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Regression Toward the Mean and the Study of Change

John R. Nesselroade, +2 more
- 01 Nov 1980 - 
- Vol. 88, Iss: 3, pp 622-637
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This article is published in Psychological Bulletin.The article was published on 1980-11-01. It has received 237 citations till now. The article focuses on the topics: Regression toward the mean.

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The longitudinal course of marital quality and stability: A review of theory, methods, and research.

TL;DR: A model is outlined that integrates the strengths of previous theories of marriage, accounts for established findings, and indicates new directions for research on how marriages change.
Journal ArticleDOI

Latent Variable Modeling of Differences and Changes with Longitudinal Data

TL;DR: This review considers a common question in data analysis: What is the most useful way to analyze longitudinal repeated measures data and presents several classic SEMs based on the inclusion of invariant common factors and why these are so important.
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Enrichment Effects on Adult Cognitive Development: Can the Functional Capacity of Older Adults Be Preserved and Enhanced?

TL;DR: The available evidence suggests that activities can postpone decline, attenuate decline, or provide prosthetic benefit in the face of normative cognitive decline, while at the same time indicating that late-life cognitive changes can result in curtailment of activities.
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Efficacy-Performing Spirals: A Multilevel Perspective

TL;DR: In this article, the authors explore the possibility of efficacy-performance spirals in individuals, groups, and organizations, and consider compositional and cross-level effects by proposing factors that will moderate the relationship between spirals at different levels of analysis.
References
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How we should measure "change": Or should we?

TL;DR: In this article, the Tucker-Damarin-Messick procedure is extended to obtain more precise estimates, and an alternative to the TuckerDamarinMessick Procedure is offered, which solves research and personneldecision problems without estimation of change scores for individuals.
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Correlation and causality

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