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What can specificity designs say about causality in psychopathology research?
Abstract
Specificity designs in psychopathology research are used to examine whether a variable is unique to a given disorder. When nonspecificity is observed, it typically is assumed that the variable in question is not a cause of the disorder, but is instead a nonspecific consequence of general psychopathology. Such reasoning is flawed, however, because it fails to distinguish between testing a particular causal model containing the variable versus testing the causal status of the particular variable within the model. A variable may be nonspecific, but still causal, if it is one of several multiple interacting causes or if a nosological error has been made. A recognition of these complexities has implications for the nature of the psychopathology control group selected.
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“Although there is evidence that IU is more strongly associated with GAD severity compared with other anxiety disorders (Dugas et al., 2001), accumulating evidence brings into question IU's narrow specificity (Garber & Hollon, 1991) to GAD.”
From Intolerance of Uncertainty: A Common Factor in the Treatment of Emotional Disorders (2013) · cites this paper as Garber & Hollon, 1991
In the citing paper
“When taken as a whole, this study's results are consistent with emerging evidence questioning the “narrow” specificity of IU to GAD (see Garber & Hollon, 1991).”
From Intolerance of Uncertainty: A Common Factor in the Treatment of Emotional Disorders (2013) · cites this paper as Garber & Hollon, 1991
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Metadata
- Authors
- Garber, J., & Hollon, S. D.
- Affiliations
- Vanderbilt University (US)
- Venue
- Psychological Bulletin
- Published
- 1991
- Volume
- 110
- Issue
- 1
- Pages
- 129-136
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2024035006
- Cited by
- 233
- References
- 33
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 5 · 2023: 8 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 6 · 2018: 5 · 2017: 2 · 2016: 5 · 2015: 9 · 2014: 6 · 2013: 8 · 2012: 7
- FWCI
- 17.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- non-specificity, causality, psychopathology, causal models, disease classification, control groups
- MeSH terms
- Mental Disorders, Depressive Disorder, Humans, Models, Psychological, Psychopathology, Risk Factors
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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