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An Evaluation of Number Rockets: A Tier 2 Intervention for Grade 1 Students At Risk for Difficulties in MathematicsAn Evaluation of Number Rockets: A Tier 2 Intervention for Grade 1 Students At Risk for Difficulties in Mathematics

Contact information

Eric Rolfhus
Regional Educational Laboratory Southwest
9901 IH-10 West, Suite 1000
San Antonio, TX 78230
(210) 558-4142
erolfhus@edvanceresearch.com

Region: Southwest

References

Baker, S., Gersten, R., and Lee, D. (2002). A synthesis of empirical research on teaching mathematics to low-achieving students. The Elementary School Journal, 103 (1), 51–73.

Burns, M.K., Appleton, J.J., and Stehouwer, J.D. (2005). Meta-analytic review of Responsiveness-to-Intervention research: examining field-based and research-implemented models. Journal of Pscyhoeducational Assessment, 23, 381–94.

Case, R., Okamoto, Y., Griffin, S., McKeough, A., Bleiker, C., Henderson, B., and Stephenson, K.M. (1996). The role of central conceptual structures in the development of children's thought. Monographs of the Society for Research in Child Development, 61 (1–2), 83–102.

Case, L.P., Speece, D.L., and Molloy, D.E. (2003). The validity of a response-to-instruction paradigm to identify reading disabilities: A longitudinal analysis of individual differences and contextual factors. School Psychology Review, 32 (4), 557–82.

Clarke, B., Baker, S., Chard, D., and Otterstedt, J. (2006). Developing and validating measures of number sense to identify students at risk for mathematics disabilities (Technical Report 0307). Eugene, OR: Pacific Institutes for Research.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.

Elbaum, B., Vaughn, S., Hughes, M., Moody, S., and Schumm, J. (2000). How reading outcomes of students with disabilities are related to instructional grouping formats: a meta-analytic review. In R. Gersten, E. Schiller, and S. Vaughn (Eds.), Contemporary Special Education Research. Mahwah, NJ: Lawrence Erlbaum Associates.

Fuchs, L.S., Compton, D.L., Fuchs, D., Paulsen, K., Bryant, J.D., and Hamlett, C.L. (2005). The prevention, identification, and cognitive determinants of math difficulty. Journal of Educational Psychology, 97 (33), 493–513.

Fuchs, D., and Fuchs, L.S. (2006). Introduction to response to intervention: what, why, and how valid is it? Reading Research Quarterly, 41 (1), 92–99.

Fuchs, L.S., Hamlett, C.L., and Fuchs, D. (1990). Curriculum-based math computation and concepts/applications. (Available from L. S. Fuchs, 328 Peabody, Vanderbilt University, Nashville, TN 37203).[Unpublished paper].

Geary, D.C. (1993). Mathematical disabilities: cognitive, neuropsychological, and genetic components. Psychological Bulletin, 114 (2), 345–62.

Gersten, R., and Chard, D. (1999). Number sense: Rethinking arithmetic instruction for students with mathematical disabilities. The Journal of Special Education, 33(1), 18–28.

Gersten, R., Chard, D., Jayanthi, M., Baker, S., Morphy, P., and Flojo, J. (2009). A Meta-analysis of Mathematics Instructional Interventions for Students with Learning Disabilities: A Technical Report. Los Alamitos, CA: Instructional Research Group.

Gersten, R., Compton, D., Connor, C.M., Dimino, J., Santoro, L., Linan-Thompson, S., and Tilly, W.D. (2008). Assisting students struggling with reading: response to intervention and multi-tier intervention for reading in the primary grades. A practice guide. (NCEE 2009-4045). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. Retrieved April 10, 2009, from http://ies.ed.gov/ncee/wwc/publications/practiceguides/.

Ginsburg, H.P., and Baroody, A.J. (2003). Test of early mathematics ability–Third edition. Pro-Ed: Austin, TX.

Gonzales, P., Guzmán, J.C., Partelow, L., Pahlke, E., Jocelyn, L., Kastberg, D., and Williams, T. (2004). Highlights from the Trends in International Mathematics and Science Study (TIMSS) 2003 (NCES 2005–005). Washington, DC: U.S. Department of Education, National Center for Education Statistics.

Hill, C.J., Bloom, H.S., Black, A.R., and Lipsey, M.W. (2007, July). Empirical benchmarks for interpreting effect sizes in research. MDRC working papers on research methodology. Washington, DC: MDRC.

Jordan, N.C., and Hanich, L.B. (2000). Mathematical thinking in second grade children with different forms of LD. Journal of Learning Disabilities, 23 (6), 567–78.

Jordan, N.C., Kaplan, D., Locuniak, M.N. and Ramineni, C. (2007). Predicting first-grade math achievement from developmental number sense trajectories. Learning Disabilities Research & Practice, 22 (1), 36–46.

Kroesbergen, E.H., and Van Luit, J.E.H. (2003). Mathematics interventions for children with special education needs: A meta-analysis. Remedial and Special Education, 24 (2), 97–114.

Lemke, M., Sen, A., Pahlke, E., Partelow, L., Miller, D., Williams, T., Kastberg, D., and Jocelyn, L. (2004). International outcomes of learning in mathematics literacy and problem solving: PISA 2003. Results from the U.S. perspective. (NCES 2005–003). Washington, DC: U.S. Department of Education, National Center for Education Statistics.

Lipsey, M.W., and Wilson, D.B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage Publications.

Lou, Y., Abrami, P.C., Spence, J.C., Poulsen, C., Chambers, B., and d'Apollonia, S. (1996). Within-class grouping: A meta-analysis. Review of Educational Research, 66(4), 423–58.

Newman-Gonchar, R., Clarke, B., and Gersten, R. (2009). A summary of nine key studies: Multi-tier intervention and response to interventions for students struggling in mathematics. Portsmouth, NH: RMC Research Corporation, Center on Instruction.

Raudenbush, S.W. and Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA: Sage Publications.

Sattler, J.M. (2001). Assessment of children: Cognitive applications. La Mesa, CA: Jerome M. Sattler Publisher.

Shadish, W.R., Cook, T.D., and Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton-Mifflin.

Springer, L., Stanne, M.E., and Donovan, S.S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: a meta-analysis. Review of Educational Research, 69 (1), 21–51.

U.S. Department of Education. (2007). National Assessment of Educational Progress at grades 4 and 8 (NCES 2007–494). Washington, DC: U.S. Department of Education, National Center for Education Statistics.

U.S. Department of Education. (2008a). Reading First. Washington, DC: U.S. Department of Education. Retrieved November 1, 2008, from http://www.ed.gov/programs/readingfirst/index.html.

U.S. Department of Education. (2008b). Foundations for success: report of the National Mathematics Advisory Panel. Washington, DC: U.S. Department of Education. Retrieved November 1, 2008, from http://www.ed.gov/about/bdscomm/list/mathpanel/reports.html.

U.S. Department of Education. (2008c). Building the legacy: IDEA 2004. Washington, DC: U.S. Department of Education. Retrieved November 1, 2008, from http://idea.ed.gov/explore/home.

Vaughn, S., Linan-Thompson, S., and Hickman-Davis, P. (2003). Response to treatment as a means of identifying students with reading/learning disabilities. Exceptional Children, 69 (4), 391–409.

Wanzek, J., and Vaughn, S. (2007). Research-based implications from extensive early reading interventions. School Psychology Review, 36, 541–61.

Woodcock, R.W., McGrew, K.S., and Mather, N. (2001). Woodcock-Johnson–III. Rolling Meadows, IL: Riverside Publishing Company.

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