The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
A Review of Key Likert Scale Development Advances: 1995–2019
Open accessAbstract
Developing self-report Likert scales is an essential part of modern psychology. However, it is hard for psychologists to remain apprised of best practices as methodological developments accumulate. To address this, this current paper offers a selective review of advances in Likert scale development that have occurred over the past 25 years. We reviewed six major measurement journals (e.g., Psychological Methods, Educational, and Psychological Measurement) between the years 1995–2019 and identified key advances, ultimately including 40 papers and offering written summaries of each. We supplemented this review with an in-depth discussion of five particular advances: (1) conceptions of construct validity, (2) creating better construct definitions, (3) readability tests for generating items, (4) alternative measures of precision [e.g., coefficient omega and item response theory (IRT) information], and (5) ant colony optimization (ACO) for creating short forms. The Supplementary Material provides further technical details on these advances and offers guidance on software implementation. This paper is intended to be a resource for psychological researchers to be informed about more recent psychometric progress in Likert scale creation.
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Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
(1932) · Medical Entomology and Zoology · Cited by 9,568
Statistical Theories of Mental Test Scores
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,022
Constructing validity: Basic issues in objective scale development.
Clark, L. A., & Watson, D. (1995) · Psychological Assessment · doi:10.1037/1040-3590.7.3.309 · Cited by 6,567
A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires
Hinkin, T. R. (1998) · Organizational Research Methods · doi:10.1177/109442819800100106 · Cited by 4,095
WEIRD languages have misled us, too
Majid, A., & Levinson, S. C. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1000018x · Cited by 4,076
Dunn, T. J., Baguley, T., & Brunsden, V. (2014) · British Journal of Psychology · doi:10.1111/bjop.12046 · Cited by 3,596
Dorigo, M., & Stützle, T. (2004) · The MIT Press eBooks · doi:10.7551/mitpress/1290.001.0001 · Cited by 3,330
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Beyari, H., & Hashem, T. (2025) · Behavioral Sciences · doi:10.3390/bs15050700 · Cited by 53
Airways Type-2 Related Disorders: Multiorgan, Systemic or Syndemic Disease?
Giombi, F., Pace, G. M., Pirola, F., Cerasuolo, M., Ferreli, F., Mercante, G., Spriano, G., Canonica, G. W., Heffler, E., Ferri, S., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25020730 · Cited by 25
The Impact of Fintech on Financial Institutions: The Case of Georgia
Lashkhi, M., Charaia, V., Boyarchuk, A., & Ebralidze, L. (2022) · TalTech Journal of European Studies · doi:10.2478/bjes-2022-0010 · Cited by 9
Being diagnosed with a rhabdomyosarcoma in the era of artificial intelligence: whom can we trust?
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Metadata
- Authors
- Jebb, A. T., Ng, V., & Tay, L.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2021-05-04
- Volume
- 12
- Pages
- 637547-637547
- ISSN
- 1664-1078 (ISSN-L)
- OpenAlex
- W3157897384
- Cited by
- 770
- References
- 102
- FWCI
- 60.43
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.