Parametric Statistics

Analyzing Parametric Statistics

As a practicing scholar, you are searching for evidence to translate into practice. In your review of the 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 the correlation between study variables. The study sample size is large and normally distributed. Reflect upon this scenario to address the following.

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•    In your appraisal of the evidence, you note that an independent variable is not present and that a Spearman’s ranked 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? For more information on Parametric Statistics check on this: https://en.wikipedia.org/wiki/Parametric_statistics

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