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Communication Quarterly Volume 61, 2013 - Issue 4
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Original Articles

Modeling the Effects of Processing Effort and Ability in Response to Persuasive Message Arguments

Christopher J. Carpenter Department of Communication, Western Illinois UniversityCorrespondence[email protected]
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Franklin J. Boster Department of Communication, Michigan State UniversityView further author information
Pages 413-430 | Published online: 22 Aug 2013

Citations (8)

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Read on this site (4)

Sara Shoffner & Gi-Yong Koo. (2022) Examining the Effects of Unhealthy Product Sponsors and CSR on Sport Sponsorship Authenticity and the Sporting Event. Journal of Global Sport Management 7:4, pages 595-614.
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Rain Wuyu Liu, Ying Cheng, Franklin J. Boster & Clint Townson. (2022) The Suasory Force of Sticky Messages: A Replication and Extension. Western Journal of Communication 86:3, pages 297-320.
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Hyunjin Song, Petro Tolochko & Hajo G. Boomgaarden. (2022) What you expect is (not) what you get: the impact of initial and post-hoc judgments of message characteristics on political information recall. Media Psychology 25:1, pages 128-154.
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Franklin J. Boster, Rain Wuyu Liu, Ying Cheng, Wonkyung Kim & Sonia Jawaid Shaikh. (2018) The Suasory Force of Sticky Messages: An Application to the Application of Sunscreen. Communication Studies 69:1, pages 4-22.
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Articles from other publishers (4)

Taewon Suh & Masoud Moradi. (2023) Transferring in-store experience to online: An omnichannel strategy for DIY customers’ enhanced brand resonance and co-creative actions. Journal of Business Research 168, pages 114237.
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Jiyeon So & Jiaying Liu. (2023) The role of audience favorability in processing (un)familiar messages: a heuristic-systematic model perspective. Human Communication Research 49:4, pages 383-395.
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Olivia M. Bullock, Daniel Colón Amill, Hillary C. Shulman & Graham N. Dixon. (2019) Jargon as a barrier to effective science communication: Evidence from metacognition. Public Understanding of Science 28:7, pages 845-853.
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Christopher J. Carpenter. (2015) A Meta-Analysis of the ELM's Argument Quality × Processing Type Predictions. Human Communication Research 41:4, pages 501-534.
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