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For this assessment, you will develop an 8–14 slide PowerPoint presentation with thorough speaker's notes designed for a hypothetical in-service session related to the improvement plan you developed in Assessment 2.

(BUY) NR716 Week 6 Discussion: Using Non-Parametric Statistical Tests

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NR716 Week 6 Discussion: 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.

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NR716 Week 6 Discussion: 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.

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

    • Answer

    In this quasi-experimental research study, they applied Pearson’s R correlation. However, this choice is not appropriate due to the small sample size and the non-normal distribution of the data.  Using Pearson’s r in this context would have been unsuitable as it assumes a normal distribution and is more reliable with larger sample sizes.

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