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Cited by 316

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Selecting at-risk readers in first grade for early intervention: A two-year longitudinal study of decision rules and procedures.

Compton, Donald L., Fuchs, Douglas, Fuchs, Lynn S., Bryant, Joan D.·2006·Journal of Educational Psychology

Abstract

Response to intervention (RTI) models for identifying learning disabilities rely on the accurate identification of children who, without Tier 2 tutoring, would develop reading disability (RD). This study examined 2 questions concerning the use of 1st-grade data to predict future RD: (a) Does adding initial word identification fluency (WIF) and 5 weeks of WIF progress-monitoring data (WIF-Level and WIF-Slope) to a typical 1st-grade prediction battery improve RD prediction? and (b) Can classification tree analysis improve the prediction accuracy compared to logistic regression? Four classification models based on 206 1st-grade children followed through the end of 2nd grade were evaluated. A combination of initial WIF, WIF-Level, and WIF-Slope and classification tree analysis improved prediction sufficiently to recommend their use with RTI.

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Metadata

Authors
Compton, D. L., Fuchs, D., Fuchs, L. S., & Bryant, J. D.
Venue
Journal of Educational Psychology
Published
2006-05
Volume
98
Issue
2
Pages
394-409
ISSN
  • 0022-0663 (ISSN-L)
  • 1939-2176
OpenAlex
W2162677759
Cited by
316
References
3
FWCI
28.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Selecting at-risk readers in first grade for early intervention: A two-year longitudinal study of decision rules and procedures. https://app.cochat.ai/papers/10.1037/0022-0663.98.2.394
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Compton, D. L., Fuchs, D., Fuchs, L. S., & Bryant, J. D. (2006). Selecting at-risk readers in first grade for early intervention: A two-year longitudinal study of decision rules and procedures. Journal of Educational Psychology. https://doi.org/10.1037/0022-0663.98.2.394

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

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