Abstract

http://ssrn.com/abstract=1003424
 
 

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Citations (17)



 


 



Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power


Daniel M. Oppenheimer


affiliation not provided to SSRN

Tom Meyvis


New York University (NYU) - Department of Marketing

Nicolas Davidenko


Stanford University

2009

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.

Number of Pages in PDF File: 6

Keywords: survey construction, experimental methodology, participant motivation

JEL Classification: C90, C9, C81

Accepted Paper Series


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

Suggested Citation

Oppenheimer, Daniel M. and 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

Contact Information

Daniel M. Oppenheimer (Contact Author)
affiliation not provided to SSRN ( email )
No Address Available
Tom Meyvis
New York University (NYU) - Department of Marketing ( email )
Henry Kaufman Ctr
44 W 4 St.
New York, NY
United States
Nicolas Davidenko
Stanford University ( email )
Stanford, CA 94305
United States
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