On the Limitations of Manipulation Checks: An Obstacle Toward Cumulative Science
Author(s) -
MariePierre Fayant,
Harold Sigall,
Aurore Lemonnier,
Emilie Retsin,
Théodore Alexopoulos
Publication year - 2017
Publication title -
international review of social psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.251
H-Index - 18
ISSN - 2397-8570
DOI - 10.5334/irsp.102
Subject(s) - construct (python library) , argument (complex analysis) , obstacle , psychology , construct validity , computer science , epistemology , political science , law , medicine , clinical psychology , philosophy , programming language , psychometrics
Manipulation checks do not allow ruling out or accepting alternative explanations of causal effects (Sigall & Mills, 1998). In order to gauge the influence of this argument on current research practices, we surveyed the views of researchers on manipulation checks. Results confirmed that a manipulation check still stands as a totem of experimental rigor. Except in rare circumstances, such as when pilot testing, manipulation checks do not provide information relevant to construct validity. While it seems cost free to include seemingly informative manipulation checks, we claim it is actually costly because it wrongly enhances subjective confidence in the validity of research findings. We conclude that manipulation checks may hinder efforts to adopt a cumulative culture and practice of hypothesis testing.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom