Analyzing Descriptive Statistics

Analyzing Descriptive Statistics

As a practice scholar, you are searching for evidence to translate into practice. In your review of evidence, you locate a quantitative descriptive research study as possible evidence to support a practice change. You notice the sample of this study includes 200 participants and is not normally distributed. Reflect upon this scenario to address the following.

• What statistical procedure is needed to determine an effective sample size to make a reasonable conclusion? Explain your rationale.
• Reading through the study, you observe that the researcher used a chi-square analysis to analyze nominal and ordinal data. Is this the appropriate level of statistical analysis to answer the research question? Explain your rationale.
• Reading further, the researcher reports that the p-level led her to conclude that the null hypothesis was rejected. In your critique of the study, you determine that the null hypothesis is true. Do these findings impact your decision about whether to use this evidence to inform practice change? Why or why not?
• how the integrative review, meta-analysis, systematic review, and meta-synthesis differ and how they are similar.
• Why research is a critical component in solving practice problems?

Instructions:

Use an APA 7 style and a minimum of 350 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.