AEA eStudy Webinar: Intro to Quantitative Methods

eStudy 009: Introduction to Quantitative Methods for Evaluators - Katherine McKnight
Dates: Mondays April 2, 9, 16, & 23, 3:00 PM to 4:30 PM Eastern Time. For one registration fee, participants may attend 1 or all sessions. 
Length: 6 total contact hours 
Description: Quantitative data offers opportunities for numerical descriptions of populations and samples. The challenge is in knowing which analyses are best for a given situation. Designed for the practitioner needing a refresher course and/or guidance in applying several univariate quantitative methods to evaluation contexts, the workshop covers the basics of parametric statistics, as well as how to report your findings.

Mini-lectures, computer demonstrations, and homework will introduce methods and concepts. The instructor will review examples of research and evaluation questions and the application of specific statistical methods appropriate to developing a quantitative data-based response.

This eStudy course will occur in 4 90-minute sessions and will include preparation materials sent before, between, and after the sessions.

Day 1 - Measures of central tendency & dispersion (e.g., means & std deviations), the basic General Linear Model, and the t-test

Day 2 - Extend session 1 to ANOVA models

Day 3 - Extend the application of the GLM to correlational analyses, i.e. bivariate correlation

Day 4 - Finish with multiple correlation, i.e. linear regression

All 4 sessions will make a conceptual tie to the GLM and show how tests of means (e.g., t-tests & ANOVAs) and tests of correlation (bivariate and multiple regression) are extensions of the GLM and are therefore related.