219
Views
1
CrossRef citations to date
0
Altmetric
Articles

What’s missing in longitudinal studies conducted in the U.S. with implications for mathematics education?

, &
Pages 383-400 | Received 30 Jun 2015, Accepted 13 Mar 2016, Published online: 10 May 2016

References

  • America COMPETES Act, H.R. 2272, 110th Congress. 2007. http://www.gpo.gov/fdsys/pkg/BILLS-110hr2272enr/pdf/BILLS-110hr2272enr.pdf.
  • America COMPETES Reauthorization Act, H.R. 5116, 111th Congress. 2010. http://www.gpo.gov/fdsys/pkg/BILLS-111hr5116enr/pdf/BILLS-111hr5116enr.pdf.
  • American Psychological Association. 2010. Publication Manual of the American Psychological Association. 6th ed. Washington, DC: American Psychological Association.
  • ARRA (American Recovery and Reinvestment Act of 2009, H.R. 1, 111th Congress). 2009. http://www.gpo.gov/fdsys/pkg/BILLS-111hr1enr/pdf/BILLS-111hr1enr.pdf.
  • Au, W. 2011. “Teaching under the New Taylorism: High-Stakes Testing and the Standardization of the 21st Century Curriculum.” Journal of Curriculum Studies 43 (1): 25–45.
  • Baez, B., and D. Boyles. 2009. The Politics of Inquiry: Education Research and the “Culture of Science.” Albany: State University of New York.
  • Baltes, P. B. 1997. “On the Incomplete Architecture of Human Ontogeny: Selection, Optimization, and Compensation as Foundation of Developmental Theory.” American Psychologist 52 (4): 366–380.
  • Baraldi, A. N., and C. K. Enders. 2013. “Missing Data Methods.” In The Oxford Handbook of Quantitative Methods: Statistical Analysis. Vol. 2, edited by T. D. Little, 635–664. New York: Oxford University Press.
  • Bjorklund, D. F. 2012. Children’s Thinking: Cognitive Development and Individual Differences. 5th ed. Belmont, CA: Wadsworth.
  • Bower, C. B. 2013. “Social Policy and the Achievement Gap: What Do We Know? Where Should We Head?” Education and Urban Society 45 (1): 3–36.
  • Byrnes, J. P., and B. A. Wasik. 2009. “Factors Predictive of Mathematics Achievement in Kindergarten, First and Third Grades: An Opportunity-Propensity Analysis.” Contemporary Educational Psychology 34 (2): 167–183.
  • Carr, M., and N. Alexeev. 2011. “Fluency, Accuracy, and Gender Predict Developmental Trajectories of Arithmetic Strategies.” Journal of Educational Psychology 103 (3): 617–631.
  • Chingos, M. M. 2013. “Class Size and Student Outcomes: Research and Policy Implications.” Journal of Policy Analysis and Management 32 (2): 411–438.
  • Clements, D. H., J. Sarama, C. B. Wolfe, and M. E. Spitler. 2013. “Longitudinal Evaluation of a Scale-Up Model for Teaching Mathematics with Trajectories and Technologies: Persistence of Effects in the Third Year.” American Educational Research Journal 50 (4): 812–850.
  • Cole, J. C. 2008. “How to Deal with Missing Data: Conceptual Overview and Details for Implementing Two Modern Methods.” In Best Practices in Quantitative Methods, edited by J. W. Osborne, 214–238. Thousand Oaks, CA: Sage.
  • Crosswhite, F. J. 1979. “Book Review of Critical Variables in Mathematics Education: Findings from a Survey of the Empirical Literature.” Journal for Research in Mathematics Education 10 (5): 381–382.
  • Darling-Hammond, L., and J. Bransford, eds. 2005. Preparing Teachers for a Changing World: What Teachers Should Learn and be Able to Do. San Francisco, CA: Jossey Bass.
  • Diggle, P., and M. G. Kenward. 1994. “Informative Drop-Out in Longitudinal Data Analysis.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 43 (1): 49–93.
  • Education Sciences Reform Act of 2002, Public Law 107-279, 107th Congress. 2002. http://www.gpo.gov/fdsys/pkg/PLAW-107publ279/pdf/PLAW-107publ279.pdf.
  • Elo, S., and H. Kyngäs. 2008. “The Qualitative Content Analysis Process.” Journal of Advanced Nursing 62 (1): 107–115.
  • Enders, C. K. 2011. “Analyzing Longitudinal Data with Missing Values.” Rehabilitation Psychology 56 (4): 267–288.
