Related Experiment Video
Updated: Feb 2, 2026

Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
Generalizability of heterogeneous treatment effect estimates across samples
Alexander Coppock1, Thomas J Leeper2, Kevin J Mullinix3
1Department of Political Science, Yale University, New Haven, CT 06520; alex.coppock@yale.edu.
Survey experiments using convenience samples generalize well because treatment effects are largely homogeneous across subgroups. This homogeneity explains why results from convenience samples often match those from representative samples.
Area of Science:
- Social Sciences
- Political Science
- Survey Methodology
Background:
- Generalizability of survey experiments to target populations is crucial.
- Nonrepresentative convenience samples are widely used in research.
- Treatment effect heterogeneity is a key factor influencing generalizability.
Purpose of the Study:
- To investigate the extent to which subgroup treatment effect estimates generalize from original studies to replication studies using convenience samples.
- To assess the role of treatment effect heterogeneity in explaining the correspondence between nationally representative experiments and convenience sample studies.
Main Methods:
- Analysis of subgroup conditional average treatment effects.
- Utilized 27 original-replication study pairs with 101,745 individual survey responses.
- Compared effect estimates between nationally representative and convenience samples.
Main Results:
- Overwhelming pattern of treatment effect homogeneity observed across studies.
- Subgroup effect estimates showed considerable generalization.
- Treatment effect homogeneity partially explains the strong correspondence in average treatment effects.
Conclusions:
- Treatment effect homogeneity is a primary reason for the generalizability of survey experiments using convenience samples.
- Findings support the use of convenience samples when treatment effects are homogeneous.
- Further research can explore specific conditions that might lead to heterogeneity.
Related Concept Videos
What are Estimates?
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
Estimation of k and VD of Aminoglycosides
Estimation of the Physical Quantities
Estimating Population Standard Deviation
Estimating Population Mean with Known Standard Deviation
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
Confidence Interval for Estimating Population Mean
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...

