How to described Data Analysis and Interpretation

SPT 501 Module Seven Short Paper Guidelines and Rubric (Data Analysis and Interpretation)

An important aspect of a research study is the ability to analyze data and then describe the statistics derived from that data in a form that is easy to understand and interpret. For quantitative data, this can include representing the data visually through tables, diagrams, and graphs. Review the quantitative descriptive statistic examples in the Sport Involvement article. Next, in a two- to three-page paper, briefly describe how presenting statistical data in a meaningful way can be useful in relaying sports related research. Provide examples from the article and at least two other examples from other sources. In addition, review critical element IV: Data Analysis Method of the Final Project Guidelines and Rubric document. Now that you have some understanding of both qualitative and quantitative data collection and analysis, describe in your paper what you might consider the most effective method(s) for analyzing and presenting data to support your final project research question. Provide specific examples of what type of analysis methods you would use and explain why they are appropriate for your research problem. What are some ways to present the results most effectively? Specifically, the following critical elements must be addressed:

I. Describe how presenting statistical data in a meaningful way can be useful in relaying sports related research. Provide examples from the article and at least two other examples from other resources.

II. Describe the most effective method(s) for analyzing and presenting data to support your final project research question. Provide specific examples of what type of analysis methods you would use and explain why they are appropriate for your research problem.

Guidelines for Submission: Your paper must be submitted as a 2–3-page Microsoft Word document with double spacing, 12-point Times New Roman font, one- inch margins, and discipline-appropriate citations in APA format.

Critical Elements Proficient (100%) Needs Improvement (75%) Not Evident (0%) Value

Presenting Statistical Data

Describes how presenting statistical data in a meaningful way is useful and provides various examples

Describes how presenting statistical data in a meaningful way is useful but lacks detail of explanation and/or examples

Does provide description 40

Effective Data Analysis Methods

Describes effective data analysis methods to be used to support final project research question with specific examples and relevancy to research problem

Describes data analysis methods to be used to support final project research question but methods lack examples or relevancy

Does not provide description 40

Articulation of Response

Submission has no major errors related to citations, grammar, spelling, syntax, or organization

Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas

Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas

20

Total 100%