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The influence of thinking dispositions on integration and recall of multiple texts

Abstract: We investigated the association between thinking dispositions and two outcomes of multiple-texts comprehension: integration of conflicting information in argumentative essays; and recall of inferential information as an index of deep comprehension.We focused on two thinking dispositions, need for cognition (NFC) and actively open-minded thinking (AOT), as relevant individual differences in the processes involved in multiple-texts comprehension.NFCis the tendency toengagein andenjoy cognitivelydemanding activities, whereas AOT is the tendency to rationally evaluate arguments and supporting evidence, without being influenced by biases from one?s own prior beliefs and prior knowledge. 73 university students completed perceived topic knowledge, perceived exposure to argumentative writing, and perceived competence in argumentative writing, NFC and AOT questionnaires, read two contradictory texts, wrote an argumentative essay, and recalled the information read 1 month later. Argumentative essayswere assessed by length and level of integration of conflicting perspective. Text recalls were assessed by number of valid inferences included. Research questions were investigated through a path analysis model. The path analysis model had a good fit. NFC was indirectly associated with argumentation quality of the essay via the essay length.AOTwas directly associated with the inferences included in the recall task. The present study contributes to the literature on multiple-texts comprehension by emphasizing the role of thinking dispositions

 Autoría: Tarchi C., Villalón R.,

 Fuente: British Journal of Educational Psychology, 2021, 91, 1498-1516

 Editorial: John Wiley & Sons

 Año de publicación: 2021

 Nº de páginas: 19

 Tipo de publicación: Artículo de Revista

 DOI: 10.1111/bjep.12432

 ISSN: 0007-0998,2044-8279

 Url de la publicación: https://bpspsychub.onlinelibrary.wiley.com/doi/full/10.1111/bjep.12432

Autoría

TARCHI, CHRISTIAN