Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power
Daniel M. Oppenheimer
University of California, Los Angeles (UCLA) - Anderson School of Management
New York University (NYU) - Department of Marketing
Journal of Experimental Social Psychology, Vol. 45, pp. 867-872, 2009
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, C81Accepted Paper Series
Date posted: July 27, 2007 ; Last revised: August 17, 2009
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