Validity of General Outcome Measures for Predicting Secondary Students' Performance on Content-Area Tasks
Abstract
This study investigated the validity of three curriculum-based measures for predicting the performance of secondary students on content-area tasks. It was hypothesized that oral reading, maze, and vocabulary measures would predict students' performance on comprehension, acquisition, and retention of content-area material. Participants were 184 urban middle school students, including 13 with mild disabilities. Reliable correlations were found between each of the three general outcome measures and performance on the content tasks. Results of regression analyses supported the vocabulary measure as the most efficient and effective measure for predicting student performance on the three content-area tasks.
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- Authors
- Espin, C. A., & Foegen, A.
- Affiliations
- University of Minnesota (US)
- Iowa State University (US)
- Corresponding author
- Espin, Christine A.
- ORCID
- Espin, Christine A.
- Venue
- Exceptional Children
- Publisher
- SAGE Publications
- Published
- 1996-05
- Volume
- 62
- Issue
- 6
- Pages
- 497-514
- ISSN
- 0014-4029 (ISSN-L)
- 2163-5560
- OpenAlex
- W1836939106
- Cited by
- 131
- References
- 51
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2022: 2 · 2021: 4 · 2020: 2 · 2018: 8 · 2017: 5 · 2016: 6 · 2015: 4 · 2014: 11 · 2013: 14 · 2012: 4
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Exceptional Children (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Education › Educational Assessment and Pedagogy
- Keywords
- curriculum-based measurement, validity, high school students, vocabulary, reading aloud, maze test, reading comprehension, retention, acquisitions, junior high school students, mild disabilities, urban students, student performance prediction
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