  • Enders, C. K. 2013. “Dealing with Missing Data in Developmental Research.” Child Development Perspectives 7 (1): 27–31.
  • Executive Order No. 13642. 2013. “Making open and Machine Readable the New Default for Government Information.” Federal Register 78 (93). http://www.gpo.gov/fdsys/pkg/FR-2013-05-14/pdf/2013-11533.pdf.
  • Finch, S., G. Cumming, and N. Thomason. 2001. “Colloquium on Effect Sizes: The Roles of Editors, Textbook Authors, and the Publication Manual: Reporting of Statistical Inference in the Journal of Applied Psychology: Little Evidence of Reform.” Educational and Psychological Measurement 61 (2): 181–210.
  • Flinders, D. J., and S. J. Thornton, eds. 2009. Curriculum Studies Reader. 3rd ed. New York: Routledge.
  • Gonzales, P., T. Williams, L. Jocelyn, S. Roey, D. Kastberg, and S. Brenwald. 2009. Highlights from TIMSS 2007: Mathematics and Science Achievement of U.S. Fourth and Eighth-Grade Students in an International Context. Washington, DC: National Center for Education Statistics.
  • Groth, R. E. 2010. “Situating Qualitative Modes of Inquiry within the Discipline of Statistics Education Research.” Statistics Education Research Journal 9 (2): 7–21.
  • Halpern, D. 2014. What Works? Evidence for Decision Makers. What Works Network. Cabinet Office. https://www.gov.uk/government/publications/what-works-evidence-for-decision-makers.
  • Handelsman, J. 2015. “The Value of Basic Research.” https://m.whitehouse.gov/blog/2015/06/02/value-basic-research.
  • Hecht, S. A., and K. J. Vagi. 2010. “Sources of Group and Individual Differences in Emerging Fraction Skills.” Journal of Educational Psychology 102 (4): 843–859.
  • Heck, R. H., and P. Hallinger. 2009. “Assessing the Contribution of Distributed Leadership to School Improvement and Growth in Math Achievement.” American Educational Research Journal 46 (3): 659–689.
  • Higgins, S., M. Katsipataki, D. Kokotsaki, R. Coleman, L. E. Major, and R. Coe. 2014. The Sutton Trust – Education Endowment Foundation teaching and Learning Toolkit. London: Education Endowment Foundation.
  • Hsieh, H.-F., and S. E. Shannon. 2005. “Three Approaches to Qualitative Content Analysis.” Qualitative Health Research 15 (9): 1277–1288.
  • Institute of Educational Sciences. 2014a. “What Works Clearinghouse: Procedures and Standards Handbook.” http://ies.ed.gov/ncee/wwc/pdf/reference_resources/wwc_procedures_v3_0_standards_handbook.pdf.
  • Institute of Educational Sciences. 2014b. “What Works Clearinghouse: Topics in Education.” http://ies.ed.gov/ncee/wwc/topics.aspx.
  • Jeličić, H., E. Phelps, and R. M. Lerner. 2009. “Use of Missing Data Methods in Longitudinal Studies: The Persistence of Bad Practices in Developmental Psychology.” Developmental Psychology 45 (4): 1195–1199.
  • Johnson, B., and L. Christensen. 2012. Educational Research: Quantitative, Qualitative, and Mixed Approaches. 4th ed. Thousand Oaks, CA: Sage.
  • Kloosterman, P., Z. Rutledge, and P. A. Kenney. 2009. “Exploring Results of the NAEP: 1980s to the Present: Results of the Long-Term Trend Assessment (LTT) for Middle-Grades Students Show Positive Advancement.” Mathematics Teaching in the Middle School 14 (6): 357–365.
  • Krishnaratne, S., H. White, and E. Carpenter. 2013. Quality Education for all Children? What Works in Education in Developing Countries. New Delhi: International Initiative for Impact Evaluation (3ie). http://www.3ieimpact.org/media/filer_public/2013/09/10/wp_20.pdf.
  • Kuhn, T. S. 1996. The Structure of Scientific Revolution. 3rd ed. Chicago, IL: University of Chicago Press.
  • Labaree, D. F. 2011. “The Lure of Statistics for Educational Researchers.” Educational Theory 61 (6): 621–632.
  • Lesh, R., K. B. Chval, K. Hollebrands, C. Konold, M. Stephan, E. N. Walker, and J. Wanko. 2014. “The NCTM Research Precession: A Brief History and Reflection.” Journal for Research in Mathematics Education 45 (2): 157–172.
  • Little, R. J. A. 1988. “A Test of Missing Completely at Random for Multivariate Data with Missing Values.” Journal of the American Statistical Association 83 (404): 1198–1202.
