Instructions for Data Analysis Project (first part)
Appendix #1.
Instructions for Data Analysis Project (first part)
In this first step of your data analysis project, you are expected to submit a proposal of no more than 3 pages (double space, 12 Times New Roman, and 1 inch margins, including tables and figures). You need to include the following elements in your proposal: (1) your research question; (2) why it is of your interest; (3) your data source; and (4) a brief summary descriptive of the variables you will use in the t-test or regression or both.
[If you cannot find your own data, you can use the General Social Survey 2014 (GSS 2014.sav) dataset posted on Canvas]
Research question
State clearly your research question and explain why it is of your interest.
Describe your data sources.
Brief descriptions of data: data source (firsthand or second hand; where did you get it, if second hand), year of collection, unit of analysis, sample size, etc.
Descriptive Statistics (Creating the “Table 1”)
You will create a table that provides descriptive statistics of variables that you plan to use in your t-test/regression. In many journal articles, authors present this information as “Table I” (because it is most likely the first table presented in their papers) with table titles such as “Descriptive Statistics” or “Sample Characteristics.” For continuous variables, present means and standard deviations (sometimes, minimum and maximum are also presented). For nominal variables (dichotomous or categorical variables), present frequency percentages or proportions rather than means or standard deviations. For example, it makes no sense to calculate the mean or standard deviation of race as a nominal variable.
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