ABSTRACT
Most research in biomechanics involves the analysis of time-series data. In performing this analysis, several sequential and linked stages of proposing, conducting, analysing and reporting of research need to be performed (Mullineaux et al., 2001). A key issue within each of these stages can be proposed. Firstly, the research question must be worthy, ethical and realistic. The research question should be used to try to outline how to propose, support or improve a theory. Secondly, the research design must be valid and use the best available methods. Thirdly, the data analysis must be accurate and meaningful. Lastly, the research must be interpreted and reported effectively. In planning a study, attention is often devoted to assessing statistical power. Power is affected by the research design, which in turn influences the accuracy of the statistical data produced. The aim of this chapter is to highlight factors affecting power, both through the research design and implementation of data transformations, while focusing on methods to explore and analyse time-series data.
