Abstract. Recent theoretical research posits that a key factor in the development and maintenance of pathological worry is the avoidance of sudden emotional shifts. Recently two self-report instruments were developed to index this phenomenon (Contrast Avoidance Questionnaire – Worry [CAQ-W] and Contrast Avoidance Questionnaire – General Emotion [CAQ-GE]). This work employed a multi-study design to provide an independent evaluation of the latent structure of these measures; additionally, the validity and longitudinal predictive ability of the measures was examined. Findings of the factor analytic work support a two-factor solution for each of the questionnaires. These were defined as the following subscales: CAQ-W: Emotional Contrast; Negative Affect, and for the CAQ-GE: Avoidance; Discomfort. Test-retest reliability of the measure was strong and the identified subscales demonstrated differential predictive ability regarding future worry and depression. Results indicate that subscales related to the experience of negative affect rather than avoidance, display predictive utility of future symptoms. These findings are somewhat discrepant with extant literature on ecological momentary assessment (EMA) assessment of contrast avoidance indicating the need for refinement in the self-report measurement of this construct.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.