AERA Institute on Statistical Analysis for Education Policy Mathematics Education and Equity

This course available at no cost 

AERA Institute on Statistical Analysis for Education Policy
 
Mathematics Education and Equity

The AERA Institute on Statistical Analysis for Education Policy on Mathematics Education and Equity focuses on intersections of mathematics education and equity. The Institute includes a discussion of current issues in mathematics education policy, practice, and equity; and an overview of some quasi-experimental methods appropriate to the analysis of large-scale data. Relevant examples of recent large-scale studies are presented, and theoretical considerations related to the study of equity issues in mathematics education are discussed. Participants are introduced to several useful quasi-experimental techniques, including regression discontinuity, propensity scores, and instrumental variables.

Participants should be familiar with commonly used statistical methods (e.g., regression) and either SPSS or Stata. Participants should also be familiar with a large-scale data set that is appropriate to the study of mathematics education and equity. Instruction focuses on policy-relevant questions related to the focal topic and finding ways to address those questions by analyzing large-scale data sets.

Faculty:

  • Joseph P. Robinson, University of Illinois at Urbana-Champaign

Course sessions:

  • Introduction to Causal Inference
    Presented by Joseph P. Robinson
    (50 Minutes)
     
  • Introduction to Propensity Score Matching
    Presented by Joseph P. Robinson
    (115 Minutes)

Key:

Complete
Failed
Available
Locked
Introduction to Causal Inference with Non-Experimental Data
Recorded 05/01/2014
Recorded 05/01/2014
Introduction to Propensity Score Matching
Recorded 05/01/2014
Recorded 05/01/2014