Detecting careless responding in multidimensional forced-choice questionnaires
Open accessAbstract
The multidimensional forced-choice (MFC) format is an alternative to rating scales in which participants rank items according to how well the items describe them. Currently, little is known about how to detect careless responding in MFC data. The aim of this study was to adapt a number of indices used for rating scales to the MFC format and additionally develop several new indices that are unique to the MFC format. We applied these indices to a data set from an online survey ( N = 1,169) that included a series of personality questionnaires in the MFC format. The correlations among the careless responding indices were somewhat lower than those published for rating scales. Results from a latent profile analysis suggested that the majority of the sample (about 76–84%) did not respond carelessly, although the ones who did were characterized by different levels of careless responding. In a simulation study, we simulated different careless responding patterns and varied the overall proportion of carelessness in the samples. With one exception, the indices worked as intended conceptually. Taken together, the results suggest that careless responding also plays an important role in the MFC format. Recommendations on how it can be addressed are discussed.
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From Measuring undergraduate students’ reliance on generative AI during problem-solving: Scale development and validation. (2025) · cites this paper as Kupffer et al., 2024
The Results section says there were no established cutoff values for the newly developed MFC indices, including longOrderMax and longOrderAvg. The Rank Order 2 Indices section distinguishes those indices from the LongString index used with rating scales. The paper therefore supports the point for its MFC adaptations, but does not establish that no unified threshold exists for the LongString index generally. (LLM, conf=0.84)
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Careless responding in questionnaire measures: Detection, impact, and remedies
Goldammer, P., Annen, H., Stöckli, P. L., & Jonas, K. (2020) · The Leadership Quarterly · doi:10.1016/j.leaqua.2020.101384 · Cited by 200 · see citing works
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Hou, C., Zhu, G., Sudarshan, V., Lim, F. S., & Ong, Y. S. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105329 · Cited by 70 · see citing works
Hou, C., Zhu, G., & Sudarshan, V. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13613 · Cited by 72 · see citing works
- Authors
- Kupffer, R., Frick, S., & Wetzel, E.
- Affiliations
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
- University of Mannheim (DE)
- Corresponding author
- Kupffer, Rebekka
- Venue
- Educational and Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 2024-01-12
- Volume
- 84
- Issue
- 5
- Pages
- 887-926
- ISSN
- 0013-1644 (ISSN-L)
- 1552-3888
- PMC
- PMC11418602
- OpenAlex
- W4390794801
- Cited by
- 17
- References
- 3
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 2 · 2023: 1
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Educational and Psychological Measurement (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Young Scholar Fund of the University of Konstanz awarded to Eunike Wetzel
- Deutsche Forschungsgemeinschaft (GRK 2277)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- careless responding, forced-choice questionnaires, personality tests, rating scales, latent profile analysis, simulation study, survey data quality
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