The purpose of the Design &
Analysis of Experiments TIG is to provide an active forum for AEA members who
specialize in or have special interest in experimental evaluation research to
connect and advance the methods and practice of this segment of the evaluation
field. Evaluations that use an
experimental design (with randomization of treatment and control units) are
distinctive and involve their own methods, practices and analyses, as well as
many that connect to other TIGs’ foci.
We hope to engage members from other relevant TIGs in order to have
cross-fertilizing discussions.
Specific
areas of scholarly discussion for this TIG include:
· integrating randomization into program
operations
· how to analyze experimental data (ITT, ATE, TOT,
LATE, CACE, moderator effects)
· design strategies for getting inside the black
box
· analytic strategies for getting inside the black
box
· opportunities to explore mediation with
experimental data
· power analyses/considerations (e.g., re:
differential effects, in clustered-designs)
· opportunities/challenges from multi-site
experiments (when pooling is/is not justified; ICCs and power implications;
extending multi-level modeling to experimental data)
·
within study comparisons (under what conditions
do varied quasi-experiments reproduce experiments’ results)
·
handling missing data and attrition (when
differential T-C attrition is a fierce enemy)
·
the external validity of experimentally-designed
evaluations
·
low cost experiments
Consider becoming active in the TIG in order to shape its future and contribute to our field.