Abstract
We evaluate the role of selection bias in causal generalization. We
compare levels of bias in estimates of average causal impacts from
experiments and from non-experiments. To demonstrate we use data from 79
sites in the multisite trial of Tennessee’s Student Teacher Achievement
Ratio (STAR), and we use results obtained during a randomized experiment
of the Alabama Math Science and Technology Initiaitve (AMSTI).