Cited by 627Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceStatistical Methods and Applications

A paradox in the interpretation of group comparisons.

Lord, Frederic M.·1967·Psychological Bulletin

Abstract

It is common practice in behavioral research, and in other areas, to apply the analysis of covariance in the investigation of preexisting natural groups. The research worker is usually interested in some criterion variable (y) and would like to make allowances for the fact that his groups are not matched on some important independent variable or control variable (x). The situation is such that observed differences in the dependent variable might logically be caused by differences in the independent variable, and the research worker wishes to rule out this possibility. It is widely recognized that ideally the research worker should assign cases or individuals at random to the groups that are to be studied by analysis of covariance. In behavioral research and in many other areas, such random assignment is usually difficult or impossible—as, for example, in a com-

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Authors
Lord, F. M.
Affiliations
Educational Testing Service (US)
Corresponding author
Lord, Frederic M.
Venue
Psychological Bulletin
Published
1967
Volume
68
Issue
5
Pages
304-305
ISSN
  • 0033-2909 (ISSN-L)
  • 1939-1455
OpenAlex
W2055127135
Cited by
627
References
0
Citations by year
2026: 25 · 2025: 10 · 2024: 11 · 2023: 13 · 2022: 16 · 2021: 17 · 2020: 30 · 2019: 28 · 2018: 17 · 2017: 25 · 2016: 18 · 2015: 20 · 2014: 20 · 2013: 20 · 2012: 16
FWCI
13.28
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Bulletin (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
covariance analysis, group comparison, random assignment, control variables, confounding, statistical interpretation, behavioral research
MeSH terms
Behavior, Humans, Psychological Tests, Sex Factors, Statistics as Topic

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