A Method for Evaluating and Selecting Field Experiment Locations

Trafimow, D., Leonhardt, J. M., Niculescu, M., & Payne, C. A method for evaluating and selecting field experiment locations. Marketing Letters (Forthcoming).

11 Pages Posted: 3 Feb 2016

See all articles by David Trafimow

David Trafimow

New Mexico State University

James M. Leonhardt

New Mexico State University - Department of Marketing

Mihai Niculescu

Independent

Collin R. Payne

New Mexico State University

Date Written: 2015

Abstract

When marketing researchers perform field experiments, it is crucial that the experimental location and the control location are comparable. At present, it is difficult to assess the comparability of field locations because there is no way to distinguish differences between locations that are due to random versus systematic factors. To accomplish this, we propose a methodology that enables field researchers to evaluate and select optimal field locations by parsing these random versus systematic effects. To determine the accuracy of our proposed methodology, we performed computer simulations with 10,000 cases per simulation. The simulations demonstrate that accuracy increases as the number of data points increases and as consistency increases.

Suggested Citation

Trafimow, David and Leonhardt, James M. and Niculescu, Mihai and Payne, Collin R., A Method for Evaluating and Selecting Field Experiment Locations (2015). Trafimow, D., Leonhardt, J. M., Niculescu, M., & Payne, C. A method for evaluating and selecting field experiment locations. Marketing Letters (Forthcoming)., Available at SSRN: https://ssrn.com/abstract=2726085

David Trafimow

New Mexico State University ( email )

College of Business
Las Cruces, NM 88003
United States

James M. Leonhardt (Contact Author)

New Mexico State University - Department of Marketing ( email )

United States

Mihai Niculescu

Independent ( email )

United States

Collin R. Payne

New Mexico State University ( email )

College of Business
Las Cruces, NM 88003
United States

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