Assessing Program Impact: Randomized Field Experiments

12 important questions on Assessing Program Impact: Randomized Field Experiments

There are 2 competing pressures when designing impact evaluations

- sufficient rigor in order to make relatively firm conclusions
- practical considerations: time, money, cooperation, and protection of human subjects

The strongest design for an impact evaluation is

randomized field experiment

Causal relationships are expressed in _____

probabilities
When stated that A causes B, this usually means that if we introduce A, B is more likely to result than if we do not introduce A. This does not imply that B always results from A, nor that B occurs only if A happens first.
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When is Impact assessment appropriate?

at many points of life course of social program
- pilot demo
- when implemented at limited scale
- ongoing programs

Prereqs:
- build on earlier forms of evaluation (assessment of program theory and program process) - Program circumstances
- sufficiently implemented so that implementation problems are ironed out (available resources)
- political dimensions (need for info)

Impact assessment are inherently ____

comparative
compare treatment vs. control (no treatment or alternative treatment)

Randomized field experiment

gold standard research design
participants are randomly sorted into groups (intervention or control) then compared on outcome measures to determine the effects of the intervention

Several reasons why it is difficult to implement very best impact evaluation design

1) intervention or target coverage does not lend itself to that sort design (ethical dilemmas)
2) time and resource constraints
3) justification of importance of the results being tested and intended use of results

The ____ the number of units randomly assigned to intervention and control groups the more likely those groups are to be statistically significant

larger

RCTs are only a small proportion of impact assessment. There are a few reasons:

political considerations
ethical considerations
time consuming
costly
demanding with regard to expertise and cooperation of participants and service providers
challenging to conduct (implement)

Dennis and Boruch identified 5 threshold conditions that should be met before a RCT

Present practice myst need improvement
Efficacy of the proposed intervention must be uncertain under field conditions
There should be no simpler alternatives for evaluating the intervention
Results must be potentially important for policy
Design must be able to meet ethical standards of both the researchers and the service providers

2 strategies to improve estimate of effects that result from RCT

1) make multiple measurements of outcome variable (pretest-posttest, the more measurements of outcome variable made before and after the intervention, the better the the estimates of program effects)
2) collect data periodically during the course of an intervention (allow evaluators to construct useful accounts of how intervention work over time)

Analyzing randomized experiments

1) simple means-comparison for intervention and control groups
2) regression (better statistical control of the variables other than intervention that might affect outcomes)

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