Recent research on annual growth measured using curriculum-based measurement (CBM) indicates that growth may not be linear across the year and instead varies across semesters. Numerous studies in reading have confirmed this phenomenon with only one study of math computation yielding a similar finding. This study further investigated the presence of differences in growth across triannual benchmarks using math computation and concepts and applications CBMs. Results indicated that there are differences in growth across semesters at certain grade levels with only first-grade computation and fourth-grade concepts and applications yielding linear growth. The practical implications for understanding student growth and for setting progress goals are addressed and future directions for research are suggested.

Allinder, R. M., Oats, R. G. (1997). Effects of acceptability on teachers’ implementation of curriculum-based measurement and student achievement in mathematics computation. Remedial and Special Education, 18, 113120. doi:10.1177/074193259701800205
Google Scholar | SAGE Journals | ISI
Ardoin, S. P., Christ, T. J. (2008). Evaluating curriculum-based measurement slope estimates using data from triannual universal screenings. School Psychology Review, 37, 109125.
Google Scholar | ISI
Baraldi, A. N., Enders, C. K. (2010). An introduction to modern missing data analyses. Journal of School Psychology, 48, 537. doi:10.1016/j.jsp.2009.10.001
Google Scholar | Crossref | Medline | ISI
Christ, T. J., Johnson-Gros, K. N., Hintze, J. M. (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, 615622. doi:10.1002/pits.20107
Google Scholar | Crossref | ISI
Christ, T. J., Silberglitt, B., Yeo, S., Cormier, D. (2010). Curriculum-based measurement of oral reading: An evaluation of growth rates and seasonal effects among students served in general and special education. School Psychology Review, 39, 447462.
Google Scholar | ISI
Cooper, H., Nye, B., Charlton, K., Lindsay, J. (1996). The effects of summer vacation on achievement test scores: A narrative and meta-analytic review. Review of Educational Research, 66, 227268. doi:10.2307/1170523
Google Scholar | SAGE Journals | ISI
Foegan, A., Jiban, C., Deno, S. (2007). Progress monitoring in mathematics: A review of the literature. Journal of Special Education, 41, 121139. doi:10.1177/00224669070410020101
Google Scholar | SAGE Journals | ISI
Fuchs, L. S., Fuchs, D., Courey, S. J. (2005). Curriculum-based measurement of mathematics competence: From computation to concepts and applications to real life-problem solving. Assessment for Effective Intervention, 30, 3346. doi:10.1177/073724770503000204
Google Scholar | Crossref
Fuchs, L. S., Fuchs, D., Hamlett, C. L., Thompson, A., Roberts, P. H., Kubek, P., Stecker, P. M. (1994). Technical features of a mathematics concepts and applications curriculum-based measurement system. Assessment for Effective Intervention, 19, 2349. doi:10.1177/073724779401900403
Google Scholar | Crossref
Fuchs, L. S., Fuchs, D., Hamlett, C. L., Walz, L., Germann, G. (1993). Formative evaluation of academic progress: How much growth can we expect? School Psychology Review, 22, 2748.
Google Scholar | ISI
Fuchs, L. S., Hamlett, C. L., Fuchs, D. (1998). Monitoring basic skills progress: Basic math computation (2nd ed.). Austin, TX: Pro-Ed.
Google Scholar
Fuchs, L. S., Hamlett, C. L., Fuchs, D. (1999). Monitoring basic skills progress: Basic math concepts and applications (2nd ed.). Austin, TX: Pro-Ed.
Google Scholar
Good, R., Jefferson, G. (1998). Contemporary perspectives on curriculum-based measurement validity. In Shinn, M. R. (Ed.), Advanced applications of curriculum-based measurement (pp. 6188). New York, NY: Guilford.
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, 121142. doi:10.1016/j.jsp.2008.12.001
Google Scholar | Crossref | Medline | ISI
Helwig, R., Anderson, L., Tindal, G. (2002). Using a concept-grounded curriculum-based measure in mathematics to predict statewide test scores for middle school students with LD. Journal of Special Education, 36, 102112. doi:10.1177/00224669020360020501
Google Scholar | SAGE Journals | ISI
Hertzog, C., von Oertzen, T., Ghisletta, P., Lindenberger, U. (2008). Evaluating the power of latent growth curve models to detect individual differences in change. Structural Equation Modeling, 15, 541563. doi:10.1080/10705510802338983
Google Scholar | Crossref | ISI
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, 514528.
Google Scholar | ISI
Hosp, M., Hosp, J. L. K., Howell, K. W. (2007). The ABCs of CBM: A practical guide to curriculum-based measurement. New York, NY: Guilford.
Google Scholar
Jenkins, J. R., Graff, J., Miglioretti, D. L. (2009). Estimating reading growth using intermittent CBM progress monitoring. Exceptional Children, 75, 151163.
Google Scholar | SAGE Journals | ISI
Jenkins, J. R., Zumeta, R., Dupree, O., Johnson, K. (2005). Measuring gains in reading ability with passage reading fluency. Learning Disabilities Research & Practice, 20, 245253. doi:10.1111/j.1540-5826.2005.00140.x
Google Scholar | Crossref
Jitendra, A. K., Sczesniak, E., Deatline-Buchman, A. (2005). An exploratory validation of curriculum-based mathematical word problem-solving tasks as indicators of mathematics proficiency for third graders. School Psychology Review, 34, 358371.
Google Scholar | ISI
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, 374390.
Google Scholar | ISI
Logan, J. A. R., Petscher, Y. (2010). School profiles of at-risk student concentration: Differential growth in oral reading fluency. Journal of School Psychology, 48, 163186. doi:10.1016/j.jsp.2009.12.002
Google Scholar | Crossref | Medline | ISI
Muthén, L. K., Muthén, B. O. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Author.
Google Scholar
Pearson . (2010). AIMSweb: Assessment and data management for RTI. Austin, TX: Author.
Google Scholar
Shapiro, E. S. (2011a). Academic skills problems: Direct assessment and intervention (4th ed.). New York, NY: Guilford.
Google Scholar
Shapiro, E. S. (2011b). Academic skills problems workbook (4th ed.). New York, NY: Guilford.
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, 1935.
Google Scholar | SAGE Journals | ISI
Thurber, R. S., Shinn, M. R., Smolkowski, K. (2002). What is measurement in mathematics tests? Construct validity of curriculum-based mathematics measures. School Psychology Review, 31, 498513.
Google Scholar | ISI
Wang, M., Bodner, T. E. (2007). Growth mixture modeling. Identifying and predicting unobserved subpopulations with longitudinal data. Organizational Research Methods, 10, 635656. doi:10.1177/1094428106289397
Google Scholar | SAGE Journals | ISI
Willett, J. B., Sayer, A. G. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116, 363381. doi:10.1037/0033-2909.116.2.363
Google Scholar | Crossref | ISI
View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

AEI-article-ppv for $15.00

Article available in:

Related Articles