Although both the objectivity and reliability are acceptable, the results showed that measurement error was very high in the mechanical goniometer. Therefore, it can be concluded that objectivity and reliability alone cannot determine the accuracy of a device and it is preferable to use other statistical methods to compare and evaluate the accuracy of these two devices.
The purpose of this study was to determine the validity and reliability of the Persian version of the Vividness of the Movement Imagery Questionnaire 2 (VMIQ-2). In the fi rst stage validity and reliability and in the second stage concurrent validity questionnaire VMIQ-2 by a Persian version of the Movement Imagery Questionnaire revised was evaluated. In the fi rst stage of this study, 125 male and 96 female athletes of different levels of competition and in the second stage, 20 male and 30 female athletes from the two levels of competitive and non-competitive sports were studied. For the main component analysis, factor analysis and to confi rm the structure of the questionnaire varimax rotation was used. The Kronbakh α applied for measuring the reliability between subscales and the correlation method was used for determining the relationship between subscales, structure determination of validity and also to determine the validity of two simultaneous questionnaires MIQ-R and VMIQ-2. The results showed that about 47% of the questions related to the variance VMIQ were covered. Values of α coeffi cients for subscales of visual external and internal imagery, kinesthetic imagery and total scale, was respectively r=0. 86, r=0.89, r=0.91 and r=0.95, that suggests the existence of a high reliability in the subscales and overall scale vividness of movement imagery. Regarding its validity, the results showed that this questionnaire has concurrent validity (−0.70) and acceptable convergent validity of the construction between its subscales (p<0.001). It can be concluded that the Persian version of VMIQ-2 has the suitable validity and reliability.on 30 April 2019 by guest. Protected by copyright.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.