Instructions

Using Non-Parametric Statistical Tests.   As a practice scholar, you are searching for evidence to translate into practice. In your review of evidence, you locate a quasi-experimental research study as possible evidence to support a practice change. You notice that the study aims to make a prediction that relates to correlation between study variables. The study sample size is small and is not normally distributed. Reflect upon this scenario to address the following. More

• In your appraisal of the evidence, you note that a Pearson’s r correlation is used to analyze data. Is this the correct level of correlational analysis? Explain your rationale.
• Are association and correlational analysis equivalent in determining relationships between variables?
• Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?

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Answer Guide:Using Non-Parametric Statistical Tests. 

In your appraisal of the evidence, you note that a Pearson’s r correlation is used to analyze data. Is this the correct level of correlational analysis? Explain your rationale.

The Pearson correlation coefficient (r) is used in measuring linear correlation.   For the Pearson r correlation, both variables should be normally distributed which means data that follow a bivariate normal distribution (Schober et al., 2018). Based on the scenario provided the sample size is small and is not normally distributed hence Pearson correlation coefficient (r) is not suitable for this analysis.   In Pearson correlation coefficient (r), a linear relationship is essential hence using it in this context may lead to misleading results.Unlock the Full Solution Now – Click to Get All Answers!”  Using Non-Parametric Statistical Tests.