Curriculum-Based Assessment, Socio-Demographic and Educational Measures as Predictors of Mathematics FCAT: Implications for Emancipatory Inquiry
-
Linda S. Behar-Horenstein
, Michael Hudson-Vassell
, Charisse N. Hudson-Vassell and Cynthia W. Garvan
Abstract
Using critical lenses, this study examined the predictive value added of curriculum-based assessment (CBA), with socio-demographic and educational variables on the mathematics portion of Florida Comprehensive Assessment Test (FCAT). Gender, race, socio-economic status, and exceptional student education (ESE) were compared in a de-identified post hoc dataset of (n=6,218) middle and high school students in single district. These variables predicted a substantial amount of variance ranging from 0.33 to 0.40, while the addition of a CBA predicted variance that ranged from 0.41 to 0.50, a difference of 0.07 to 0.15. The findings confirm what previous studies have shown, that overall females, Blacks and Hispanics, and ESE score lower than non-ESE students, Asians, and males; students on free and reduced lunch score lower than full-pay students. Lower achievement in particular racial groups should lead teachers to be mindful of the accessibility of contextualized mathematical concepts. The authors suggest how future studies, using an emancipatory research perspective, can examine the results from alternative interpretative lenses to question how their own and stakeholder’s positionality influences outcomes.
References
Aikens, N. L., & Barbarin, O. (2008). Socioeconomic differences in reading trajectories: The contribution of family, neighborhood, and school contexts. Journal of Educational Psychology, 100(2), 235–251.10.1037/0022-0663.100.2.235Search in Google Scholar
Aldridge, D. P. (2003). The dilemma, challenges and duality of an African-American educational historian. Educational Researcher, 32(9), 25–34.10.3102/0013189X032009025Search in Google Scholar
Ardoin, S. P., Roof, C. M., Klubnick, C., & Carfolite, J. (2008). Evaluating curriculum-based measurement from a behavioral assessment perspective. The Behavior Analyst Today, 9(1), 36–49.10.1037/h0100646Search in Google Scholar
Arnold, D. H., & Doctoroff, G. L. (2003). The early education of socioeconomically disadvantaged children. Annual Review of Psychology, 54, 517–545.10.1146/annurev.psych.54.111301.145442Search in Google Scholar
Boaler, J. (2003). When learning no longer matters: Standardized testing and the creation of inequality. Phi Delta Kappan, 84, 502.10.1177/003172170308400706Search in Google Scholar
Borg, M., Plumlee, J. P., & Stranahan, H. A. (2007). Plenty of children left behind: High-stakes testing and graduation rates in Duval County, Florida. Educational Policy, 21, 695–716.10.1177/0895904806289206Search in Google Scholar
Brown, R. S., & Coughlin, E. (2007). The predictive validity of selected benchmark assessments used in the Mid-Atlantic Region (Issues & Answers Report, REL 2007–No. 017). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Mid-Atlantic. Retrieved from http://ies.ed.gov/ncee/edlabsSearch in Google Scholar
Buck, J., & Torgesen, J. (2003). The relationship between performance on a measure of oral reading fluency and performance on the Florida Comprehensive Assessment Test (Technical Report 1). Tallahassee, FL: Florida Center for Reading Research.Search in Google Scholar
Chapman, T. K. (2007). Interrogating classroom relationships and events: Using portraiture and critical race theory in education research. Educational Researcher, 36(3), 156–162.10.3102/0013189X07301437Search in Google Scholar
Christ, T. J. & Hintze, J. (2007). Psychometric considerations when evaluatingresponse to intervention. Handbook of Response to Intervention (pp. 93–105).doi:10.1007/978-0-387-49053-3_7.Search in Google Scholar
