The Impact of Attentiveness Interventions on Survey Data.

Bibliographic Details
Title: The Impact of Attentiveness Interventions on Survey Data.
Authors: Fuller, Christie M.1 (AUTHOR) christiefuller@boisestate.edu, Simmering, Marcia J.2 (AUTHOR), Waterwall, Brian3 (AUTHOR), Ragland, Elizabeth4,5 (AUTHOR), Twitchell, Douglas P.1 (AUTHOR), Wall, Alison6 (AUTHOR)
Source: Educational & Psychological Measurement. Jan2025, p1.
Subject Terms: Manipulation checks (Research), Instructional films, Behavioral sciences, Research personnel, Attention
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. [ABSTRACT FROM AUTHOR]
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Database: Business Source Complete
More Details
ISSN:00131644
DOI:10.1177/00131644241311851
Published in:Educational & Psychological Measurement
Language:English