Cognitive vulnerability to depression: A taxometric analysis
Abstract
Although there is increasing support for the hypothesis that negative cognitive styles contribute vulnerability to depression, it remains unclear how best to conceptualize the heterogeneity in cognitive vulnerability to depression. Specifically, does this heterogeneity reflect quantitative or qualitative differences among individuals? The goal of this study was to address this question by examining whether the underlying structure of cognitive vulnerability to depression is best conceptualized as dimensional or categorical. Taxometric analyses provided consistent support for the dimensional nature of negative cognitive styles. It appears, therefore, that cognitive vulnerability to depression is best conceptualized as a dimensional construct, present to a greater or lesser extent in all individuals. Despite this, the strength of the relationship between negative cognitive styles and depressive symptoms does appear to vary as a function of where along the cognitive style continuum one falls.
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Only one taxometric study exists examining the latent structure of cognitive vulnerability to depression (Gibb et al., 2004), and it found evidence of dimensionality.
“Yet, only one taxometric study exists examining the latent structure of cognitive vulnerability to depression (Gibb, Alloy, Abramson, Beevers, & Miller, 2004), finding evidence of dimensionality.”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Gibb et al., 2004
It cannot be assumed that evidence of dimensionality in adults (Gibb et al., 2004) is generalizable to adolescents, given developmental differences in cognitive vulnerability.
“Given developmental differences in cognitive vulnerability, it cannot be assumed that evidence of dimensionality in adults (Gibb et al., 2004) is generalizable to adolescents.”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Gibb et al., 2004
The current findings are consistent with those reported in an earlier taxometric investigation with an adult sample drawing on self-report measures (Gibb et al., 2004).
“These findings are consistent with those reported in an earlier taxometric investigation with an adult sample drawing on self-report measures (Gibb et al., 2004).”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Gibb et al., 2004
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- Authors
- Gibb, B. E., Alloy, L. B., Abramson, L. Y., Beevers, C. G., & Miller, I. W.
- Affiliations
- Binghamton University (US)
- Temple University (US)
- University of Wisconsin–Madison (US)
- Brown University (US)
- Venue
- Journal of Abnormal Psychology
- Published
- 2004-02
- Volume
- 113
- Issue
- 1
- Pages
- 81-89
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- OpenAlex
- W1980083984
- Cited by
- 60
- References
- 45
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 3 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 6 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 1
- FWCI
- 5.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01mh044779-04)
- National Institute of Mental Health (MH43866, MH48216, MH58866, MH 44779, R01MH058866)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- cognitive vulnerability to depression, negative cognitive style, depressive symptoms, taxometric analysis
- MeSH terms
- Adult, Cognition Disorders, Depression, Female, Humans, Male, Psychopathology, Surveys and Questionnaires
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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