The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Prediction of Reading Comprehension: Relative Contributions of Word Recognition, Language Proficiency, and Other Cognitive Skills Can Depend on How Comprehension Is Measured
Abstract
Reading comprehension scores from the Wechsler Individual Achievement Tests, the Gates-MacGinitie Reading Test, and the Gray Oral Reading Test were examined in relation to measures of reading, language, and other cognitive skills that have been hypothesized to contribute to comprehension and account for comprehension differences. In a sample of 97 first through tenth graders, the relative contributions of word recognition/decoding and oral language skills to comprehension varied from test to test. The inclusion of reading speed accounted for additional variance, but prediction of comprehension scores was minimally improved by including measures of rapid serial naming, verbal memory, IQ, or attention. The findings suggest that commonly used tests of reading comprehension, such as the three we compared, may not tap the same array of cognitive processes. Implications for research and practice are discussed.
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Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,867
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,988
Individual differences in working memory and reading
Daneman, M., & Carpenter, P. A. (1980) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(80)90312-6 · Cited by 6,336
Kaplan, E., Goodglass, H., Weıntraub, S., & Segal, O. (2001) · Medical Entomology and Zoology · Cited by 4,378
Beginning to Read: Thinking and Learning about Print
Cairns, C., & Adams, M. J. (1991) · Language · doi:10.2307/415121 · Cited by 4,376
Decoding, reading, and reading disability.
Gough, P. B., & Tunmer, W. E. (1986) · Remedial and Special Education · doi:10.1177/074193258600700104 · Cited by 3,972
Toward a theory of automatic information processing in reading
LaBerge, D., & Samuels, S. J. (1974) · Cognitive Psychology · doi:10.1016/0010-0285(74)90015-2 · Cited by 3,841
Hoover, W. A., & Gough, P. B. (1990) · Reading and Writing · doi:10.1007/bf00401799 · Cited by 2,956
Learning to read and write: A longitudinal study of 54 children from first through fourth grades.
Juel, C. (1988) · Journal of Educational Psychology · doi:10.1037/0022-0663.80.4.437 · Cited by 1,925
Oral language and code-related precursors to reading: Evidence from a longitudinal structural model.
Bracken, S. S., & Whitehurst, G. J. “. (2002) · Developmental Psychology · doi:10.1037//0012-1649.38.6.934 · Cited by 1,692
Cited by
Keenan, J. M., Betjemann, R. S., & Olson, R. K. (2008) · Scientific Studies of Reading · doi:10.1080/10888430802132279 · Cited by 668
The Science of Reading Progresses: Communicating Advances Beyond the Simple View of Reading
Duke, N. K., & Cartwright, K. B. (2021) · Reading Research Quarterly · doi:10.1002/rrq.411 · Cited by 510
The Simple View of Reading: Is It Valid for Different Types of Alphabetic Orthographies?
Florit, E., & Cain, K. (2011) · Educational Psychology Review · doi:10.1007/s10648-011-9175-6 · Cited by 406
Kieffer, M. J., & Lesaux, N. K. (2008) · Reading and Writing · doi:10.1007/s11145-007-9092-8 · Cited by 326
Eason, S. H., Goldberg, L. F., Young, K. M., Geist, M. C., & Cutting, L. E. (2012) · Journal of Educational Psychology · doi:10.1037/a0027182 · Cited by 229
Self-citation
Metadata
- Authors
- Cutting, L. E., & Scarborough, H. S.
- Venue
- Scientific Studies of Reading
- Publisher
- Informa UK Limited
- Published
- 2006-07
- Volume
- 10
- Issue
- 3
- Pages
- 277-299
- ISSN
- 1088-8438 (ISSN-L)
- 1532-799X
- OpenAlex
- W2074703312
- Cited by
- 678
- References
- 61
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- closed
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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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