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K-Alpha Calculator—Krippendorff’s Alpha Calculator: A user-friendly tool for computing Krippendorff’s Alpha inter-rater reliability coefficient
Open accessAbstract
Krippendorff's Alpha is a measure for assessing inter-rater reliability, facilitating triangulated evaluations among multiple raters. Indeed, Krippendorff's Alpha is key in validating the dependability of human assessments, thereby reinforcing the robustness of human-based choices in contexts where interpretive variability could otherwise undermine the research outcomes. Despite its versatility across various data types, the procedure for computing this coefficient might limit its applicability for researchers unfamiliar with specialised statistical software. Addressing this issue, this paper introduces the "K-Alpha Calculator"-Krippendorff's Alpha Calculator-a freely accessible, user-friendly, web application available at https://www.k-alpha.org designed for easy computation of Krippendorff's Alpha. By offering a web interface without any software dependency, the K-Alpha Calculator seeks to promote the broader integration of such a reliability metric in research processes. We envisage that the tool's contribution could support researchers in enhancing methodological rigour, fostering conclusions are rooted in triangulated interpretations and assessments. The K-Alpha Calculator is both a computational tool and an educational resource, encouraging more researchers to include reliability measures in their studies.•Development of the K-Alpha Calculator.The study centres on the introduction of a web-based application: the K-Alpha Calculator. The tool is developed to simplify the calculation of Krippendorff's Alpha without any required software dependency.•User-friendly interface for diverse data types.The K-Alpha Calculator is characterised by its accessibility and user-friendliness, designed to simplify the procedures for computing the Krippendorff's Alpha. Its utility extends to various data types, which aligns with the intrinsic versatility of this coefficient.
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“Inter-coder reliability was 0.81 based on Krippendorff’s Alpha [45,46], indicating a good level of agreement among coders.”
From Help-Seeking Situations Related to Visual Interactions on Mobile Platforms and Recommended Designs for Blind and Visually Impaired Users (2024) · cites this paper as [46]
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MERCADO-REYNA, J., Mendoza-González, R., Luna-García, H., Rosas, F. J. L., Romo, J. C. M., Domínguez-Báez, C.-A., Flores, S. E., & Rivera-Medina, R. J. (2026) · Array · doi:10.1016/j.array.2026.101400
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Cognitive dormancy: Supplanting structured learning with AI affordances
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Metadata
- Authors
- Marzi, G., Balzano, M., & Marchiori, D.
- Affiliations
- IMT School for Advanced Studies Lucca (IT)
- Ca' Foscari University of Venice (IT)
- Corresponding author
- Marzi, Giacomo
- Venue
- MethodsX
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 12
- Pages
- 102545
- ISSN
- 2215-0161 (ISSN-L)
- PMC
- PMC11636850
- OpenAlex
- W4390636334
- Cited by
- 292
- References
- 10
- Citations by year
- 2026: 143 · 2025: 113 · 2024: 36
- FWCI
- 80.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- MethodsX (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) (submittedVersion, cc-by)
- ARCA (Università Ca' Foscari Venezia) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
- Keywords
- Krippendorff's alpha, inter-rater reliability, web-based calculator, reliability analysis software
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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