Analyzing Likert Data
Open accessAbstract
This article provides information for Extension professionals on the correct analysis of Likert data. The analyses of Likert-type and Likert scale data require unique data analysis procedures, and as a result, misuses and/or mistakes often occur. This article discusses the differences between Likert-type and Likert scale data and provides recommendations for descriptive statistics to be used during the analysis. Once a researcher understands the difference between Likert-type and Likert scale data, the decision on appropriate statistical procedures will be apparent.
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Students' mean scores on the engagement/perceptions questionnaire ranged from 3.02 to 4.48, indicating moderate to high agreement with statements related to motivation, enjoyment, and engagement.
“As shown in T able 2, mean scores ranged from 3.02 to 4.48, indicating moderate to high agreement with statements related to motivation, enjoyment, and engagement (Boone & Boone, 2012).”
From Digital Game-Based Vocabulary Learning Using Kahoot! Perceptions, Engagement, and Achievement Among Moroccan EFL Young Learners (2026) · cites this paper as Boone & Boone, 2012
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Robotic Telemedicine for Mental Health: A Multimodal Approach to Improve Human-Robot Engagement
Lima, M. R., Wairagkar, M., Natarajan, N., Vaitheswaran, S., & Vaidyanathan, R. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.618866 · Cited by 64 · see citing works
Consumer perceptions of functional foods: a scoping review focusing on non-processed foods
Ponte, L. G. S., Ribeiro, S. F., Pereira, J. C. V., Antunes, A. E. C., Bezerra, R. M. N., & da Cunha, D. T. (2025) · Food Reviews International · doi:10.1080/87559129.2025.2453030 · Cited by 43 · see citing works
Brankovic, A., Cook, D., Rahman, J., Delaforce, A., Li, J., Magrabi, F., Cabitza, F., Coiera, E., & Bradford, D. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01764-2 · Cited by 37 · see citing works
Baissane, O. (2026) · Journal of Information Technology Education: Innovations in Practice · doi:10.28945/5704
“As shown in T able 2, mean scores ranged from 3.02 to 4.48, indicating moderate to high agreement with statements related to motivation, enjoyment, and engagement (Boone & Boone, 2012).”
Influential
- Authors
- Boone, H., & Boone, D.
- Affiliations
- West Virginia University (US)
- Venue
- Journal of Extension
- Publisher
- Extension Journal Inc.
- Published
- 2012-04-01
- Volume
- 50
- Issue
- 2
- Pages
- 48
- ISSN
- 0022-0140 (ISSN-L)
- 1077-5315
- OpenAlex
- W2467263134
- Cited by
- 1,407
- References
- 0
- Citations by year
- 2026: 171 · 2025: 127 · 2024: 109 · 2023: 100 · 2022: 104 · 2021: 154 · 2020: 125 · 2019: 116 · 2018: 81 · 2017: 92 · 2016: 74 · 2015: 72 · 2014: 55 · 2013: 23 · 2012: 2
- FWCI
- 64.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Journal of Extension (publishedVersion, cc-by-nc-sa)
- TigerPrints (Clemson University) (submittedVersion, cc-by-nc-sa)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- Likert scale data, data analysis, descriptive statistics, misuse of statistics, extension research, survey data analysis
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