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The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Kindergarten Prediction of Reading Skills: A Longitudinal Comparative Analysis.

Schatschneider, Christopher, Fletcher, Jack M., Francis, David J., Carlson, Coleen D., Foorman, Barbara R.·2004·Journal of Educational Psychology

Abstract

There is considerable focus in public policy on screening children for reading difficulties. Sixty years of research have not resolved questions of what constructs assessed in kindergarten best predict subsequent reading outcomes. This study assessed the relative importance of multiple measures obtained in a kindergarten sample for the prediction of reading outcomes at the end of 1st and 2nd grades. Analyses revealed that measures of phonological awareness, letter sound knowledge, and naming speed consistently accounted for the unique variance across reading outcomes whereas measures of perceptual skills and oral language and vocabulary did not. These results show that measures of letter name and letter sound knowledge, naming speed, and phonological awareness are good predictors of multiple reading outcomes in Grades 1 and 2.

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Metadata

Authors
Schatschneider, C., Fletcher, J. M., Francis, D. J., Carlson, C. D., & Foorman, B. R.
Venue
Journal of Educational Psychology
Published
2004-06
Volume
96
Issue
2
Pages
265-282
ISSN
  • 0022-0663 (ISSN-L)
  • 1939-2176
OpenAlex
W2026763889
Cited by
833
References
47
FWCI
34.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Kindergarten Prediction of Reading Skills: A Longitudinal Comparative Analysis. https://app.cochat.ai/papers/10.1037/0022-0663.96.2.265
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Schatschneider, C., Fletcher, J. M., Francis, D. J., Carlson, C. D., & Foorman, B. R. (2004). Kindergarten Prediction of Reading Skills: A Longitudinal Comparative Analysis. Journal of Educational Psychology. https://doi.org/10.1037/0022-0663.96.2.265

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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.