Bachelor of Arts (Honours and Four-year) - Advanced Social Data Analysis

SOCI 4127  Advanced Social Data Analysis

Prerequisites:

SOCI 2126, SOCI 2127, and any 30 credits completed, or permission of the instructor.

Antirequisites:

SOCI 3005, PSYC 3257, PSYC 4257

Hours:

Two hours of lecture and one hour of lab per week for one term.

Credits:

3

Description:

Students develop skills in analyzing, interpreting, and communicating results from survey data and large data sets. Students train for entry-level positions in careers that involve managing and analyzing quantitative data by statistical software (e.g., SPSS and Stata), or to pursue a graduate degree. Specific topics include multivariate linear and logistic regression analysis, path analysis, factor analysis, analysis of variance, and event-history analysis.