Analyzing Parametric Statistics
Analyzing Parametric Statistics
As a practice 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.
- 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?
Generalizing the Findings
Generalization extends the implications of the study findings from the sample studied to a larger population. For example, if the study was conducted on diabetic patients, it may be possible to translate the findings to persons with other practice problems or to healthy people.
What factors you need to analyze to generalize a research result?
Instructions:
Use an APA 7 style and a minimum of 250 words. Provide support from a minimum of at least three (3) scholarly sources. The scholarly source needs to be: 1) evidence-based, 2) scholarly in nature, 3) Sources should be no more than five years old (published within the last 5 years), and 4) an in-text citation. citations and references are included when information is summarized/synthesized and/or direct quotes are used, in which APA style standards apply.
• Textbooks are not considered scholarly sources.
• Wikipedia, Wikis, .com website or blogs should not be used.