Abstract
Curriculum-Based Measurement (CBM) is a direct method of academic assessment used to screen and evaluate students’ skills and monitor their responses to academic instruction and intervention. Interventioncentral.org offers a math worksheet generator at no cost that creates randomly generated math curriculum-based measures (M-CBMs). In this study, we examined the test–retest reliability and alternate-form reliability of four parallel, randomly generated M-CBMs designed to assess multiple arithmetic skills (addition, subtraction, multiplication, and division). The participants (N = 283 sixth-grade students) completed each M-CBM worksheet twice during a semester. According to our results, these M-CBMs have moderate test–retest and alternate-form reliability. Applying the Spearman–Brown Prophecy Formula revealed that aggregating M-CBMs increases the reliability of these measures to acceptable levels for progress monitoring (i.e., above .80).
|
AIMSweb . (2014). Available from www.aimsweb.com Google Scholar | |
|
Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In Marcoulides, G. A., Schumacker, R. E. (Eds.), Advanced structural equation modeling (pp. 243-277). Mahwah, NJ: Lawrence Erlbaum. Google Scholar | |
|
Brown, W. (1910). Some experimental results in the correlation of mental abilities. British Journal of Psychology, 3, 296–322. doi:10.1111/j.2044-8295.1910.tb00207.x Google Scholar | Crossref | |
|
Christ, T., Johnson-Gros, K., Hintze, J. (2005). An examination of alternate assessment durations when assessing multiple-skill computational fluency: The generalizability and dependability of curriculum-based outcomes within the context of educational decisions. Psychology in the Schools, 42, 615–622. doi:10.1002/pits.20107 Google Scholar | Crossref | ISI | |
|
Cohen, J., Cohen, P., West, S., Aiken, L. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). London, England: Lawrence Erlbaum. Google Scholar | |
|
Curriculum-Based Measurement Warehouse . (2014). Retrieved from www.interventioncentral.org/curriculum-based-measurement-reading-math-assesment-tests Google Scholar | |
|
Deno, S. L. (1985). Curriculum-based measurement: The emerging alternative. Exceptional Children, 52, 219–232. Google Scholar | SAGE Journals | ISI | |
|
Deno, S. L. (2003). Developments in curriculum-based measurement. The Journal of Special Education, 37, 184–192. doi:10.1177/00224669030370030801 Google Scholar | SAGE Journals | ISI | |
|
EasyCBM Lite Edition . (2014). Available from www.easycbm.com Google Scholar | |
|
Elliot, J., Lee, S. W., Tollefson, N. (2001). A reliability and validity study of the dynamic indicators of basic early literacy skills-modified. School Psychology Review, 30, 33–49. Google Scholar | ISI | |
|
Foegen, A., Deno, S. L. (2001). Identifying growth indicators for low-achieving students in middle school mathematics. The Journal of Special Education, 35, 4–16. doi:10.1177/002246690103500102 Google Scholar | SAGE Journals | ISI | |
|
Foegen, A., Jiban, C., Deno, S. (2007). Progress monitoring measures in mathematics. The Journal of Special Education, 41, 121–139. doi:10.1177/00224669070410020101 Google Scholar | SAGE Journals | ISI | |
|
Fuchs, L. S. (2004). The past, present, and future of curriculum-based measurement research. School Psychology Review, 33, 188–192. Google Scholar | ISI | |
|
Fuchs, L. S., Fuchs, D. (2002). What is scientifically-based research on progress monitoring? (Technical report). Nashville, TN: Vanderbilt University. Google Scholar | |
|
Grafman, J. M., Cates, G. L. (2010). The differential effects of two self-managed math instruction procedures: Cover, copy, and compare versus copy, cover, and compare. Psychology in the Schools, 47, 153–165. doi:10.1002/pits.20459 Google Scholar | Crossref | ISI | |
|
Gregory, R. J. (2011). Psychological testing: History, principles, and applications (6th ed.). Boston, MA: Pearson. Google Scholar | |
|
Hintze, J. M., Christ, T. J., Keller, L. A. (2002). The generalizability of CBM survey-level mathematics assessments: Just how many samples do we need? School Psychology Review, 31, 514–528. Google Scholar | ISI | |
|
Hosp, M. K., Hosp, J. L., Howell, K. W. (2007). The ABCs of CBM: A practical guide to curriculum-based measurement. New York, NY: Guilford Press. Google Scholar | |
|
Individuals With Disabilities Education Improvement Act (2004). Public Law 108–446 (20 U.S.C. 1400 et seq.). Google Scholar | |
|
Intervention Central . (2014). Available from www.interventioncentral.org Google Scholar | |
|
Little, R. J., Rubin, D. B. (1987). Statistical analysis with missing data. New York, NY: Wiley. Google Scholar | |
|
Mathematics Standards . (n.d.). Retrieved from http://www.corestandards.org/Math/ Google Scholar | |
|
No Child Left Behind Act of 2001, Public Law 107–110 (20 U.S.C. et seq. 6301 2002). Google Scholar | |
|
Nunally, J. C. (1978). Psychometric theory. New York, NY: McGraw-Hill. Google Scholar | |
|
Schafer, J. L., Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi:10.1037/1082-989X.7.2.147 Google Scholar | Crossref | Medline | ISI | |
|
Shapiro, E. S. (2011). Academic skills problems: Direct assessment and intervention (4th ed.). New York, NY: Guilford Press. Google Scholar | |
|
Spearman, C. (1910). Correlation calculated from faulty data. British Journal of Psychology, 3, 271–295. doi:10.1111/j.2044-8295.1910.tb00206.x Google Scholar | Crossref | |
|
Strait, G. (2008). Psychometric properties of a brief basic math skill assessment for middle school students: Simultaneous assessment of addition, subtraction, multiplication, and division (Master’s thesis). Available from ProQuest Dissertations and Theses database. (UMI No. 1459909) Google Scholar | |
|
Wright, J. (2013). How to assess mastery of math facts with CBM: Computation fluency. Available from http://www.interventioncentral.org Google Scholar |

