The value of suppressor effects in explicating the construct validity of symptom measures.
Open accessAbstract
Suppressor effects are operating when the addition of a predictor increases the predictive power of another variable. We argue that suppressor effects can play a valuable role in explicating the construct validity of symptom measures by bringing into clearer focus opposing elements that are inherent--but largely hidden--in the measure's overall score. We illustrate this point using theoretically grounded, replicated suppressor effects that have emerged in analyses of the original Inventory of Depression and Anxiety Symptoms (IDAS; Watson et al., 2007) and its expanded 2nd version (IDAS-II; Watson et al., 2012). In Study 1, we demonstrate that the IDAS-II Appetite Gain and Appetite Loss scales contain both (a) a shared distress component that creates a positive correlation between them and (b) a specific symptom component that produces a natural negative association between them (i.e., people who recently have experienced decreased interest in food/loss of appetite are less likely to report a concomitant increase in appetite/weight). In Study 2, we establish that mania scales also contain 2 distinct elements-namely, high energy/positive emotionality and general distress/dysfunction-that oppose each another in many instances. In both studies, we obtained evidence of suppression effects that were highly robust across different types of respondents (e.g., clinical outpatients, community adults, college students) and using both self-report and interview-based measures. These replicable suppressor effects establish that many homogeneous, unidimensional symptom scales actually contain distinguishable components with distinct--at times, even antagonistic--properties.
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The negative association may be explained by the presence of a suppression effect.
“This may be explained by the presence of a suppression effect [82], which occurs when an independent variable contributes significantly to the tested model despite weak initial association with the dependant variable, i.e. despite being a weak predictor on its own.”
From “It’s not you, it’s me”: identity disturbance as the main contributor to interpersonal problems in pathological narcissism (2023) · cites this paper as [82]
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“This may be explained by the presence of a suppression effect [82], which occurs when an independent variable contributes significantly to the tested model despite weak initial association with the dependant variable, i.”
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Self-citation
- Authors
- Watson, D., Clark, L. A., Chmielewski, M., & Kotov, R.
- Affiliations
- University of Notre Dame (US)
- Southern Methodist University (US)
- Stony Brook University (US)
- Corresponding author
- Watson, David
- Venue
- Psychological Assessment
- Published
- 2013-09
- Volume
- 25
- Issue
- 3
- Pages
- 929-941
- ISSN
- 1040-3590 (ISSN-L)
- 1939-134X
- PMC
- PMC3780394
- OpenAlex
- W2332426242
- Cited by
- 176
- References
- 10
- Citations by year
- 2026: 26 · 2025: 14 · 2024: 18 · 2023: 13 · 2022: 22 · 2021: 26 · 2020: 14 · 2019: 11 · 2018: 8 · 2017: 7 · 2016: 5 · 2015: 6 · 2014: 5
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychological Assessment (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01-MH068472)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- suppressor effect, construct validity, symptom measures, appetite loss, scale structure, unidimensional scale, depression, anxiety, bipolar disorder
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Anxiety, Feeding and Eating Disorders, Bipolar Disorder, Depression, Female, Humans, Interviews as Topic, Male, Middle Aged, Models, Theoretical, Psychiatric Status Rating Scales, Reproducibility of Results, Young Adult, Self Report
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