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No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments

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  • John V. Kane
  • Jason Barabas

Abstract

Manipulation checks are often advisable in experimental studies, yet they rarely appear in practice. This lack of usage may stem from fears of distorting treatment effects and uncertainty regarding which type to use (e.g., instructional manipulation checks [IMCs] or assessments of whether stimuli alter a latent independent variable of interest). Here, we first categorize the main variants and argue that factual manipulation checks (FMCs)—that is, objective questions about key elements of the experiment—can identify individual‐level attentiveness to experimental information and, as a consequence, better enable researchers to diagnose experimental findings. We then find, through four replication studies, little evidence that FMC placement affects treatment effects, and that placing FMCs immediately post‐outcome does not attenuate FMC passage rates. Additionally, FMC and IMC passage rates are only weakly related, suggesting that each technique identifies different sets of attentive subjects. Thus, unlike other methods, FMCs can confirm attentiveness to experimental protocols.

Suggested Citation

  • John V. Kane & Jason Barabas, 2019. "No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments," American Journal of Political Science, John Wiley & Sons, vol. 63(1), pages 234-249, January.
  • Handle: RePEc:wly:amposc:v:63:y:2019:i:1:p:234-249
    DOI: 10.1111/ajps.12396
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    Cited by:

    1. Nitin Verma & Kenneth R. Fleischmann & Le Zhou & Bo Xie & Min Kyung Lee & Kate Rich & Kristina Shiroma & Chenyan Jia & Tara Zimmerman, 2022. "Trust in COVID‐19 public health information," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1776-1792, December.
    2. Huseyn Abdulla & James D. Abbey & Michael Ketzenberg, 2022. "How consumers value retailer's return policy leniency levers: An empirical investigation," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1719-1733, April.
    3. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    4. Khan, Adnan & Nasim, Sanval & Shaukat, Mahvish & Stegmann, Andreas, 2021. "Building trust in the state with information: Evidence from urban Punjab," Journal of Public Economics, Elsevier, vol. 202(C).
    5. Trabucchi, Daniel & Patrucco, Andrea S. & Buganza, Tommaso & Marzi, Giacomo, 2023. "Is transparency the new green? How business model transparency influences digital service adoption," Technovation, Elsevier, vol. 126(C).
    6. Pierluigi Conzo & Andrea Gallice & Juan S. Morales & Margaret Samahita & Laura K. Taylor, 2021. "Can Hearts Change Minds? Social media Endorsements and Policy Preferences," Carlo Alberto Notebooks 641, Collegio Carlo Alberto.
    7. Paul Fesenfeld, Lukas & Maier, Maiken & Brazzola, Nicoletta & Stolz, Niklas & Sun, Yixian & Kachi, Aya, 2023. "How information, social norms, and experience with novel meat substitutes can create positive political feedback and demand-side policy change," Food Policy, Elsevier, vol. 117(C).
    8. Jimin Pyo & Michael G. Maxfield, 2021. "Cognitive Effects of Inattentive Responding in an MTurk Sample," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 2020-2039, July.
    9. Anders Brostrom & Cornelia Lawson & Mabel Sanchez Barrioluengo, 2024. "Are Scientists Perceived as Credible Experts?," MIOIR Working Paper Series 2024-06, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    10. Mombeuil, Claudel & Uhde, Helena, 2021. "Relative convenience, relative advantage, perceived security, perceived privacy, and continuous use intention of China’s WeChat Pay: A mixed-method two-phase design study," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    11. Gong, Zepeng & Tang, Zhiwei & Zhou, Jing & Han, Ziqiang & Zhang, Jingran, 2024. "A comparison of definitions of school bullying among students, parents, and teachers: An experimental study from China," Children and Youth Services Review, Elsevier, vol. 161(C).
    12. Del Ponte, Alessandro & Li, Lianjun & Ang, Lina & Lim, Noah & Seow, Wei Jie, 2024. "Evaluating SoJump.com as a tool for online behavioral research in China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    13. Stutz, Adrian & Schell, Sabrina & Hack, Andreas, 2022. "In family firms we trust – Experimental evidence on the credibility of sustainability reporting: A replication study with extension," Journal of Family Business Strategy, Elsevier, vol. 13(4).

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