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The Prediction of College Course Performance From Reading Comprehension Performance

Evidence for General and Specific Prediction Factors

Bibliographic Data

ID8224312
AuthorsJames M Royer (University of Massachusetts, corresponding author), Horace G Marchant (Westfield State University), Gale M Sinatra (0000-0002-6545-587X, University of Massachusetts), David A Lovejoy (0000-0003-4904-9051, Westfield State University)
Year1990
Volume27
Issue1
Pages158-179
Publication date1990-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Educational Research Journal (JOURNAL)
Journal identifiersISSN: 0002-8312 • E-ISSN: 1935-1011
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/00028312027001158
OpenAlexW2166516341
LanguageEN
Citations received3
References cited11

Recent theories of comprehension and learning have grown so similar that it is difficult to tell one from another. An implication of this similarity is that it should be possible to devise one type of comprehension test that can predict learning performance in general and another type of comprehension test that can predict specific types of learning. Two experiments are reported that confirm these implications. In Experiment 1, comprehension tests accounted for up to 36% of the variance in overall college performance and up to 30% of the variance in specific course performance. Experiment 2, which used a different type of comprehension test, showed that the test predicted performance in a specific course but did not predict overall college performance. We discuss the theoretical and practical implications of these findings

Cognitive psychology · Comprehension · Linguistics · Mathematics education · Natural language processing · Reading (process · Reading comprehension · Similarity (geometry · Test (biology · Variance (accounting · Artificial Intelligence · Computer Science · Educational Strategies and Epistemologies · Psychology · Reading and Literacy Development

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Unique citing works3
Citations per year0,5
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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