The reliability of a two-item scale: Pearson, Cronbach, or spearman-brown?

Eisinga, Rob; Grotenhuis, Manfred te; Pelzer, Ben

doi:10.1007/s00038-012-0416-3

Cited by 2,695Psychometric Methodologies and TestingReliability and Agreement in MeasurementHealth Education and Validation

The reliability of a two-item scale: Pearson, Cronbach, or spearman-brown?

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Eisinga, Rob, Grotenhuis, Manfred te, Pelzer, Ben·2013·International Journal of Public Health

DOI 10.1007/s00038-012-0416-3

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Authors: Eisinga, R., Grotenhuis, M. T., & Pelzer, B.
Affiliations: Radboud University Nijmegen (NL)
Corresponding author: Eisinga, Rob
ORCID: Eisinga, Rob
Grotenhuis, Manfred te
Venue: International Journal of Public Health
Publisher: Springer Science and Business Media LLC
Published: 2012-10-23
Volume: 58
Issue: 4
Pages: 637-642
ISSN: 1661-8556 (ISSN-L)
1661-8564
DOI: 10.1007/s00038-012-0416-3
OpenAlex: W1995949104
Cited by: 2,695
References: 19
Citations by year: 2026: 332 · 2025: 264 · 2024: 306 · 2023: 322 · 2022: 298 · 2021: 251 · 2020: 206 · 2019: 165 · 2018: 160 · 2017: 126 · 2016: 123 · 2015: 79 · 2014: 42 · 2013: 17
FWCI: 58.56
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: www.springer.com/tdm (tdm)
Locations: International Journal of Public Health (publishedVersion)
PubMed (publishedVersion)
Radboud Repository (Radboud University) (submittedVersion)
Radboud Repository (Radboud University) (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
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 › Education › Health Education and Validation
Keywords: scale reliability, Pearson correlation, Cronbach's alpha, Spearman-Brown formula, internal consistency, psychometric assessment
MeSH terms: Humans, Surveys and Questionnaires, Research Design, Reproducibility of Results, Models, Statistical, Biomedical Research

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