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The Mental Representation of Narrative Texts as Networks

The Role of Necessity and Sufficiency in the Detection of Different Types of Causal Relations

Bibliographic Data

ID11272947
AuthorsIsabelle Tapiero (0000-0001-9094-8601, corresponding author), Paul Van Den Broek (0000-0001-9058-721X), Marie-Pilar Quintana, M E Martínez Quintana
Year2002
Volume34
Issue3
Pages237-258
Publication date2002-11-01
Open AccessNo
TypeARTICLE
VenueDiscourse Processes (JOURNAL)
Journal identifiersISSN: 0163-853X • E-ISSN: 1532-6950
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15326950dp3403_1
OpenAlexW2072234489
LanguageEN
Citations received8
References cited14

The purpose of this study is to determine how the perceived strength of 4 types of causal relations (physical causality, motivation, psychological causation, and enablement) is affected by causal properties (i.e., necessity and sufficiency) and by distance in the text surface structure. Participants evaluated the strength of the relations between pairs of sentences extracted from narratives either without reading the narratives, or with one or two readings of the narratives. The pairs varied in necessity and sufficiency as well as in the type of causal relation and were either adjacent or nonadjacent in the text surface structure. The criteria of necessity and sufficiency were used to identify the causal inferences connecting the statements as well as to determine their strength. As predicted, causal properties and distance in the text surface structure between the cause and its consequence systematically affected the causal strengths of the relations between text statements. Also, during reading, participants detected both adjacent and nonadjacent causal relations. A 2nd reading tends to strengthen the connections for adjacent pairs only

Causal structure · Causality (physics · Causation · Cognition · Cognitive psychology · Data mining · Epistemology · Linguistics · Mental representation · Narrative · Narrative structure · Political science · Reading (process · Relation (database · Representation (politics · Child and Animal Learning Development · Computer Science · Educational Strategies and Epistemologies · Philosophy · Psychology · Reading and Literacy Development · Social Psychology

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    Open Access•Judy R Kupersmitt, Sharon Armon-Lotem•First Language•2019

  • An analysis of causal asyndetic constructions in United States history textbooks

    Open Access•Jason Fitzgerald, Jason C Fitzgerald•Functional Linguistics•2014

  • The development of coherence and cohesion in monolingual and sequential bilingual children’s narratives

    Judy R Kupersmitt, Judy Kupersmitt et al.•Narrative Inquiry•2014

  • Evidence‐Based Strategies for Improving the Reading Comprehension of Secondary Students

    Open Access•Silvana M R Watson, Robert A Gable et al.•Learning Disabilities Research &…•2012

  • Reading Skill Moderates the Impact of Semantic Similarity and Causal Specificity on the Coherence of Explanations

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  • The Influence of Sourcing and Relatedness on Event Integration

    Hyun-Jeong Joyce Kim, Keith Millis•Discourse Processes•2006

  • Do Readers Remember What Story Characters Remember

    Kenneth J Houghton, Celia M Klin•Discourse Processes•2020

  • Levels of Reading Comprehension Across Text Types

    Open Access•Mahmood Saadatnia, Saeed Ketabi et al.•Journal of Psycholinguistic…•2017

  • Causal thinking and the representation of narrative events

    Open Access•Tom Trabasso, Paul Van Den Broek•Journal of Memory and Language•1985

  • Remembrance of things parsed

    Open Access•Jean M Mandler, Nancy S Johnson et al.•Cognitive Psychology•1977

  • PsyScope

    Open Access•Jonathan Cohen, Brian Macwhinney et al.•Behavior Research Methods,…•1993

  • Network representations of causal relations in memory for narrative texts

    Paul Van Den Broek, Robert F Lorch•Discourse Processes•1993

  • Logical necessity and transitivity of causal relations in stories

    Tom Trabasso, Paul Van Den Broek et al.•Discourse Processes•1989

  • Story understanding as problem-solving

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Citations per year0.4
Citation span2006 - 2020 (15)
Highly citedNo

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