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

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

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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Crossref · 10.1037/1082-989x.1.2.199

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Metadata

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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