Not Liking the Likert? A Rasch Analysis of Forced-choice Format and Usefulness in Survey Design

Celeste Combrinck

SAGE Open, 2024, vol. 14, issue 4, 21582440241295501

Abstract: We have less time and focus than ever before, while the demand for attention is increasing. Therefore, it is no surprise that when answering questionnaires, we often choose to strongly agree or be neutral, producing problematic and unusable data. The current study investigated forced-choice (ipsative) format compared to the same questions on a Likert-type as a viable alternative. An established motivation questionnaire was administered in two versions, forced-choice and Likert-type, to 1088 first-year engineering students. Descriptive, non-parametric statistics and Rasch measurement models were applied to assess usefulness, validity and reliability. Results: The ipsative version had a higher response rate, less missing data, and the motivations emerged more clearly. Evidence for the reliability and validity of the forced-choice version was excellent. The forced-choice format is recommended as an alternative to the Likert types when collecting human or social survey data.

Keywords: forced-choice format; Rasch measurement models; Ipsative data; Likert-type format; reliability and validity of survey data (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440241295501 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:14:y:2024:i:4:p:21582440241295501

DOI: 10.1177/21582440241295501

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().