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Cited by 288

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Further Evidence That Psychological Reactance Can Be Modeled as a Combination of Anger and Negative Cognitions

Quick, Brian L., Stephenson, Michael T.·2007·Communication Research

Abstract

The primary objective of this investigation was to validate the recent operationalization of state reactance as a latent construct comprised of both affective and cognitive components. In addition to testing the operationalization of reactance, the authors tested the conceptual coherence of this construct by examining its association with threat-to-choice perceptions and ad persuasiveness of condom ads. Across seven condom television ads, the authors found evidence in support of treating reactance as a latent variable comprised of negative cognitions and state anger. An invariance test demonstrated that both of these variables loaded on reactance equivalently across all seven ads. In addition, results indicate that threat-to-choice perceptions are positively associated with reactance, thus providing conceptual consistency of this operationalization with Brehm's explication of reactance. Furthermore, the authors found evidence suggesting a negative association between ad persuasiveness with reactance and threat-to-choice perceptions.

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Metadata

Authors
Quick, B. L., & Stephenson, M. T.
Venue
Communication Research
Published
2007-06
Volume
34
Issue
3
Pages
255-276
ISSN
  • 0093-6502 (ISSN-L)
  • 1552-3810
OpenAlex
W2094401981
Cited by
288
References
45
FWCI
11.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Further Evidence That Psychological Reactance Can Be Modeled as a Combination of Anger and Negative Cognitions. https://app.cochat.ai/papers/10.1177/0093650207300427
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Quick, B. L., & Stephenson, M. T. (2007). Further Evidence That Psychological Reactance Can Be Modeled as a Combination of Anger and Negative Cognitions. Communication Research. https://doi.org/10.1177/0093650207300427

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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.