Cited by 568Psychometric Methodologies and TestingReliability and Agreement in MeasurementMeta-analysis and systematic reviews

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Measurement error in psychological research: Lessons from 26 research scenarios.

Schmidt, Frank L., Hunter, John E.·1996·Psychological Methods

DOI 10.1037/1082-989x.1.2.199

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Abstract

technical principles to concrete research problems that appear in a wide variety of forms and with a myriad of obscuring features, details, and idiosyncracies. This article is based on a different approach: examination of a series of concrete research scenarios that we have encountered in our work as researchers, advisors to researchers, or reviewers. This article examines 26 real-world case studies and explicates them on the basis of the principles of reliability theory found in Cronbach (1947, 1951) and Cronbach et al. (1972). Although we cite and rely on these sources, other sources (e.g., Thorndike, 1951) would yield identical resolutions; only the terminology would be sometimes (slightly) different. In classical measurement theory, the fundamental general formula for the observed correlation between any two measures, x and y, is yields the dissattenuation formula:

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Authors: Schmidt, F. L., & Hunter, J. E.
Affiliations: University of Iowa (US)
ORCID: Hunter, John E.
Venue: Psychological Methods
Publisher: American Psychological Association (APA)
Published: 1996-06
Volume: 1
Issue: 2
Pages: 199-223
ISSN: 1082-989X (ISSN-L)
1939-1463
DOI: 10.1037/1082-989x.1.2.199
OpenAlex: W2051130243
Cited by: 567
References: 24
Citations by year: 2026: 19 · 2025: 15 · 2024: 28 · 2023: 16 · 2022: 16 · 2021: 25 · 2020: 13 · 2019: 21 · 2018: 24 · 2017: 17 · 2016: 22 · 2015: 21 · 2014: 18 · 2013: 21 · 2012: 29
FWCI: 26.81
Type: journal article
Language: en
Open access: closed
Locations: Psychological Methods (publishedVersion)
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 › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Keywords: measurement error, reliability theory, classical test theory, research scenarios, case studies

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Measurement error in psychological research: Lessons from 26 research scenarios.

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