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Predictive Inference Generation as a Function of Working Memory Capacity and Causal Text Constraints

Bibliographic Data

ID11273039
AuthorsTracy Linderholm (University of Florida, corresponding author)
Year2002
Volume34
Issue3
Pages259-280
Publication date2002-11-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDiscourse Processes (JOURNAL)
Journal identifiersISSN: 0163-853X • E-ISSN: 1532-6950
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15326950dp3403_2
OpenAlexW2056724036
LanguageEN
Citations received22
References cited24

Two factors that affect the predictive inferential process are examined: the working memory (WM) capacity of the reader and causal text constraints. A naming task was used in Experiment 1 to investigate predictive inferences that were based on texts containing low, moderate, and high causal sufficiency events at 2 time delays (250 and 500 ms). The results indicated that high WM capacity readers make predictive inferences when texts contain high causal sufficiency events, at both time delays, as evidenced by naming time differences between high-low and high-moderate causal sufficiency conditions. There is no evidence that low WM capacity readers make predictive inferences at either time delay. In Experiment 2, reading times for target sentences that either confirmed or contradicted predictive inferences in low, moderate, and high causal sufficiency conditions were collected. The results showed that high WM capacity readers make predictive inferences when causal sufficiency is high and target sentences confirmatory and that both low and high WM capacity readers make predictive inferences based on the comparison between high causal sufficiency texts in the confirmatory versus contradictory conditions. Thus, both experiments demonstrate that generating predictive inferences is a demanding process that requires a certain amount of WM resources and causal text constraints

Causal inference · Cognition · Cognitive psychology · Econometrics · Inference · Task (project management · Working memory · Computer Science · Intelligent Tutoring Systems and Adaptive Learning · Mathematics · Neurobiology of Language and Bilingualism · Psychology · Reading and Literacy Development · Artificial Intelligence

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Unique citing works22
Citations per year1
Citation span2004 - 2026 (23)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 22

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