Examine and explore the “data.xlsx” file and the associated data dictionary (“Data Dictionar.xlsx”).

Requirements

• Your analysis should include descriptive statistics for all variables included in your analysis, bivariate tests between all explanatory variables and the outcome of interest, and a multivariable model that tests your primary research question while also controlling for confounders.
  • Note: You might be conducting an “explanatory model” rather than a confounding model. Explanatory models are usually used to understand the variables associated with a single outcome rather than test whether a specific variable is associated with the outcome.
  • Your R code should be extremely well documented (i.e., lots of comments to explain what each line and section are for)
  • Your variables should be appropriately recoded.
  • Your code should be free from error.
  • Your results should be properly interpreted.
    • Note: Make sure that you look up how to interpret the results from your analysis.

Requirements

• 12-pt
• Double spaced
• Approximately 15 pages including title page, abstract, body of text, references, tables, and figures.
• Use IMRaD format (Introduction, Methods, Results, and Discussion)
• Results should, at minimum, provide
  • 1 table providing descriptive statics for each variable included in your analysis.
  • 1 table providing bivariate significance tests.
  • 1 table providing a multivariable model.
  • 1 figure that highlights an important component of your analysis.
  • Use Vancouver Stylereferences and in-text citations.
    • You should cite at least 5-10 external references from academic and governmental sources. More citations may be needed to contextualize your study and results as all claims should be well-supported.