Humanities and Theology
-
- Patching, Geoffrey (författare)
- Lund University,Lunds universitet,Institutionen för psykologi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Department of Psychology,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
-
Wackermann, J. (redaktör/utgivare)
-
visa fler...
-
Wittman, M. (redaktör/utgivare)
-
Skrandies, W. (redaktör/utgivare)
-
visa färre...
-
(creator_code:org_t)
- 2013
- 2013
- Engelska 1 s.
-
Ingår i: Proceedings of the 29th Annual Meeting of the International Society for Psychophysics. ; 29, s. 72-72
- Relaterad länk:
-
https://lup.lub.lu.s...
Abstract
Ämnesord
Stäng
- Finger tapping to isochronous pacing stimuli is a well established experimental paradigm first described in the late 19th century. Two variables of common interest in rhythmic tapping tasks are timing variability and constant error. However, a difficulty when estimating these variables is that at interstimulus intervals longer than 2 seconds participants regularly overshoot the target interval and instead react to the pacing stimulus. These reactive responses result in a left skewed, non-normal response distribution, which can lead to underestimation of both the constant error and timing variability when using classical moment estimators such as the sample mean and standard deviation. A Bayesian hierarchical model is presented that models the timing responses as coming from a right censored normal distribution. Comparing this model with classical estimators using both simulated and experimental data shows that the Bayesian model measures timing variability and constant error more accurately and with less bias.
Ämnesord
- SAMHÄLLSVETENSKAP -- Psykologi (hsv//swe)
- SOCIAL SCIENCES -- Psychology (hsv//eng)
- HUMANIORA -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
- HUMANITIES -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Isochronous Finger Tapping
- Bayesian Modelling
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)