Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Eye-Tracking in Media Research× | Elaboration Likelihood Analysis× | |
|---|---|---|
| Fagfelt | Communication | Communication |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2011 | 1986 |
| Opphavsperson≠ | Eye-tracking methodology (Holmqvist et al.); media-research adaptation | Richard Petty & John Cacioppo |
| Type≠ | Behavioral measurement of visual attention to media stimuli | Dual-process experimental analysis of attitude change |
| Opprinnelig kilde≠ | Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & van de Weijer, J. (2011). Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford: Oxford University Press. ISBN: 9780199697083 | Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1–24). New York: Springer. DOI ↗ |
| Alias | Media eye-tracking, Gaze tracking for media, Visual attention tracking, Medya Araştırmalarında Göz İzleme | ELM analysis, Dual-process persuasion experiment, Central and peripheral route analysis, Ayrıntılandırma Olasılığı Modeli Analizi |
| Relaterte | 4 | 4 |
| Sammendrag≠ | Eye-tracking measures where, when, and for how long people look at media, providing a moment-by-moment record of visual attention that self-report cannot capture. By recording fixations and saccades and aggregating them over defined areas of interest, communication researchers infer what in an advertisement, news page, website, or video draws attention and how visual processing unfolds. | 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. |
| ScholarGateDatasett ↗ |
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