Abstract
The technical adequacy of curriculum-based measures in the form of short and simple vocabulary-matching probes to predict students’ performance and progress in science at the secondary level was investigated. Participants were 198 seventh-grade students from 10 science classrooms. Curriculum-based measurements (CBM) were 5-min vocabulary-matching probes administered once weekly over a period of 14 weeks. Criterion measures were knowledge pre- and posttests, the science subtest of the Iowa Test of Basic Skills (ITBS), and course grades. Alternate-form reliability coefficients ranged from r = .64 to .84. Coefficients increased over time and by combining scores across probes. Correlations between scores on the vocabulary-matching and criterion measures ranged from r = .55 to .76. The estimated mean group growth rate on the vocabulary-matching measure was .63 correct matches per week, which was significantly different from zero. The measures produced significant interindividual differences in growth rates, and growth on the measures was related to performance on the ITBS, course grades, and pre–post gains on the knowledge test. Results provide initial support for the technical adequacy of vocabulary-matching as an indicator of performance and progress in science.
|
Armbruster, B. B., Anderson, T. H. (1988). On selecting “considerate” content area textbooks. Remedial and Special Education, 9, 47–52. doi:10.1177/-74193258800900109 Google Scholar | SAGE Journals | ISI | |
|
Bean, R. M., Zigmond, N., Hartman, D. K. (1994). Adapted use of social studies textbooks in elementary classrooms: Views of classroom teachers. Remedial and Special Education, 9, 47–52. Google Scholar | |
|
Bikel, R. (2007). Multilevel analysis for applied research: It’s just regression! New York, NY: Guilford. doi:10.1111/j.1744-6570.2008.00111_6.x Google Scholar | Crossref | |
|
Borsuk, E. R. (2010). Examination of an administrator-read vocabulary-matching measure as an indicator of science achievement. Assessment for Effective Intervention, 35, 168–177. Google Scholar | SAGE Journals | |
|
Bryk, A. S., Raudenbush, S. W. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin, 101, 147–158. doi:10.1037/0033-2909.101.1.147 Google Scholar | Crossref | ISI | |
|
Bryk, A. S., Raudenbush, S. W. (1992). Hierarchical linear models in social and behavioral research: Applications and data analysis methods. Newbury Park, CA: SAGE. Google Scholar | |
|
Business-Higher Education Forum . (2005). A commitment to America’s future: Responding to the crisis in mathematics & science education. Retrieved from http://www.bhef.com/publications/documents/commitment_future_05.pdf Google Scholar | |
|
Carlisle, J. F., Andrews, E. (1993). Monitoring learning-disabled students in mainstream science classes. Annals of Dyslexia, 43, 217–237. doi:10.1007/BF02928183 Google Scholar | Crossref | Medline | ISI | |
|
Carnevale, A. P., Smith, N., Melton, M. (2011). STEM: Science, technology, engineering, mathematics: Executive summary (Report of the Center on Education and the Workforce, Georgetown University). Retrieved from http://cew.georgetown.edu/stem/ Google Scholar | |
|
Coble, C., Allen, M. (2005). Keeping America competitive: Five strategies to improve mathematics and science education. Denver, CO: Education Commission of the States. Retrieved from http://sdsa.org/resources/publications/Keeping%20America%20Competitive.pdf Google Scholar | |
|
Deno, S. L. (1985). Curriculum-based measurement: The emerging alternative. Exceptional Children, 52, 219–232. Google Scholar | SAGE Journals | ISI | |
|
Espin, C. A., Busch, T., Shin, J., Kruschwitz, R. (2001). Curriculum-based measures in the content areas: Validity of vocabulary-matching measures as indicators of performance in social studies. Learning Disabilities Research & Practice, 16, 142–151. doi:10.111/0938-8982.00015 Google Scholar | Crossref | |
|
Espin, C. A., Deno, S. L. (1993). Performance in reading from content-area text as an indicator of achievement. Remedial and Special Education, 14(6), 47–59. doi:10.1177/074193259301400610 Google Scholar | SAGE Journals | ISI | |
|
Espin, C. A., Foegen, A. (1996). Validity of three general outcome measures for predicting secondary students’ performance on content-area tasks. Exceptional Children, 62, 497–514. Google Scholar | SAGE Journals | ISI | |
|
Espin, C. A., Shin, J., Busch, T. W. (2005). Curriculum-based measurement in the content areas: Vocabulary matching as an indicator of progress in social studies learning. Journal of Learning Disabilities, 38, 353–363. doi:10.1177/00222194050380041301 Google Scholar | SAGE Journals | ISI | |
|
Espin, C. A., Tindal, G. (1998). Curriculum-based measurement for secondary students. In Shinn, M. (Ed.), Advanced applications of curriculum-based measurement (pp. 214–253). New York, NY: Guilford. Google Scholar | |
