Description: In this course we will introduce and review basic data analysis tools and concepts commonly used in applied research and evaluation. The focus will be on fundamental concepts that are needed to guide decisions for appropriate data analyses, interpretations, and presentations.
The goal of the course is to help participants avoid errors and improve skills as data analysts, communicators of statistical findings, and consumers of data analyses. Examples will include applications of basic distributions and statistical tests (e.g., z, t, chi-square, correlation, regression).
Recommended Audience: The goal of the course is to help participants avoid errors and improve skills as data analysts, communicators of statistical findings, and consumers of data analyses. This course is especially suited for entry-level evaluators looking to develop their expertise with the foundational logic and methods of data analysis. Mid-level professionals seeking a refresher and greater facility with data analysis will also find this course helpful.