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Cited by 881

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Toward an Integrative Science of the Person

Mischel, Walter·2004·Annual Review of Psychology

Abstract

To build a science of the person, the most basic question was, and remains, how can one identify and understand the psychological invariance that distinctively characterizes an individual and that underlies the variations in the thoughts, feelings, and actions that occur across contexts and over time? This question proved particularly difficult because of the discrepancies that soon emerged between the expressions of consistency that were expected and those that were found. The resulting dilemma became known as the classic “personality paradox”: How can we reconcile our intuitions—and theories—about the invariance and stability of personality with the equally compelling empirical evidence for the variability of the person's behavior across diverse situations? Which is right: the intuitions or the research findings? In this chapter I review and discuss some of the advances made to answer this question since it was posed. These findings have allowed a resolution of the paradox, and provide the outlines for a conception of the underlying structure and dynamics of personality that seems to better account for the data.

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Metadata

Authors
Mischel, W.
Venue
Annual Review of Psychology
Published
2004-02-01
Volume
55
Issue
1
Pages
1-22
ISSN
  • 0066-4308 (ISSN-L)
  • 1545-2085
OpenAlex
W2100041989
Cited by
881
References
10
FWCI
7.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward an Integrative Science of the Person. https://app.cochat.ai/papers/10.1146/annurev.psych.55.042902.130709
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Mischel, W. (2004). Toward an Integrative Science of the Person. Annual Review of Psychology. https://doi.org/10.1146/annurev.psych.55.042902.130709

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.