A new reliable performance analysis template for quantifying action variables in elite men's wheelchair basketball

22Citations
Citations of this article
115Readers
Mendeley users who have this article in their library.

Abstract

This study aimed to develop a valid and reliable performance analysis template for quantifying team action variables in elite men's wheelchair basketball. First action variables and operational definitions were identified by the authors and verified by an expert panel of wheelchair basketball coaching staff in order to establish expert validity. A total of 109 action variable were then placed into 17 agreed Categorical Predictor Variable categories. The action variables were then used to develop a computerized performance analysis template for post-event analysis. Each possession (n = 200) from an international men's wheelchair basketball game was analyzed by the first author on two occasions for assessment of intra-observer reliability and by a coach and a performance analyst for inter-observer reliability. Percentage error and Weighted Kappa coefficients were calculated to compare the levels of error and agreement for each action variable. Intra-observer reliability demonstrated perfect or almost perfect agreement ( < 1.50%) for the 109 action variables within the 17 categories. Inter-observer reliability demonstrated perfect or almost perfect agreement (< K0.974) and low percentage error values (<3.00%) for the 109 action variables within the 17 categories. The template should be used in future for obtaining valid and reliable data in elite men's wheelchair basketball.

Cite

CITATION STYLE

APA

Francis, J., Owen, A., & Peters, D. M. (2019). A new reliable performance analysis template for quantifying action variables in elite men’s wheelchair basketball. Frontiers in Psychology, 10(JAN). https://doi.org/10.3389/fpsyg.2019.00016

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free