– Observe residential patterns and variation at different scales in an urban setting_x000D_
– Analyze how patterns by race/ethnicity and income are related_x000D_
– Learn where and how to access ACS data_x000D_
– Create and read frequency and bivariate tables_x000D_
– Create and analyze maps_x000D_
– Quantitative reasoning and writing
This data analysis module was created for use in an upper-level undergraduate urban sociology course. The exercise is presented as part of a unit on racial and economic residential segregation to understand the relationship between the two, and broad patterns across an urban context. It is an introduction to data analysis, so students do not need to have a statistics or methods prerequisite.
To gauge student learning, a brief questionnaire should be given before and after the module to assess student skills and competencies.
This module uses Social Explorer to teach students how to read tables and analyze spatial patterns on maps. Thus, access to Social Explorer is necessary to assign this module. It might be helpful to guide students on setting up their Social Explorer account.