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Category

Methods / Statistics

Document Type

Paper

Abstract

Although both discrete (0D) and continuous (1D) analysis are used, the differences in results between both analyses in repeated measures designs are unclear. Therefore, the purpose of this study was to compare the results of a discrete and continuous analysis on the same dataset. Data of an intervention study regarding sidestep cutting with two groups and three sessions of measurements were used. Analyses of mean and peak values (0D) and timeseries (1D) revealed contradictory results for some variables. More interestingly, the direction of the results was different sometimes. This substantiates the impact that an analysis method can have on data interpretation and warrants caution in drawing conclusions. Researchers are encouraged to ensure that their analysis method is appropriate to answer their research question and a priori hypothesis.

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