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Cited by 682

The DOI matches its OpenAlex record; 2 of the 2 references it cites were found in a registry or an index.

Frameworks for Comprehending Discourse

Open access
Richard C. Anderson, Ralph E. Reynolds, Diane Lemonnier Schallert, Ernest T. Goetz·1977·American Educational Research Journal

Abstract

Thirty physical education students and 30 music education students read a passage that could be given either a prison break or a wrestling interpretation, and another passage that could be understood in terms of an evening of card playing or a rehearsal session of a woodwind ensemble. Scores on disambiguating multiple choice tests and theme-revealing disambiguations and intrusions in free recall showed striking relationships to the subject’s background. These results indicate that high-level schemata provide the interpretative framework for comprehending discourse. The fact that most subjects gave each passage one distinct interpretation or another and reported being unaware of other perspectives while reading suggest that schemata can cause a person to see a message in a certain way, without even considering alternative interpretations.

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OpenAlex · 10.2307/1162336

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Metadata

Authors
Anderson, R. C., Reynolds, R. E., Schallert, D. L., & Goetz, E. T.
Venue
American Educational Research Journal
Publisher
SAGE Publishing
Published
1977-01-01
Volume
14
Issue
4
Pages
367-367
ISSN
0002-8312 (ISSN-L)
OpenAlex
W2092723856
Cited by
682
References
2
FWCI
31.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Frameworks for Comprehending Discourse. https://app.cochat.ai/papers/10.2307/1162336
The paper
Anderson, R. C., Reynolds, R. E., Schallert, D. L., & Goetz, E. T. (1977). Frameworks for Comprehending Discourse. American Educational Research Journal. https://doi.org/10.2307/1162336

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.