Detecting Careless Responding: A Comparison of Norm Group-Based Mahalanobis Distance and Norm Group-Based Person-Total Correlation with Their Sample-Based Counterparts
Detecting careless responding in self-report questionnaires has gained considerable attention. Different detection methods have been proposed, with implicit methods offering clear advantages over explicit ones. Mahalanobis distance (MD) and person-total correlation ( r pbis ) are among the most promising implicit detection methods. However, previous research has suggested that MD and r pbis are less accurate indicators of careless responding when the percentage of careless respondents in the sample is high and that norm group-based (NGB) MD and r pbis might be more accurate alternatives under that condition. In two simulation studies and a reanalysis of real data, we examined whether NGB MD and NGB r pbis indeed outperform their sample-based (SB) counterparts in a variety of careless responding patterns. The three main findings were as follows: (1) NGB MD outperformed SB MD in most conditions in three studies, (2) both MD indices (but not r pbis indices) were ineffective when simulated scale-midpoint invariant and full straightlining careless responding had to be detected, and (3) NGB r pbis almost never outperformed SB r pbis . We therefore recommend using NGB MD instead of SB MD, and using SB r pbis instead of NGB r pbis when screening data for careless responding.
Authors
- Anna Luca Heimann (ORCID: https://orcid.org/0000-0003-2912-1677)
- Hubert Annen (ORCID: https://orcid.org/0000-0003-1508-6276)
- Philippe Goldammer (ORCID: https://orcid.org/0000-0002-9914-9897)
- Peter Lucas Stöckli (ORCID: https://orcid.org/0000-0003-3216-4803)
- Yannik Andrea Escher (ORCID: https://orcid.org/0000-0002-8976-5805)
Institutions
- Leuphana University of Lüneburg (DE)
- University of Surrey (GB)
- ETH Zurich (CH)
Publication Details
- Journal
- Organizational Research Methods
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1177/10944281261488778
- Primary Topic
- Psychometric Methodologies and Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00