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Title: Elite athletes refine their internal clocks: A Bayesian analysis
Authors: 陳尹華
Chen, Yin Hua
Verdinelli, Isabella
Cesari, Paola
Contributors: 心智、大腦與學習研究中心
Keywords: athlete;Bayes theorem;case report;controlled study;human;statistical analysis;study design;time perception;athlete;circadian rhythm;physiology;psychology;time perception;Athletes;Bayes Theorem;Circadian Rhythm;Humans;Time Perception
Date: 2016-07
Issue Date: 2017-08-31 11:24:14 (UTC+8)
Abstract: This paper carries out a full Bayesian analysis for a data set examined in Chen & Cesari (2015). These data were collected for assessing people's ability in evaluating short intervals of time. Chen & Cesari (2015) showed evidence of the existence of two independent internal clocks for evaluating time intervals below and above the second. We reexamine here, the same question by performing a complete statistical Bayesian analysis of the data. The Bayesian approach can be used to analyze these data thanks to the specific trial design. Data were obtained from evaluation of time ranges from two groups of individuals. More specifically, information gathered from a nontrained group (considered as baseline) allowed us to build a prior distribution for the parameter(s) of interest, and data from the trained group determined the likelihood function. This paper's main goals are (i) showing how the Bayesian inferential method can be used in statistical analyses and (ii) showing that the Bayesian methodology gives additional support to the findings presented in Chen & Cesari (2015) regarding the existence of two internal clocks in assessing duration of time intervals.
Relation: Motor Control, 20(3), 255-265
Data Type: article
DOI 連結:
Appears in Collections:[心智‧大腦與學習研究中心 ] 期刊論文

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