Quantitative Data Analysis

In this course you will learn to develop and implement a quantitative data analysis plan and to interpret the output of quantitative analyses using datasets from actual evaluation studies. The early phase of the course will focus on essential pre-analytic tasks often overlooked in the research training process. These include identifying and resolving dirty data including logical inconsistencies and conducting simple and complex data transformations. The second half of the course focuses on conducting bivariate and multivariable statistical tests. This is an applied course, emphasizing skill-building through hands-on work using R in each class session. Reflecting the focus on skill-building, this course includes weekly homework using R.