Considerations when choosing a statistical method for data analysis.

In its entirety, a research project can be a long and sometimes challenging undertaking. However, it is important to not think of the research process as a long linear process, but rather as a collection of small tasks that build on each other. Data analysis is an important step in this process; however, choosing the right statistical method to examine data can be complex. The purpose of this paper is to discuss how choosing a statistical method for data analysis can be influenced by other aspects of the research process and to highlight considerations when choosing a statistical method more generally. This is the fourth paper in a series of articles about research methods. Previous papers in this series have focused on research paradigms (Davies & Fisher, 2018), the research process (Fisher & Bloomfield, 2019), and quantitative research methods (Bloomfield & Fisher, 2019). [ABSTRACT FROM AUTHOR]