Reading Comprehension Research: Implications for Practice and Policy
Elleman, A. M., & Oslund, E. L. · 2019
grade Dreviewindependentnot-applicable
Sample
Narrative review
Population
School-age readers (synthesis across ages); US.
Design
Narrative/theoretical review (simple-view and DIME models). Component predictors are largely correlational/SEM, so causal weight is limited.
Key findings
Consensus map of what covaries with comprehension: once decoding is adequate, language comprehension - vocabulary, inference, background knowledge - dominates. Establishes instructional TARGETS, not causal levers; predictor rankings are correlational and presumptively confounded.
Genetic confound
High for its predictor claims: vocabulary/knowledge/inference-comprehension associations are cross-sectionally confounded by g and passive rGE.
Replication notes
Predictor hierarchy is a stable correlational finding; causal translation remains weak. Framing source, not causal evidence.
DOI / URL
10.1177/2372732218816339
Effects
| Outcome | Metric | Value | Measure | Timing | Vs | Horizon | Class |
|---|---|---|---|---|---|---|---|
| Comprehension predictor hierarchy | rank (correlational) | vocabulary > inference/background knowledge > decoding (upper grades) | mixed | cross-sectional | none | not-applicable | domain-skill |
Cited by
- Background knowledge and vocabulary as drivers of reading comprehensionmoderate supportconf: mediumgc: low