The Importance and Decision-Making Utility of a Continuum of Fluency-Based Indicators of Foundational Reading Skills for Third-Grade High-Stakes Outcomes
Abstract
Educational accountability and its counterpart, high-stakes assessment, are at the forefront of the educational agenda in this era of standards-based reform. In this article, we examine assessment and accountability in the context of a prevention-oriented assessment and intervention system designed to assess early reading progress formatively. Specifically, we explore the utility of a continuum of fluency-based indicators of foundational early literacy skills to predict reading outcomes, to inform educational decisions, and to change reading outcomes for students at risk of reading difficulty. First, we address the accountability era, discuss the promise of prevention-oriented assessment, and outline a continuum of fluency-based indicators of foundational reading skills using Dynamic Indicators of Basic Early Literacy Skills and Curriculum-Based Measurement Oral Reading Fluency. Next, we describe a series of linked, short-term, longitudinal studies of 4 cohorts examining the utility and predictive validity of the measures from kindergarten through 3rd grade with the Oregon Statewide Assessment-Reading/Literature as a high-stakes reading outcome. Using direct measures of key foundational skills, predictive validities ranged from. 34 to. 82. The utility of the fluency-based benchmark goals was supported with the finding that 96% of children who met the 3rd-grade oral reading fluency benchmark goal met or exceeded expectations on the Oregon Statewide Assessment, a high-stakes outcome measure. We illustrate the utility of the measures for evaluating instruction, modifying the instructional system, and targeting children who need additional instructional support to achieve benchmark goals. Finally, we discuss the instructional and policy implications of our findings and their utility in an active educational accountability environment.
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Authors invoke the logic of Laberge and Samuels that automaticity is important from an information processing view.
“Generally, authors invoke the logic of Laberge and Samuels [102] in that automaticity is important from an information processing view.”
From Curriculum-Based Measurement: A Brief History of Nearly Everything from the 1970s to the Present (2013) · cites this paper as [102]
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- Authors
- Good, R. H., Simmons, D. C., & Kame'enui, E. J.
- Venue
- Scientific Studies of Reading
- Publisher
- Informa UK Limited
- Published
- 2001-07
- Volume
- 5
- Issue
- 3
- Pages
- 257-288
- ISSN
- 1088-8438 (ISSN-L)
- 1532-799X
- OpenAlex
- W2071051632
- Cited by
- 545
- References
- 50
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 6 · 2023: 7 · 2022: 13 · 2021: 21 · 2020: 13 · 2019: 18 · 2018: 14 · 2017: 14 · 2016: 17 · 2015: 30 · 2014: 35 · 2013: 27 · 2012: 35
- FWCI
- 24.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Scientific Studies of Reading (publishedVersion)
- Funders
- University of Oregon
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Early Childhood Education and Development
- Keywords
- early literacy, reading fluency, foundational reading skills, curriculum-based measurement, oral reading fluency, high-stakes testing, educational accountability, predictive validity, third grade, reading difficulties, instructional decision-making
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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