Abolfazl Shayan; Davood Homeniyan; Hossein AbediniParizi; Jamal Fazel Kalkhoran
Abstract
The aim of this study was to determine the interactional effects of various video
shows (skilled and self-model) and feedback type on performance and learning of
dart throwing skill. 90 volunteers were randomly divided into 6 groups including
self-control, experimenter control and yoked feedback that ...
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The aim of this study was to determine the interactional effects of various video
shows (skilled and self-model) and feedback type on performance and learning of
dart throwing skill. 90 volunteers were randomly divided into 6 groups including
self-control, experimenter control and yoked feedback that received either skilled
model or self-model. Three groups who watched the skilled model observed dart
throwing by a member of dart national team at first and at rest intervals whereas
self-model groups watched their own performance as a recorded movie. Selfcontrol
groups requested feedback from the examiner during their performance.
Yoked groups received feedback in those attempts on which self-control groups
requested feedback and experimenter-control groups received feedback by
examiner. Subjects trained for six days and then participated in the retention (after
48 hours) and transfer (immediately after retention) tests. The method of the study
was semi-experimental and data were analyzed using analysis of variance with
repeated measures, two-way analysis of variance and Bonferroni and Tukey post
hoc tests. Results showed that all six groups improved from pretest to acquisition,
retention and transfer. Regardless of the role of feedback, there was no difference
between skilled and self-model in any stages. Experimenter control feedback had
more efficiency than other feedbacks in the acquisition while self-control feedback
was better in retention and transfer. Furthermore, results showed that those
subjects who received self-control feedback had more learning when they observed
self-model. The main reason why self-model-self-control feedback group was better
than other groups could be the effect of motivational processes resulted from this
interaction and more coordination of this feedback with subjects’ demands.
Mehdi Shahbazi; Ali Pashabadi; Hossein Abedini Parizi
Volume 3, Issue 2 , October 2012, , Pages 65-80
Abstract
Reaction time (RT) is one of the psychomotor skills that determine athletes’ results and also in daily life. RT effective factors are divided into inherent (genetic) and environmental. Among those factors, psychological factors and mental abilities are more important due to the cognitive nature of ...
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Reaction time (RT) is one of the psychomotor skills that determine athletes’ results and also in daily life. RT effective factors are divided into inherent (genetic) and environmental. Among those factors, psychological factors and mental abilities are more important due to the cognitive nature of RT. The aim of this research was to study the relationship between RT, anxiety and IQ of athletes in different skill levels. This relationship was investigated in 85 subjects (in elite and sub elite athletes and no athletes groups) by correlation method. To measure RT, Y1000 devise was used; Spielberger state / trait anxiety inventory (STAI) was used to evaluate anxiety and Raven’s progressive matrices to evaluate IQ. One-way analysis of variance and Pearson correlation coefficient were used to analyze the data. Results showed that there was a negative significant correlation between choice RT and IQ, and between CRT and state anxiety. Findings supported inverted U hypothesis and it proved the greater influence of IQ with higher complexity of task