Too dense to comprehend—or perfectly packed? The divergent effects of propositional density on levels of text memory

Dados Bibliográficos

ID11273902
AutoresChaimae Harrag (0009-0004-4923-9693, Université Hassan 1er, autor correspondente), Abdelkader Sabil (Université Hassan 1er), Gabriel A Radvansky (0000-0001-7846-839X, University of Notre Dame), Manuel Célio Conceição (0000-0001-8179-5025, University of Algarve)
Ano2025
Volume62
Fascículo5
Páginas347-363
Data de publicação2025-05-28
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoDiscourse Processes (JOURNAL)
Identificadores do periódicoISSN: 0163-853X • E-ISSN: 1532-6950
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0163853x.2025.2494964
OpenAlexW4410038869
IdiomaEN
Citações recebidas1
Referências citadas86

Propositional density, a semantic index, calculates the number of idea units within a sentence. While research has shown that propositional density can influence comprehension, its effects on different levels of memory representation, namely, the surface form, textbase, and situation model, remain unexplored. The current study examined how varying levels of propositional density of the context on which target sentences were embedded affected memory at these different levels of representation. A sample of 120 native English speakers read historical texts with either low or high propositional density and then completed recognition tasks targeting each level. Our results indicated that lower propositional density improved memory for the surface form, while higher density enhanced memory for the textbase. Propositional density had no meaningful effect on the situation model level. These findings suggest a complex relationship between propositional density and memory: Higher density appears to impair memory at the surface form level but may create a desirable difficulty to strengthen memory at the textbase level. However, comprehension, as reflected by the situation model level, remains largely unaffected, suggesting that global comprehension relies more on coherence-building and prior knowledge integration than on local semantic density. These findings inform models of discourse processing and have implications for text design, instructional strategies, and cognitive load management in reading comprehension

Cognitive psychology · Linguistics · Natural language processing · Programming language · Propositional calculus · Propositional variable · Computer Science · Neural and Behavioral Psychology Studies · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Reading and Literacy Development · Artificial Intelligence