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Research Article Open access CC BY 4.0

An Opinion Regarding Equivalence Testing for Evaluating Measurement Agreement

Manolis Adamakis

Journal of Scientific Research and Reports · pp. 1–4 · Published 13 Sep 2019

10.9734/jsrr/2019/v24i530163

Abstract

The novel statistical approach ‘equivalence testing’ has been proposed in order to statistically examine agreement between different physical activity measures. By using this method, researchers argued that it is possible to determine whether a method is significantly equivalent to another method. Recently, equivalence testing was supported with the use of 90% confidence interval, obtained from a mixed ANOVA, which I believe is a more robust approach. This paper further discusses the use of this method in comparison to a more well-established statistical analysis (i.e. mixed design ANOVA), as well as various limitations and arbitrary assumptions in order to perform this analysis. The paper concludes with some remarks and considerations for future use in similar approaches.

Mixed design ANOVA p-value confidence interval; methods’ comparison.

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