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Gain-Loss Message Framing Analysis×Framing Effects Experiment×
TudományterületCommunicationCommunication
MódszercsaládProcess / pipelineProcess / pipeline
Keletkezés éve19971987
MegalkotóRothman & Salovey (health framing synthesis); roots in Kahneman & TverskyIyengar & Kinder (effects tradition); Chong & Druckman (synthesis)
TípusExperiment comparing gain- versus loss-framed persuasive messagesRandomized experiment isolating the causal effect of message frames on attitudes
AlapműRothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3–19. DOI ↗Iyengar, S., & Kinder, D. R. (1987). News That Matters: Television and American Opinion. Chicago: University of Chicago Press. ISBN: 9780226388571
Alternatív nevekMessage framing analysis, Gain-loss framing study, Valence framing experiment, Kazanç-Kayıp Mesaj Çerçeveleme AnaliziFraming experiment, Message framing experiment, Equivalence and emphasis framing experiment, Çerçeveleme Etkisi Deneyi
Kapcsolódó44
ÖsszefoglalóGain-loss message framing analysis is an experimental method for testing whether a persuasive appeal works better when it stresses the benefits of acting (gain frame) or the costs of not acting (loss frame). Grounded in prospect theory and synthesized for health communication by Rothman and Salovey, it predicts that loss frames are more persuasive for risky detection behaviors while gain frames win for safe prevention behaviors.A 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.
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ScholarGateMódszerek összehasonlítása: Gain-Loss Message Framing Analysis · Framing Effects Experiment. Letöltve 2026-06-24, forrás: https://scholargate.app/hu/compare