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dc.contributor.author
Rouet, Jean-francois  
dc.contributor.author
Saux, Gaston Ignacio  
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Ros, Christine  
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Stadtler, Marc  
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Vibert, Nicolas  
dc.contributor.author
Britt, M. Anne  
dc.date.available
2022-09-15T13:03:24Z  
dc.date.issued
2020-05  
dc.identifier.citation
Rouet, Jean-francois; Saux, Gaston Ignacio; Ros, Christine; Stadtler, Marc; Vibert, Nicolas; et al.; Inside document models: role of source attributes in readers’ integration of multiple text contents; Taylor & Francis; Discourse Processes; 58; 1; 5-2020; 60-79  
dc.identifier.issn
0163-853X  
dc.identifier.uri
http://hdl.handle.net/11336/168885  
dc.description.abstract
Text comprehension involves the ability to understand how texts relate to the situation they describe and to each other (i.e., a Document model). Research into Document models has emphasized the role of information sources in structuring readers’ mental models of situations. The present article reviews research on source comprehension and examines new hypotheses regarding source encoding during text comprehension. Two experiments examined college students’ evaluation and recognition of two embedded sources as a function of the consistency of their statements (Experiments 1 and 2) and the demands of the reading task (Experiment 2). Sources were introduced either with a knowledge feature (e.g., how the source knew what they knew) or a control feature. Readers were more likely to select the knowledgeable source as more competent and to justify their selection by referring to the knowledge feature (Experiment 1). Experiment 2 found that readers’ preference for knowledgeable sources was stronger when the content statements were discrepant. Preference for knowledgeable sources was also stronger when the task focused on source knowledge, as compared to a control evaluation task or a baseline reading task. The source knowledge evaluation task distinctively enhanced participants’ integration of the source designations with their respective statements, as compared to the control and baseline conditions. Results are discussed in light of current theories of single and multiple document comprehension.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
SOURCE FEATURE  
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EVALUATION  
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DISCREPANCY  
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TASK  
dc.subject.classification
Psicología  
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Psicología  
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CIENCIAS SOCIALES  
dc.title
Inside document models: role of source attributes in readers’ integration of multiple text contents  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-09-14T14:17:01Z  
dc.identifier.eissn
1532-6950  
dc.journal.volume
58  
dc.journal.number
1  
dc.journal.pagination
60-79  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Rouet, Jean-francois. Centre National de la Recherche Scientifique; Francia. Université de Poitiers; Francia  
dc.description.fil
Fil: Saux, Gaston Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires". Facultad de Psicología y Psicopedagogía. Centro de Investigaciones en Psicología y Psicopedagogía; Argentina  
dc.description.fil
Fil: Ros, Christine. Centre National de la Recherche Scientifique; Francia. Université de Poitiers; Francia  
dc.description.fil
Fil: Stadtler, Marc. Ruhr Universität Bochum; Alemania  
dc.description.fil
Fil: Vibert, Nicolas. Centre National de la Recherche Scientifique; Francia. Université de Poitiers; Francia  
dc.description.fil
Fil: Britt, M. Anne. Northern Illinois University; Estados Unidos  
dc.journal.title
Discourse Processes  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/0163853X.2020.1750246  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/0163853X.2020.1750246