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Framing Effects Experiment×Elaboration Likelihood Analysis×
DziedzinaCommunicationCommunication
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19871986
TwórcaIyengar & Kinder (effects tradition); Chong & Druckman (synthesis)Richard Petty & John Cacioppo
TypRandomized experiment isolating the causal effect of message frames on attitudesDual-process experimental analysis of attitude change
Źródło pierwotneIyengar, S., & Kinder, D. R. (1987). News That Matters: Television and American Opinion. Chicago: University of Chicago Press. ISBN: 9780226388571Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1–24). New York: Springer. DOI ↗
Inne nazwyFraming experiment, Message framing experiment, Equivalence and emphasis framing experiment, Çerçeveleme Etkisi DeneyiELM analysis, Dual-process persuasion experiment, Central and peripheral route analysis, Ayrıntılandırma Olasılığı Modeli Analizi
Pokrewne44
PodsumowanieA framing effects experiment is a randomized design that isolates the causal impact of how a message is framed — which considerations it emphasizes — on people's attitudes, judgments, or behavior. By randomly assigning participants to read otherwise comparable messages that differ only in their frame, it provides the causal counterpart to the descriptive framing analysis of media content.Elaboration likelihood analysis applies Petty and Cacioppo's 1986 Elaboration Likelihood Model (ELM) to study persuasion through experiments that cross message argument quality with peripheral cues under varying levels of audience motivation and ability to think. It identifies whether attitude change travels the central route — effortful scrutiny of arguments — or the peripheral route, reliance on simple cues like source attractiveness or message length.
ScholarGateZbiór danych
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  3. PUBLISHED
  1. v1
  2. 2 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Framing Effects Experiment · Elaboration Likelihood Analysis. Pobrano 2026-06-24 z https://scholargate.app/pl/compare