¾Ã¾ÃÈÈ in this course practice ethical data collection by collaboratively generating an original informed consent form and going through the IRB process. ¾Ã¾ÃÈÈ work with multiple datasets, including originally collected survey data, General Social Survey data, and student-collected state-level data on social indicators (e.g., CDC overdose death rates, BLS unemployment rates). ¾Ã¾ÃÈÈ use these datasets to gain experience with descriptive statistics, bivariate analysis (ANOVA, Chi-square tests), and multivariate analysis (OLS regression, logistic regression). ¾Ã¾ÃÈÈ identify appropriate statistical tests given the variables’ levels of measurement, and explain why particular analytic strategies are inappropriate. ¾Ã¾ÃÈÈ also export data from Qualtrics into SPSS, whereupon they transform the data for analysis. This entails reverse-coding, recoding to collapse categories, and scale construction following analyses of internal reliability. Achieves technology student learning outcomes a and e.

Approved for Data Intensive Course Designation starting Spring 2024.