Regression toward the mean and the study of change.

Nesselroade, John R.; Stigler, Stephen M.; Baltes, Paul B.

doi:10.1037/0033-2909.88.3.622

Cited by 241Psychometric Methodologies and TestingPsychology Research and BibliometricsStatistical Methods and Bayesian Inference

Regression toward the mean and the study of change.

Nesselroade, John R., Stigler, Stephen M., Baltes, Paul B.·1980·Psychological Bulletin

DOI 10.1037/0033-2909.88.3.622

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The likelihood of regression to the mean increases as an individual becomes more extreme in a distribution of scores.
“In a sense, the likelihood of regression to the mean increases as an individual becomes more extreme in a distribution of scores (Nesselroade, Stigler, & Baltes, 1980).”
From Enrichment Effects on Adult Cognitive Development: Can the Functional Capacity of Older Adults Be Preserved and Enhanced? (2008) · cites this paper as Nesselroade, Stigler, & Baltes, 1980

How we should measure "change": Or should we?
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Authors: Nesselroade, J. R., Stigler, S. M., & Baltes, P. B.
Affiliations: Pennsylvania State University (US)
Venue: Psychological Bulletin
Publisher: American Psychological Association (APA)
Published: 1980-11
Volume: 88
Issue: 3
Pages: 622-637
ISSN: 0033-2909 (ISSN-L)
1939-1455
DOI: 10.1037/0033-2909.88.3.622
OpenAlex: W2102838347
Cited by: 241
References: 21
Citations by year: 2026: 2 · 2025: 5 · 2024: 2 · 2023: 6 · 2022: 6 · 2021: 15 · 2020: 8 · 2019: 8 · 2018: 4 · 2017: 7 · 2016: 9 · 2015: 10 · 2014: 7 · 2013: 11 · 2012: 8
FWCI: 4.94
Type: journal article
Language: en
Open access: closed
Locations: Psychological Bulletin (publishedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: regression to the mean, measurement error, repeated measures

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