|
Fang, Z. (2006). The language demands of science reading in middle school. International Journal of Science Education, 28, 491–520. doi:10.1080/09500690500339092 Google Scholar | Crossref | ISI | |
|
Fuchs, D., Mock, D., Morgan, P. L., Young, C. S. (2003). Responsiveness-to-intervention: Definitions, evidence, and implications for the learning disabilities construct. Learning Disabilities Research & Practice, 18, 157–171. doi:10.1111/1540-5826.00072 Google Scholar | Crossref | |
|
Fuchs, L. S. (2004). The past, present, and future of curriculum-based measurement research. School Psychology Review, 33, 188–192. Google Scholar | ISI | |
|
Groves, F. H. (1995). Science vocabulary load of selected secondary science textbooks. School Sciences & Mathematics, 95, 231–235. doi:10.1111/j.1949-8594.1995.tb15772.x Google Scholar | Crossref | |
|
Hoover, H. D., Dunbar, S. B., Frisbie, D. A. (1993). Iowa Tests of Basic Skills. Chicago, IL: Riverside. Google Scholar | |
|
Mason, L. H., Hedin, L. R. (2011). Reading science text: Challenges for students with learning disabilities and considerations for teachers. Learning Disabilities Research & Practice, 26, 214–222. doi:10.1111/j.1540-5826.2011.00342.x Google Scholar | Crossref | ISI | |
|
Mastropieri, M., Scruggs, T. E. (1992). Science for students with disabilities. Review of Educational Research, 62, 377–410. doi:10.3102/00346543062004377 Google Scholar | SAGE Journals | ISI | |
|
Mastropieri, M., Scruggs, T. E. (1994). Text versus hands-on science curriculum: Implications for students with disabilities. Remedial and Special Education, 15, 72–85. doi:10.1177/074193259401500203 Google Scholar | SAGE Journals | ISI | |
|
Messick, S. (1989a). Meaning and values in test validation: The science and ethics of assessment. Educational Researcher, 18(2), 5–11. Google Scholar | SAGE Journals | |
|
Messick, S. (1989b). Validity. In Linn, R. L. (Ed.), Educational measurement (3rd ed., pp. 13–103). New York, NY: Macmillan. Google Scholar | |
|
Messick, S. (1994). The interplay of evidence and consequences in the validation of performance assessments. Educational Researcher, 23(2), 13–23. Google Scholar | SAGE Journals | |
|
Moin, L. J., Magiera, K., Zigmond, N. (2009). Instructional activities and group work in the US inclusive high school co-taught science class. International Journal of Science and Mathematics Education, 7, 677–697. doi:10.1007/s10763-008-9133 Google Scholar | Crossref | ISI | |
|
National Center for Education Statistics . (2012). The Nation’s Report Card: Science 2011 (NCES 2012-465). Washington, DC: Institute of Education Sciences, U.S. Department of Education. Google Scholar | |
|
Salvia, J., Ysseldyke, J. (1998). Assessment (6th ed.). Boston, MA: Houghton Mifflin. Google Scholar | |
|
Scruggs, T. E., Mastropieri, M. (2007). Science learning in special education: The case for constructed versus instructed learning. Exceptionality, 15, 57–74. doi:10.1080/09362830701294144 Google Scholar | Crossref | |
|
Singer, J. D., Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford, UK: Oxford University Press. Google Scholar | Crossref | |
|
Therrien, W. J., Hughes, C., Hand, B. (Eds.). (2011). Special issue on science. Learning Disabilities Research & Practice, 26(4), 186–240. doi:10.1111/j.1540-5826.2011.00340.x Google Scholar | Crossref | |
|
Tindal, G., Nolet, V. (1995). Curriculum-based measurement in middle and high schools: Critical thinking skills in content areas. Focus on Exceptional Children, 27(7), 1–22. Google Scholar | |
|
Tindal, G., Nolet, V. (1996). Serving students in middle school content classes: A heuristic study of critical variables linking instruction and assessment. Journal of Special Education, 29, 414–432. Google Scholar | SAGE Journals | ISI | |
|
U.S. Department of Education . (2006). Increasing America’s competitiveness. Retrieved from http://www.ed.gov/teachers/how/prep/higher/competitiveness.html Google Scholar | |
|
Vannest, K. J., Parker, R., Dyer, N. (2011). Progress monitoring in grade 5 science for low achievers. Journal of Special Education, 44, 221–233. Google Scholar | SAGE Journals | ISI | |
|
Vaughn, S., Fuchs, L. S. (2003). Redefining learning disabilities as inadequate response to instruction: The promise and potential problems. Learning Disabilities Research & Practice, 18, 137–146. doi:10.1111/1540-5826.00070 Google Scholar | Crossref | |
|
Wayman, M. M., Wallace, T., Wiley, H. I., Tichá, R., Espin, C. A. (2007). Literature synthesis on curriculum-based measurement in reading. Journal of Special Education, 41, 85–120. doi:10.1177/00224669070410020401 Google Scholar | SAGE Journals | ISI | |
|
Yager, R. E. (1983). The importance of terminology in teaching K-12 science. Journal of Research in Science Teaching, 20, 577–588. doi:10.1002/tea.3660200610 Google Scholar | Crossref | ISI |

