Publications by authors named "Edward J Hansen"
It is a common problem in psychology subject pools for past study participants to inform future participants of key experimental details (also known as crosstalk). Previous research (Edlund, Sagarin, Skowronski, Johnson, & Kutter, 2009) demonstrated that a combined classroom and laboratory treatment could significantly reduce crosstalk. The present investigation tested a laboratory-only treatment for the prevention of crosstalk at five universities, along with institutional-level moderators of crosstalk.
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- Treatment noncompliance in randomized experiments can impact the accuracy of causal conclusions and the interpretation of treatment effects.
- The article reviews 7 methods to address this issue, dividing them into 3 traditional and 4 newer statistical strategies.
- Traditional methods include intention-to-treat analysis, as-treated analysis, and per-protocol analysis, while newer methods encompass complier average causal effect, dose-response estimation, propensity score analysis, and treatment effect bounding.
- The discussion analyzes each approach's applications, estimates, assumptions, strengths, and weaknesses.