REFERENCES
- American Institute of CPAs (2013), “CPA Examination Passing Rates,” available at http://www.aicpa.org/BECOMEACPA/CPAEXAM/PSYCHOMETRICSANDSCORING/PASSINGRATES/Pages/default.aspx
- Bryant, M.J., Hammond, K.A., Bocain, K.M., Rettig, M.F., Miller, C.A., and Cardullo, R.A. (2008), “School Performance Will Fail to Meet Legislated Benchmarks,” Science, 321, 1781–1782.
- Dempster, A.P., and Rubin, D.B. (1983), “Rounding Error in Regression: The Appropriateness of Sheppard's Corrections,” Journal of the Royal Statistical Society, Series B, 45, 51–59.
- Flanagan, J.C. (1951), “Units, Scores, and Norms,” in Educational Measurement, ed. E.F. Lindquist, Washington, DC: American Council on Education, pp. 695–763.
- Fulton, M. (2006), Minimum Subgroup Size for Adequate Yearly Progress (AYP): State Trends and Highlights, Denver, CO: Education Commission for the States.
- Hedges, L.V., and Hedberg, E.C. (2007), “Intraclass Correlation Values for Planning Group-Randomized Trials in Education,” Educational Evaluation and Policy Analysis, 29, 60–87.
- Heijtan, D.F. (1989), “Inference From Grouped Continuous Data: A Review,” Statistical Science, 4, 164–179.
- Heijtan, D.F., and Rubin, D.B. (1991), “Ignorability and Coarse Data,” Annals of Statistics, 19, 2244–2253.
- Ho, A.D. (2008), “The Problem With ‘Proficiency’: Limitations of Statistics and Policy Under No Child Left Behind,” Educational Researcher, 37, 351–360.
- Holland, P. (2002), “Two Measures of Change in the Gaps Between the CDFs of Test-Score Distributions,” Journal of Educational and Behavioral Statistics, 34, 201–228.
- Holland, P.W., and Dorans, N.J. (2006), “Linking and Equating,” in Educational Measurement(4th ed.), ed. R. Brennan, Westport, CT: American Council on Education/Praeger Publishers, pp. 187–220.
- Horton, N.J., Lipsitz, S.R., and Parzen, M. (2003), “A Potential for Bias When Rounding in Multiple Imputation,” The American Statistician, 57, 229–232.
- Kolen, M.J., and Brennan, R.L. (2004), Test Equating, Scaling, and Linking: Methods and Practices (2nd ed.), New York: Springer-Verlag.
- Lord, F. (1980), Applications of Item Response Theory to Practical Testing Problems, Hillsdale, NJ: Erlbaum.
- National Conference of Bar Examiners (2012), “2011 Statistics,” The Bar Examiner, 81, 6–41.
- Schneeweiss, H., Komlos, J., and Ahmad, A.S. (2010), “Symmetric and Asymmetric Rounding: A Review and Some New Results,” Advances in Statistical Analysis, 94, 247–271.
- Sheppard, W.F. (1897), “On the Calculation of the Most Probable Values of Frequency Constants for Data Arranged According to Equidistant Divisions of a Scale,” Proceedings of the London Mathematical Society, 1, 353–380.
- The College Board (2013), “ The 9th Annual AP Report to the Nation,” New York: The College Board.
- U.S. Department of Education (n.d.), NAEP Data Explorer, Washington, DC.: National Center for Education Statistics, Institute of Education Sciences. Available at https://nces.ed.gov/nationsreportcard/about/naeptools.aspx
- ——— (2012), “ESEA Flexibility,” available at http://www.ed.gov/esea/flexibility/documents/esea-flexibility-acc.doc
- Yen, W.M., and Fitzpatrick, A.R. (2006), “Item Response Theory,” in Educational Measurement ()4th ed., ed. R. Brennan, Westport, CT: American Council on Education/Praeger Publishers, pp. 111–154.