(a) State the urban topic on which you will focus your study (e.g., “education”).
(b) State the two U.S. cities that you will compare in Part I of your paper. Provide a brief justification for selecting these two cities in light of your topic.
(c) Identify which one of these cities you will focus on in Parts II and III of your paper.
(d) Write research questions for Parts I-III that express something you would like to know about this topic in an urban context, and that is answerable using quantitative data available in SimplyAnalytics.
Here are suggestions on question format:
Part I: “Is there any difference in [Topic] between [City 1] and [City 2]?”
Part II: “Is there any difference in [Topic] in [City 1] between [Year X] and [Year Y]?”
Part III: “Is there a difference in [Topic] between high- and low-income areas in [City 1]?”
(e) Identify five or six variables in SimplyAnalytics that you will analyze in order to answer your research questions for Parts I-III.
These variables should be directly about your topic. They should be descriptive of your topic, or indicators of your topic. (e.g., if your topic is “education” do not pick a variable on race. Pick variables that are obviously about education. While you may have some ideas about how race and education are related, you will not be able to statistically test for correlations in SimplyAnalytics.)
Data for all variables must be available at the city level and down to the zip code or census tract level.
You cannot use median household income as one of your five or six variables.
You must select five or six variables total, no matter the structure of each variable (e.g., one variable with five levels, such as “very likely, likely, average, unlikely, very unlikely,” counts only as one variable)