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Identify a research topic that can be addressed using quantitative methods and one of the allowed data

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Quantitative Research Project Design, Data and Methods Assignment

Identify a research topic that can be addressed using quantitative methods and one of the allowed data 

sources (ACS, PSID, or GSS).  Then, select at least 7 variables you will include in your analysis: 1 dependent/outcome variable, 1 key independent variable, 5+ control variables, and potentially 1+ selection criteria variable 

(the variable you will need to identify the sample you want to study like rural status if you want to study 

rural residents).  Note that race/ethnicity counts as 1 variable despite the fact that you will split it into 3-

4 binary variables in the analysis. Download an extract of the data with the needed variables and write 3 

pages providing each of the items below.    

                Assessment Criteria

Research topic

State one clear, specific, detailed research question and your preliminary hypothesis.

Background information & sources:

Provide 2-4 bullet points of background that an audience member should understand about the topic 

in order to understand your research study. Each point should be backed up with a citation. Use at 

least 2 different sources for this section, where at least 1 is a peer-reviewed source. 

Data and Sample description:

Provide 1-2 paragraphs, or 4-6 bullet points, describing the data source and the sample you are 

studying (e.g. rural residents, middle-aged adults). Make sure to state how many observations will be 

analyzed in your study.

Table of Descriptive Statistics: 

Provide a mean, standard deviation, minimum, and maximum for all measures that will be included in 

your analysis.  Make sure the table can be understood without reading any text (complete labels, units 

(e.g. percent, years, miles, etc.)).  Format the table so that it is professional looking (e.g., same number 

of digits after the decimal point).

Description of key variables: 

Provide 2-3 paragraphs, or 7+ bullet points, describing each of your variables.  Make it clear whether 

the variables are continuous, binary, or ordered categorical.  Describe how you transformed any 

variables (e.g., created 4 binary variables from an unordered categorical variable). Provide the 

question wording or detailed description of what the variable includes if it is not obvious (e.g., how is 

closeness with parent measured? wealth including home equity or not?).  Then, provide some brief 

text interpreting the table of descriptive statistics (focus on the means).

Methods description

Provide a regression equation with text explaining the components of the equation.  Explain how your 

regression tests your hypothesis.  State that you will be employing ordinary least squares.

Stata log file: 

Your log file should include your Stata commands and the output that Stata provides in response to 

each command.  All figures in your table should be shown in the log file

 

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