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A Review of Key Likert Scale Development Advances: 1995–2019

Open access
Jebb, Andrew T., Ng, Vincent, Tay, Louis·2021·Frontiers in Psychology

Abstract

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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Metadata

Authors
Jebb, A. T., Ng, V., & Tay, L.
Venue
Frontiers in Psychology
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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CoChat. (2026). Citation check: A Review of Key Likert Scale Development Advances: 1995–2019. https://app.cochat.ai/papers/10.3389/fpsyg.2021.637547
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Jebb, A. T., Ng, V., & Tay, L. (2021). A Review of Key Likert Scale Development Advances: 1995–2019. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.637547

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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