The Impact of Attentiveness Interventions on Survey Data

Social and behavioral science researchers who use survey data are vigilant about data quality, with an increasing emphasis on avoiding common method variance (CMV) and insufficient effort responding (IER). Each of these errors can inflate and deflate substantive relationships, and there are both a priori and post hoc means to address them. Yet, little research has investigated how both IER and CMV are affected with the use of these different procedural or statistical techniques used to address them. More specifically, if interventions to reduce IER are used, does this affect CMV in data? In an experiment conducted both in and out of the laboratory, we investigate the impact of attentiveness interventions, such as a Factual Manipulation Check (FMC) on both IER and CMV in same-source survey data. In addition to typical IER measures, we also track whether respondents play the instructional video and their mouse movement. The results show that while interventions have some impact on the level of participant attentiveness, these interventions do not appear to lead to differing levels of CMV.

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Publication Details

Journal
Educational and Psychological Measurement
Published
2025-01-29
DOI
https://doi.org/10.1177/00131644241311851
Primary Topic
Survey Methodology and Nonresponse
Type
article
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article

The Impact of Attentiveness Interventions on Survey Data

Brian Waterwall, Alison Wall, Marcia J. Simmering, Douglas P. Twitchell et al.
Educational and Psychological Measurement
Survey Methodology and Nonresponse
article

The Impact of Attentiveness Interventions on Survey Data

Brian Waterwall, Alison Wall, Marcia J. Simmering, Douglas P. Twitchell, Christie M. Fuller, Elizabeth Ragland
article en

Abstract

Social and behavioral science researchers who use survey data are vigilant about data quality, with an increasing emphasis on avoiding common method variance (CMV) and insufficient effort responding (IER). Each of these errors can inflate and deflate substantive relationships, and there are both a priori and post hoc means to address them. Yet, little research has investigated how both IER and CMV are affected with the use of these different procedural or statistical techniques used to address them. More specifically, if interventions to reduce IER are used, does this affect CMV in data? In an experiment conducted both in and out of the laboratory, we investigate the impact of attentiveness interventions, such as a Factual Manipulation Check (FMC) on both IER and CMV in same-source survey data. In addition to typical IER measures, we also track whether respondents play the instructional video and their mouse movement. The results show that while interventions have some impact on the level of participant attentiveness, these interventions do not appear to lead to differing levels of CMV.

Educational and Psychological MeasurementVol. 85(4)
Boise State University (US), East Carolina University (US), Southern Connecticut State University (US), University of Louisiana at Monroe (US), Louisiana Tech University (US)
Quality Education
Openalex Percentile: Top 98%
Survey Methodology and Nonresponse
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The Impact of Attentiveness Interventions on Survey Data — Brian Waterwall, Alison Wall, et al. · Educational and Psychological Measurement (2025) | TGRS Research Map | TGRS