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Cited by 366

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Resilience: Enhancing well-being through the positive cognitive triad.

Mak, Winnie W. S., Ng, Ivy S. W., Wong, Celia C. Y.·2011·Journal of Counseling Psychology

Abstract

The present study tested whether the relationships among resilience, life satisfaction, and depression could be explained by positive views toward the self, the world, and the future (positive cognitive triad). Structural equation modeling and mediation analyses were conducted based on 1,419 college students in Hong Kong. The model of positive cognitive triad as mediator between resilience and well-being fit the data (comparative fit index = .94, Tucker-Lewis index = .93, root-mean-square error of approximation = .08). Findings showed resilience to be significantly related to positive cognitions about the self, the world, and the future. Individuals who had higher level of resilience held significantly more positive cognitions and reported significantly higher levels of life satisfaction and lower levels of depression. The utility of the positive cognitive triad as the mechanism through which resilience enhances well-being was supported. Applications in cultivating resilience and positive cognitions in counseling services are discussed.

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Metadata

Authors
Mak, W. W. S., Ng, I. S. W., & Wong, C. C. Y.
Venue
Journal of Counseling Psychology
Published
2011-10
Volume
58
Issue
4
Pages
610-617
ISSN
  • 0022-0167 (ISSN-L)
  • 1939-2168
OpenAlex
W1968300674
Cited by
366
References
63
FWCI
10.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resilience: Enhancing well-being through the positive cognitive triad. https://app.cochat.ai/papers/10.1037/a0025195
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Mak, W. W. S., Ng, I. S. W., & Wong, C. C. Y. (2011). Resilience: Enhancing well-being through the positive cognitive triad. Journal of Counseling Psychology. https://doi.org/10.1037/a0025195

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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.