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"Regression-Discontinuity Design" by Any Other Name Might Be Less Problematic.
Peer reviewed Peer reviewed
Stanley, T. D. – Evaluation Review, 1991
W. M. K. Trochim and others defend the record of the regression-discontinuity (RD) design and blur the statistical tests for treatment effect. Their Monte Carlo results show the problematic nature of RD and its potential bias. New testing strategies and restrictions for the application of RD are proposed. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design. II. When an Interaction Effect Is Present.
Peer reviewed Peer reviewed
Trochim, William M. K.; And Others – Evaluation Review, 1991
The regression-discontinuity design involving a treatment interaction effect (TIE), pretest-posttest functional form specification, and choice of point-of-estimation of the TIE are examined. Formulas for controlling the magnitude of TIE in simulations can be used for simulating the randomized experimental case where estimation is not at the…
Descriptors: Computer Simulation, Control Groups, Equations (Mathematics), Error of Measurement
Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design: I. The Case of No Interaction.
Peer reviewed Peer reviewed
Cappelleri, Joseph C.; And Others – Evaluation Review, 1991
A conceptual approach and a set of computer simulations are presented to demonstrate that random measurement error in the pretest does not bias the estimate of the treatment effect in the regression-discontinuity design. Focus is on the case of no interaction between pretest and treatment on posttest. (SLD)
Descriptors: Analysis of Covariance, Computer Simulation, Equations (Mathematics), Error of Measurement