Analyzing Parametric Statistics

I’m trying to study for my Statistics course and I need some help to understand this question.

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 large and normally distributed. Reflect upon this scenario to address the following.

  • 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?

I need at least one peer-review reference from the last 5 years.

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