Clarke, B., & Shinn, M. R. (2004). A preliminary investigation into the identification and development of early mathematics curriculum-based measurement. School Psychology Review, 33, 234–248.10.1080/02796015.2004.12086245Search in Google Scholar
Crist, C. (2001). FCAT briefing book. Tallahassee, FL: Florida Department of Education.Search in Google Scholar
Deno, S. L. (2005). Problem-solving assessment. In R.Brown-Chidsey (Ed.), Assessment for intervention: A problem solving approach (pp. 10–40). New York, NY: The Guilford Press.Search in Google Scholar
Deno, S. L. & Mirkin, P. K. (1977). Data-based program modification: A manual. Reston, VA: Council for Exceptional Children.Search in Google Scholar
Florida Department of Education. (2006). FCAT briefing book. Tallahassee, FL: Author.Search in Google Scholar
Foegen, A., Jiban, C. & Deno, S. (2007). Curriculum-based assessment measures in mathematics: A review of the literature. The Journal of Special Education, 41(2), 121–139.10.1177/00224669070410020101Search in Google Scholar
Fryer, R., & Levitt, S. (2004). Understanding the black–white test score gap in the first two years of school. The Review of Economics and Statistics, 86, 447–464.10.1162/003465304323031049Search in Google Scholar
Gillborn, D. (2008). Racism and education: coincidence or conspiracy?London: Routledge.10.4324/9780203928424Search in Google Scholar
Good, R. H., Simmons, D. C., & Kameenui, E. J. (2001). The importance of decision-making utility of a continuum of fluency-based indicators of foundational reading skills for third-grade high stakes outcomes. Scientific Studies of Reading, 5(3), 257–288.10.1207/S1532799XSSR0503_4Search in Google Scholar
Gordon, B. M. (1990). The necessity of African-American epistemology for educational theory and practice. Journal of Education, 172, 88–106.10.1177/002205749017200307Search in Google Scholar
Graney, S. B., Missall, K. N., Martínez, R. S., & Bergstrom, M. (2009). A preliminary investigation of within-year growth patterns in reading and mathematics curriculum-based measures. Journal of School Psychology, 47(2), 121–142.10.1016/j.jsp.2008.12.001Search in Google Scholar
Grodsky, E., Warren, J. R., & Felts, E. (2008). Testing and social stratification in American education. Annual Review of Sociology, 34, 385–404.10.1146/annurev.soc.34.040507.134711Search in Google Scholar
Hargrove, L. J., Church, K. L., Yssel, N., & Koch, K. (2002). Curriculum-based assessment: Reading and state academic standards. Preventing School Failure, 46(4), 148–151.10.1080/10459880209604413Search in Google Scholar
Harris, C. I. (1993). Whiteness as property. Harvard Law Review, 106, 1707–1791.10.2307/1341787Search in Google Scholar
Hintze, J. M., Callahan, J. E., Matthews, W. J., Williams, S. A. S., & Tobin, K. G. (2002). Oral reading fluency and prediction of reading comprehension in African American and Caucasian elementary school children. School Psychology Review, 31(4), 540–553.10.1080/02796015.2002.12086173Search in Google Scholar
Keith, T. Z. & Reynolds, M. R. (2009). Advances in quantitative research. In T. B.Gutkin & C. R.Reynolds (Eds.), The handbook of school psychology (4th ed., pp. 3–29). Hoboken, NJ: Wiley.Search in Google Scholar
Keller-Margulis, M.A., Shapiro, E.S., & Hintze, J.M. (2008). Long-term diagnostic accuracy of curriculum-based measures in reading and mathematics. School Psychology Review, 37, 374–390.10.1080/02796015.2008.12087884Search in Google Scholar
Kranzler, J.H., Miller, D.M., & Jordan, L. (1999). An examination of racial/ethnic and gender bias on curriculum-based measurement of reading. School Psychology Quarterly, 14, 327–342.10.1037/h0089012Search in Google Scholar
Ladson-Billings, G. (2000). Racialized discourses and ethnic epistemologies. In N.Denzin & Y.Lincoln, (Eds.), The SAGE handbook of qualitative research (2nd ed., pp. 257–277). Thousand Oaks, CA: Sage.Search in Google Scholar
