On the loss of reliability in ratings due to coarseness of the scale
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We opted to use a 7-point Likert scale because they have been reported to be the most accurate and reliable.
“While some work collected these ratings on a 9-point Likert scale [22], we opted to use a 7-point Likert scale because they have been reported to be the most accurate and reliable [113–115], despite the popularity of 5-point scales.”
From What is beautiful is still good: the attractiveness halo effect in the era of beauty filters (2024) · cites this paper as [114]
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The Reliability of Survey Attitude Measurement: The Influence of Question and Respondent Attributes
ALWIN, D. F., & KROSNICK, J. A. (1991) · Sociological Methods & Research · doi:10.1177/0049124191020001005 · Cited by 403 · see citing works
What is beautiful is still good: the attractiveness halo effect in the era of beauty filters
Gulati, A., Martínez-Garcia, M., Fernández, D., Lozano, M. A., Lepri, B., & Oliver, N. (2024) · Royal Society Open Science · doi:10.1098/rsos.240882 · Cited by 21 · see citing works
- Authors
- Symonds, P. M.
- Corresponding author
- Symonds, P. M.
- Venue
- Journal of Experimental Psychology
- Published
- 1924-12
- Volume
- 7
- Issue
- 6
- Pages
- 456-461
- ISSN
- 0022-1015 (ISSN-L)
- OpenAlex
- W1964395484
- Cited by
- 194
- References
- 0
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 10 · 2023: 9 · 2022: 5 · 2021: 5 · 2020: 9 · 2019: 13 · 2018: 6 · 2017: 5 · 2016: 2 · 2015: 6 · 2014: 8 · 2013: 9 · 2012: 5
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Psychology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- rating scales, measurement error, inter-rater reliability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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