  • Maxwell, J. A. 2004. “Causal Explanation, Qualitative Research, and Scientific Inquiry in Education.” Educational Researcher 33 (2): 3–11.
  • Maxwell, J. A. 2012. “The Importance of Qualitative Research for Causal Explanation in Education.” Qualitative Inquiry 18 (8): 655–661.
  • National Commission on Excellence in Education. 1983. A Nation at Risk: The Imperative for Educational Reform. Washington, DC: Department of Education.
  • National Mathematics Advisory Panel. 2008. Foundations for Success: The Final Report of the National Mathematics Advisory Panel. Washington, DC: U.S. Department of Education.
  • National Research Council. 2005. “Advancing Scientific Research in Education.” In Committee on Research in Education, edited by Lisa Towne, Lauress L. Wise, and Tina M. Winters, 120. Washington, DC: Center for Education, Division of Behavioral and Social Sciences and Education, The National Academies Press.
  • Newman, D. A. 2014. “Missing Data: Five Practical Guidelines.” Organizational Research Methods 17 (4): 372–411.
  • Pampaka, M., G. Hutcheson, and J. S. Williams. 2016. “Handling Missing Data: Analysis of a Challenging Data set Using Multiple Imputation.” International Journal of Research and Method in Education 39 (1): 19–37.
  • Peterson, P. E. 2013. “Revelations from the TIMSS: Half or More of Student Achievement Gains on NAEP are an Illusion. [Editorial].” Education Next 13: 5 http://educationnext.org/files/ednext_XIII_2_edletter.pdf
  • Peugh, J. L., and C. K. Enders. 2004. “Missing Data in Educational Research: A Review of Reporting Practices and Suggestions for Improvement.” Review of Educational Research 74 (4): 525–556.
  • Phillips, C. J. 2014. “The New Math and Midcentury American Politics.” Journal of American History 101 (2): 454–479.
  • Raykov, T., and G. A. Marcoulides. 2011. Introduction to Psychometric Theory. New York, NY: Taylor & Francis.
  • Rubin, D. B. 1976. “Inference and Missing Data.” Biometrika 63 (3): 581–592.
  • Shadish, W. R., T. D. Cook, and D. T. Campbell. 2002. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Belmont, CA: Wadsworth Cengage Learning.
  • Shin, Y., and S. W. Raudenbush. 2011. “The Causal Effect of Class Size on Academic Achievement: Multivariate Instrumental Variable Estimators with Data Missing at Random.” Journal of Educational and Behavioral Statistics 36 (2): 154–185.
  • Swars, S. L., S. Z. Smith, M. E. Smith, and L. C. Hart. 2009. “A Longitudinal Study of Effects of a Developmental Teacher Preparation Program on Elementary Prospective Teachers’ Mathematics Beliefs.” Journal of Mathematics Teacher Education 12 (1): 47–66.
  • Taylor, J., S. Kowalski, C. Wilson, S. Getty, and J. Carlson. 2013. “Conducting Causal Effects Studies in Science Education: Considering Methodological Trade-Offs in the Context of Policies Affecting Research in Schools.” Journal of Research in Science Teaching 50 (9): 1127–1141.
  • The Education Endowment Foundation. 2015. “About us: The Education Endowment Foundation.” https://educationendowmentfoundation.org.uk/about/.
  • U.S. Department of Education. 2002. “On the Horizon: State Accountability Systems.” http://www2.ed.gov/admins/lead/account/stateacct/edlite-index.html.
  • U.S. Department of Education. 2010. A Blueprint for Reform: The Reauthorization of the Elementary and Secondary Education Act. Washington, DC: Office of Planning, Evaluation and Policy Development.
  • Vigdor, J. L. 2013. “Solving America’s Math Problem: Tailor Instruction to the Varying Needs of the Students.” Education Next 13: 42–49.
  • Vukovic, R. K., M. J. Kieffer, S. P. Bailey, and R. R. Harari. 2013. “Mathematics Anxiety in Young Children: Concurrent and Longitudinal Associations with Mathematical Performance.” Contemporary Educational Psychology 38 (1): 1–10.
  • Wai, J., D. Lubinski, C. P. Benbow, and J. H. Steiger. 2010. “Accomplishment in Science, Technology, Engineering, and Mathematics (STEM) and its Relation to STEM Educational Dose: A 25-Year Longitudinal Study.” Journal of Educational Psychology 102 (4): 860–871.
  • Wiseman, A. W. 2010. “The uses of Evidence for Educational Policymaking: Global Contexts and International Trends.” Review of Research in Education 34 (1): 1–24.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.