Editing Structure of a quantitative empirical research paper (section)

=== Research Design ===

This section should present details of how you carried out your study. Usually, it will includes subsections that touch on each of the following items (although not every item needs it's own subsection, it's fine if they have them):

;Empirical Setting: Use this section to describe the site of your research in detail and provide any important context.
;Research Ethics: Describe any ethical issues related to this work. For example, this is a place to describe the process through which you got IRB approval to carry out your research. If your work does not require IRB approval, say this and explain how your work minimizes risks to the human subjects whose data is captured in your dataset.
;Procedures: Describe the process that you used to collect your data. Detail choices you made along the way that include or excluded any data. This doesn't need to be a diary of everything you tried but it ''should'' be comprehensive enough for someone to reproduce your dataset given access to the same material and setting that you had.
;Sample: Describe your sample. This will include the number of observations in your sample but also any other details or summary statistics that help us understand the nature of the sample you have collected. 
;Measures: Describe every variable you included in your analysis and model and describe how it was constructed and/or coded. It usually makes sense to start with dependent variables, then focus on question predictors, and finally talk about control variables. Often it makes sense to use a table to organize this information. This section must establish your ''variable names'', your ''variable definitions'', and your ''value codings''. This is an appropriate place to include your tables of univariate and bivariate statistics for all of the variables in your model. 
;Analytic Plan: The analytic plan should detail all the of the analyses that you performed. You should mention what type of model you used and you should explain why you believe it is the appropriate method. Typically, this includes specifying the regression model that you've used. You should include the regression equation (e.g. <math>\widehat{\mathrm{your~DV}} = \beta_0 + \beta_1\mathrm{your~IV} + \varepsilon</math>).