Abstract

References (17)

Beta

Download | Share | Email | Add to Briefcase | Buy Hard Copy

Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power

Daniel M. Oppenheimer
affiliation not provided to SSRN

Tom Meyvis
NYU Stern School of Business

Nicolas Davidenko
Stanford University

Journal of Experimental Social Psychology, Vol. 45, pp. 867-872, 2009

Abstract:
Participants are not always as diligent in reading and following instructions as experimenters would like them to be. When participants fail to follow instructions, this increases noise and decreases the validity of their data. This paper presents and validates a new tool for detecting participants who are not following instructions – the Instructional manipulation check (IMC). We demonstrate how the inclusion of an IMC can increase statistical power and reliability of a dataset.

Keywords: survey construction, experimental methodology, participant motivation

JEL Classifications: C90, C9, C81

Accepted Paper Series

Date posted: July 27, 2007 ; Last revised: August 17, 2009

Suggested Citation

Oppenheimer, Daniel M., Meyvis, Tom and Davidenko, Nicolas, Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power (2009). Journal of Experimental Social Psychology, Vol. 45, pp. 867-872, 2009. Available at SSRN: http://ssrn.com/abstract=1003424

Export to: Export Citation What's this?

Contact Information

Daniel M. Oppenheimer (Contact Author) affiliation not provided to SSRN ( email ) No Address Available
Nicolas Davidenko Stanford University ( email ) Stanford, CA 94305 United States
Tom Meyvis NYU Stern School of Business ( email ) New York, NY 10011 United States

Abstract

References (17)

Date posted: July 27, 2007 ; Last revised: August 17, 2009

Suggested Citation

Contact Information

Daniel M. Oppenheimer (Contact Author)

Nicolas Davidenko

Tom Meyvis