Ladson-Billings, M. & Tate, W. (1995). Toward a critical race theory of education. Teachers College Record, 97(1), 47–67.10.1177/016146819509700104Search in Google Scholar
Leareau, A., & Horvat, E. M. (1999). Moments of social inclusion and exclusion: Race, class and cultural capital in family-school relationships. Sociology of Education, 72(1), 37–53.10.2307/2673185Search in Google Scholar
Liu, O. (2009). An investigation of factors affecting gender differences in standardized math performance: Results from U.S. and Hong Kong 15 year olds. International Journal of Testing, 9, 215–237.10.1080/15305050903106875Search in Google Scholar
Lucas, S. R., & Beresford, L. (2010). Naming and classifying: Theory, evidence, and equity in education. Review of Research in Education, 34, 324–345.10.3102/0091732X09353578Search in Google Scholar
Milner, R. (2007). Race, culture, and researcher positionality: Working through dangers, seen unseen, and unforeseen. Educational Researcher, 36(7), 388–400.10.3102/0013189X07309471Search in Google Scholar
No Child Left Behind (NCLB) Act of2001, Pub. L. No. 107–110, § 115, Stat. 1425 (2002).Search in Google Scholar
Orfield, G. (2006). Foreword. In J.Lee’s (Ed.), Tracking achievement gaps and assessing the impact of NCLB on the gaps: An in-depth look into national and state reading and math outcome trends. Boston, MA: The Civil Rights Project of Harvard University.Search in Google Scholar
Organisation for Economic Co-operation and Development. (2010a). PISA 2009 results: What students know and can do – Student performance in reading, mathematics, and science. Vol 1. http://dx.doi.org/10.1787/9789264091450-en.10.1787/9789264091450-enSearch in Google Scholar
Organisation for Economic Co-operation and Development. (2010b). PISA 2009 results: Overcoming social background – Equity in learning opportunities and outcomes. Vol. 2. http://dx.doi.org/10.1787/9789264091504-en.10.1787/9789264091504-enSearch in Google Scholar
PISA. (2009). Results: Overcoming social background – Equity in learning opportunities and outcomes. Vol. 2. http://dx.doi.org/10.1787/9789264091504-en.10.1787/9789264091504-enSearch in Google Scholar
Palardy, G. J. (2008). Differential school effects among low, middle, and high social class composition schools: A multiple group, multilevel latent growth curve analysis. School Effectiveness and School Improvement, 19, 21–49.10.1080/09243450801936845Search in Google Scholar
Peugh, J. L. (2010). A practical guide to multi-level modeling. Journal of School Psychology, 48, 85–112.10.1016/j.jsp.2009.09.002Search in Google Scholar
Phillips, M., Crouse, J., Ralph, J. (1998). Does the black–white test score gap widen after children enter school? In C.Jencks, & M.Phillips (Eds.), The black–white test score gap (pp. 229–272). Washington, DC: Brookings Institution Press.Search in Google Scholar
Quinn, D., & Spencer, S. (2001). The interference of stereotype threat with women’s generation of mathematical problem-solving strategies. Journal of Social Issues, 57, 55–71.10.1111/0022-4537.00201Search in Google Scholar
Roehrig, A. D., Petscher, Y., Nettles, S. M., Hudson, R. F., & Torgesen, J. K. (2008). Not just speed reading: Accuracy of the DIBELS oral reading fluency measure for predicting high-stakes third grade reading comprehension outcomes. Journal of School Psychology, 46, 343–366.10.1016/j.jsp.2007.06.006Search in Google Scholar
Schmidt, F. L., & Hunter, J. E. (1999). Bias in standardized educational and employment tests as justification for racial preferences in affirmative action programs. Research in Social Stratification and Mobility, 17, 285–302.Search in Google Scholar
Secada, W. G. (1996). Urban students acquiring English and learning mathematics in the context of reform. Urban Education, 30, 422–448.10.1177/0042085996030004004Search in Google Scholar
