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Testing and refining the direct and inferential mediation model of reading comprehension.
562
Citations
85
References
2007
Year
Dime ModelLanguage DevelopmentEducationCognitionPsycholinguisticsLanguage LearningPsychologyChild LiteracyReading ComprehensionLanguage TestingCognitive DevelopmentLanguage AcquisitionReadingSignificant ProportionLanguage StudiesCognitive FactorSpecific Learning DisorderCognitive ScienceInferential MediationLiteracySpecial EducationLanguage ComprehensionReading Comprehension StrategiesInferential Mediation Model
A significant proportion of American high‑school students struggle with reading comprehension, and theoretical models can identify key contributing variables. The study proposes the direct and inferential mediation (DIME) model, hypothesizing relationships among background knowledge, inferences, reading comprehension strategies, vocabulary, and word reading to explain comprehension. The authors tested the DIME model and three variations using data from 175 ninth‑grade students, assessing model fit. The DIME model explained 66 % of comprehension variance, with vocabulary and background knowledge contributing most, and low‑scoring students showing deficits across all measures, suggesting targeted interventions.
A significant proportion of American high school students struggle with reading comprehension. Theoretical models of reading comprehension might help researchers understand these difficulties, because they can point to variables that make the largest contributions to comprehension. On the basis of an extensive review of the literature, we created a new model of reading comprehension, the direct and inferential mediation (DIME) model. The model hypothesizes relationships among background knowledge, inferences, reading comprehension strategies, vocabulary, and word reading and addresses the direct and mediated effects of these 5 predictors on comprehension. The authors tested the fit of the model and 3 variations of the model to data from 175 students in 9th grade. The DIME model explained 66% of the variance in comprehension. Vocabulary and background knowledge made the largest contributions to comprehension, followed by inference, word reading, and strategies. Analyses of participants scoring below the 30th percentile on comprehension showed these students to have low scores on all of the measures. The authors suggest that vocabulary and background knowledge interventions might be the best way to begin improving the academic reading comprehension of students like those in the sample.
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