Cited by 673Statistical Methods and ApplicationsPsychometric Methodologies and TestingForecasting Techniques and Applications

Unit weighting schemes for decision making

Einhorn, Hillel J., Hogarth, Robin M.·1975·Organizational Behavior and Human Performance

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Registry

Crossref · 10.1016/0030-5073(75)90044-6

Cites

27 of 27 references verified0 citation errors · 0 not checkable

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  • Regression estimates produce ex ante forecasts that are often less accurate than forecasts from 'unit weights' models.

    “However, studies have shown that regression estimates produce ex ante forecasts that are often less accurate than forecasts from 'unit weights' models.”

    From Illusions in Regression Analysis (2011) · cites this paper as Einhorn and Hogarth (1975)

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Authors
Einhorn, H. J., & Hogarth, R. M.
Affiliations
  • University of Chicago (US)
  • INSEAD (FR)
Venue
Organizational Behavior and Human Performance
Publisher
Elsevier BV
Published
1975-04
Volume
13
Issue
2
Pages
171-192
ISSN
0030-5073 (ISSN-L)
OpenAlex
W2107426741
Cited by
673
References
27
Citations by year
2026: 9 · 2025: 4 · 2024: 16 · 2023: 9 · 2022: 10 · 2021: 10 · 2020: 13 · 2019: 16 · 2018: 10 · 2017: 11 · 2016: 7 · 2015: 16 · 2014: 16 · 2013: 17 · 2012: 13
FWCI
30.12
Type
journal article
Language
en
Open access
closed
Locations
Organizational Behavior and Human Performance (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
Keywords
composite variables, component weighting, linear regression, predictive power, decision-making, sample size effects

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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.

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