Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design. II. When an Interaction Effect Is Present.

Trochim, William M. K.; And Others

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Peer reviewed

ERIC Number: EJ435139

Record Type: Journal

Publication Date: 1991

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ISSN: ISSN-0193-841X

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Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design. II. When an Interaction Effect Is Present.

Trochim, William M. K.; And Others

Evaluation Review, v15 n5 p571-604 Oct 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 pretest mean. (SLD)

Descriptors: Computer Simulation, Control Groups, Equations (Mathematics), Error of Measurement, Estimation (Mathematics), Experimental Groups, Graphs, Mathematical Models, Monte Carlo Methods, Pretests Posttests, Statistical Bias

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

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Author Affiliations: N/A