Instructional manipulation checks: Detecting satisficing to increase statistical power

نویسندگان

  • Daniel M. Oppenheimer
  • Tom Meyvis
  • Nicolas Davidenko
چکیده

0022-1031/$ see front matter 2009 Elsevier Inc. A doi:10.1016/j.jesp.2009.03.009 * Corresponding author. E-mail address: [email protected] (D.M. Op 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. 2009 Elsevier Inc. All rights reserved.

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تاریخ انتشار 1991