Quantitative Methods for Policy Research

Center for Improving Methods for Quantitative Policy Research (Q-Center)

WP-10-10
Bias in Political Communication Experiments
James Druckman and Thomas Leeper

WP-10-02
Analyzing Regression-Discontinuity Designs with Multiple Assignment Variables:
A Comparative Study of Four Estimation Methods
Vivian Wong, Peter Steiner, Thomas Cook

WP-09-10
Comment on "Tests of Certain Types of Ignorable Nonresponse in Surveys Subject to Item Nonresponse or Attrition"
Christopher H. Rhoads

WP-09-05
Students as Experimental Participants: A Defense of the "Narrow Data Base"
James N. Druckman and Cindy D. Kam

WP-08-10
When Do Latent Class Models Overstate Accuracy for Binary Classifiers? With Applications to Jury Accuracy, Survey Response Error, and Diagnostic Error
Bruce Spencer

WP-07-15
Constructing a More Powerful Test in Three-Level Cluster Randomized Designs
Spyros Konstantopoulos

WP-07-14
Correcting a Significance Test for Clustering in Designs With Two Levels of Nesting
Larry Hedges

WP-07-13
Effect Sizes in Three-Level Cluster Randomized Experiments
Larry Hedges

WP-07-12
How Long Do Teacher Effects Persist?
Spyros Konstantopoulos

WP-07-05
The Power of the Test in Three-Level Designs
Spyros Konstantopoulos

WP-07-04
Computing Power of Tests for the Variability of Treatment Effects in Designs with Two Levels
of Nesting
Spyros Konstantopoulos

WP-07-03
“Waiting for Life to Arrive”: A History of the Regression-Discontinuity Design in Psychology,
Statistics, and Economics
Thomas D. Cook

WP-07-02
Empirical Tests of the Validity of the Regression-Discontinuity Design
Thomas D. Cook and Vivian Wong

WP-06-13
Effect Sizes in Cluster-Randomized Designs
Larry Hedges

WP-06-12
Intraclass Correlation Values for Planning Group Randomized Trials in Education
Larry Hedges and Eric Hedberg

WP-06-11
Correcting a Significance Test for Clustering
Larry Hedges