Shapiro, E. S., Keller, M. A., Edwards, L., Lutz, G., & Hintze, J. M. (2006). General outcome measures and performance on state assessment and standardized tests: Reading and math performance in Pennsylvania. Journal of Psychoeducational Assessment, 42(1), 19–35.10.1177/0734282905285237Search in Google Scholar
Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research, 75, 417–453.10.3102/00346543075003417Search in Google Scholar
Sleeter, C. (2000). Epistemological diversity in research on preservice teacher preparation for historically underserved children. Review of Research in Education, 2(5), 209–250.Search in Google Scholar
Spicuzza, R., Ysseldyke, J., Lemkuil, A., Kosciolek, S., Boys, C, & Teelucksingh, E. (2001). Effects of curriculum-based monitoring on classroom instruction and math achievement. Journal of School Psychology, 39, 521–542.10.1016/S0022-4405(01)00087-5Search in Google Scholar
Stecker, P. M., & Fuchs, L.S. (2000). Effecting superior achievement using curriculum-based measurement: The importance of individual curriculum-based assessment. Learning Disabilities Research & Practice, 15(3), 128–134.10.1207/SLDRP1503_2Search in Google Scholar
FCAT TestMaker. (2010). FCAT TestMaker item bank reliability and validity report. Gainesville, FL: FCAT TestMaker. Retrieved from http://www.fcattestmaker.com/Search in Google Scholar
Tillman, L. C. (2002). Culturally sensitive research approaches for an African-American Perspective. Educational Research, 31(9), 3–12.10.3102/0013189X031009003Search in Google Scholar
Vendlinski, T.P., Hemberg, B.C., Mundy, C., Baker, E.L., Herman, J.L.Phelan, J. (2009). Designing professional development around key principles and formative assessments to improve teachers’ knowledge to teach mathematics. Meeting of the Society for Research on Educational Effectiveness. Crystal City, VA.Search in Google Scholar
Waters, M. C. (1990). Ethnic options: Choosing identities in America. Berkeley, CA: University of California Press.Search in Google Scholar
Wilson, W. (1978). The declining significance of race. Chicago: University of Chicago Press.Search in Google Scholar
Yeo, S. (2008). Relation between 1-minute CBM reading aloud measure and reading comprehension tests: A multilevel meta-analysis. Unpublished doctoral dissertation, University of Minnesota.Search in Google Scholar
Zwick, R., & Green, J.G. (2007). New perspectives on the correlation of SAT scores, high school grades, and socioeconomic factors. Journal of Educational Measurement, 44, 23–45.10.1111/j.1745-3984.2007.00025.xSearch in Google Scholar
©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Executive Editors’ Comment
- Everything Has Everything to Do with Everything
- Voices of Culturally and Linguistically Diverse Parents: The Case of Korean-American Parents
- Curriculum-Based Assessment, Socio-Demographic and Educational Measures as Predictors of Mathematics FCAT: Implications for Emancipatory Inquiry
- Physical Education Undergraduate Students’ Colorblind Racial Ideology and Multicultural Teaching Competence
- An Exploration of Community Capital, Student Composition of Schools, and Achievement Gaps
- Mentoring Experiences of Latina Graduate Students
- Understanding the Process of Contextualization
Articles in the same Issue
- Frontmatter
- Executive Editors’ Comment
- Everything Has Everything to Do with Everything
- Voices of Culturally and Linguistically Diverse Parents: The Case of Korean-American Parents
- Curriculum-Based Assessment, Socio-Demographic and Educational Measures as Predictors of Mathematics FCAT: Implications for Emancipatory Inquiry
- Physical Education Undergraduate Students’ Colorblind Racial Ideology and Multicultural Teaching Competence
- An Exploration of Community Capital, Student Composition of Schools, and Achievement Gaps
- Mentoring Experiences of Latina Graduate Students
- Understanding the Process of Contextualization