Abstract

Reliability of ACCUPLACER Score in Predicting Success in Quantitative Reasoning Course

Santhosh Mathew, & Upasana Kashyap

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Abstract: The purpose of this study was to determine the correlation between the ACCUPLACER placement test score (elementary algebra) and the student success in the quantitative reasoning course at Regis College. Our study points to a weak but significant correlation between the ACCUPLACER placement score and the student success in the quantitative reasoning course. We propose that an in-house placement system based on the unique requirements of the institution will be a much more effective approach to place the students at appropriate levels of instruction.

Keywords: ACCUPLACER; College Placement; Quantitative Reasoning; Freshmen Level Mathematics; Assessment of Student Preparedness

Please Cite: Mathew, S., & Kashyap, U. (2019). Reliability of ACCUPLACER score in predicting success in Quantitative Reasoning Course. Journal of Research in Science, Mathematics and Technology Education, 2(1), 1-7. DOI: https://doi.org/10.31756/jrsmte.211             

References

Anthony, G. (2000). Factors influencing first-year students' success in mathematics. International Journal of Mathematical Education in Science and Technology 31(1), 3–14.

Armstrong, W. B. (2000). The association among student success in courses, placement test scores, student background data, and instructor grading practices. Community College Journal of Research & Practice, 24 (8), 681– 695.

Belfield, C. R., & Crosta, P. M. (2012). Predicting success in college: The importance of placement tests and high school transcripts (CCRC Working Paper No. 42). New York: Community College Research Center.

Bennett, J., & Briggs W.L. (2014). Using and understanding mathematics: A   Quantitative Reasoning Approach. 6th ed., MA: Pearson.

Bettinger, E. P., & Long, B. (2009). Addressing the needs of under-prepared students in Higher Education: Does college remediation work? Journal of Human Resources, 44(3), 736–771. 

Brase, C. H. & Brase, C.P. (2012). Understandable Statistics: Concepts and Methods (10th edn). Boston: Brooks/Cole Cengage Learning.

College Board. (2015, March 12). ACCUPLACER. Retrieved from

              http://professionals.collegeboard.com/higher- ed/placement/ACCUPLACER.

Elrod, S.L. (2014). Quantitative Reasoning: The Next “Across the Curriculum” Movement, Peer Review 16(3), 4–8.

Greene, J.P. & Forster, G. (2003, September). Public High School Graduation and College Readiness Rates in the United States, (Manhattan Institute, Center for Civic Information, Education Working Paper, No. 3). New York: Manhattan Institute.

Madison, B. L., Linde, C. S., Decker, B. R., Rigsby, E. M., Dingman, S. W., & Stegman,   C. E. (2015). A Study of Placement and Grade Prediction in First College Mathematics Courses. PRIMUS, 25(2), 131-157.

ACCUPLACER Reliability & Validity (2015, May 20). Retrieved from https://accuplacer.collegeboard.org/sites/default/files/accuplacer-realiability-validity.pdf

Mattern, K. D., & Packman, S. (2009). Predictive validity of ACCUPLACER scores for course placement: A meta-analysis (Research Report No. 2009-2). New York, NY: College Board. Retrieved from https://research.co.llegeboard.org/sites/default/files/publications/2012/7/researchreport-2009-2-predictive-validity-ACCUPLACER-scores-course-placement.pdf

Ngo, F., & Kwon, W. W. (2015). Using multiple measures to make math placement decisions: Implications for access and success in community colleges. Research in Higher Education, 56(5), 442-470.

Rueda, N. G., & Sokolowski, C. (2004). Mathematics placement test: Helping students succeed. The Mathematics Educator, 14(2), 27-33.

Scott-Clayton, J. (2012). Do high-stakes placement exams predict college success? (CCRC Working Paper No. 41). New York, NY: Columbia University, Teachers College, Community College Research Center.

Sedlacek, W. E. (2004). Beyond the big test: Noncognitive assessment in higher education. San Francisco: Jossey-Bass.

Steen, L. (2004). Achieving Quantitative Literacy: an Urgent Challenge for Higher Education. MAA Notes. Washington, DC: Mathematical Association of America.