![]() ![]() ![]() (2017) utilized Spearman correlation, checking for the strength of the association between ordinal variables in their quantitative meta-analysis and cluster-randomized controlled trial. Quantitative studies applied substantially different statistical tests that proved to be effective in interpreting the obtained data. (2016) chose to use Wilcoxon rank-sum test, since he investigated the differences between two independent variables in their qualitative explanatory study. ![]() Unlike the aforementioned researchers, Hill et al. Both teams choose this approach, considering the direction and magnitude of influence of the factors that could not otherwise be interpreted quantitatively. Meyer, Dow, Hill, Tinney, and Hill (2016) apply the same type of statistical test in their qualitative phenomenological study. In their qualitative systematic literature review, Finnegan, Bruce, and Seers (2019) use Wilcoxon sign-rank test to test for the differences between two related variables. Systematic tests lay at the core of health-related research with methods differing to a great extent depending on the nature of the study. ![]()
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