In the present study the software of motor performance assessment in pursuit tasks is presented with ability to calculate root mean square error as an important measure of errors to evaluate motor performance. Based on this research desired indices, the computer software was designed and developed using MATLAB, C++, C programming languages. To determine construct validity, the correlation coefficient between manual results and automatic calculated results was assessed which was equal to 1 correlation. Furthermore, subjects were asked to follow the circle, square and triangle paths of rotary pursuit device which resulted in 0/83 correlation. This software having multiple applications, benefits from the advantage to be easily used by researchers and users with different levels and has a very accurate output.
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Aghdasi, M. T. and Vazini Taher, A. (2018). Designing, Development and Psychometrics of Software for Assessment of Motor Performance in Pursuit Tasks. Sport Psychology Studies, 7(25), 49-62. doi: 10.22089/spsyj.2018.4713.1504
MLA
Aghdasi, M. T. , and Vazini Taher, A. . "Designing, Development and Psychometrics of Software for Assessment of Motor Performance in Pursuit Tasks", Sport Psychology Studies, 7, 25, 2018, 49-62. doi: 10.22089/spsyj.2018.4713.1504
HARVARD
Aghdasi, M. T., Vazini Taher, A. (2018). 'Designing, Development and Psychometrics of Software for Assessment of Motor Performance in Pursuit Tasks', Sport Psychology Studies, 7(25), pp. 49-62. doi: 10.22089/spsyj.2018.4713.1504
CHICAGO
M. T. Aghdasi and A. Vazini Taher, "Designing, Development and Psychometrics of Software for Assessment of Motor Performance in Pursuit Tasks," Sport Psychology Studies, 7 25 (2018): 49-62, doi: 10.22089/spsyj.2018.4713.1504
VANCOUVER
Aghdasi, M. T., Vazini Taher, A. Designing, Development and Psychometrics of Software for Assessment of Motor Performance in Pursuit Tasks. Sport Psychology Studies, 2018; 7(25): 49-62. doi: 10.22089/spsyj.2018.4713.1504
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