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Design and Development of International Sampling Procedures for Comparative International Research in Mathematics Education: Challenges and Solutions

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Abstract

The design and development of international sampling procedures for FIRSTMATH was directed at resolving issues related to definitions, sampling, and methods before launching a larger comparative study of beginning mathematics teachers. Through the process of planning and enacting the FIRSTMATH study the research team was able to (a) develop a common definition of a “beginning teacher,” (b) determine feasible stratified sampling plans, (c) gain access to teachers and classrooms to collect data, and (d) achieve high response rates.

References

  1. Brown, J. A., Salehi, M. M., Moradi, M., Bell, G., & Smith, D. R. (2008). An adaptive two-stage sequential design for sampling rare and clustered populations. Population Ecology, 50(3), 239–245.Google Scholar
  2. Christman, M. C., & Lan, F. (2001). Inverse adaptive cluster sampling. Biometrics, 57, 1096–1105.CrossRefGoogle Scholar
  3. Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York, NY: Wiley.Google Scholar
  4. Johnson, B., & Christensen, L. (2008). Educational research: Quantitative, qualitative, and mixed approaches. Los Angeles, CA: Sage.Google Scholar
  5. OECD. (2014). TALIS 2013 results: An international perspective on teaching and learning. http://www.oecd.org/education/school/talis-2013-results.htm
  6. Reckase, M. D., Kim, S. & Ju, U. (2016, July). Estimating the probability that a unit will be included in a sequential cluster sample [paper presentation]. Psychometric Society International Meeting, Asheville, NC.Google Scholar
  7. Salehi, M. M., & Smith, D. R. (2005). Two-stage sequential sampling: A neighborhood-free adaptive sampling procedure. Journal of Agricultural, Biological, and Environmental Statistics, 10, 84–103.CrossRefGoogle Scholar
  8. Scheaffer, R., Mendenhall, W., III, Ott, R., & Gerow, K. (2011). Elementary survey sampling. Boston, MA: Brooks/Cole Cengage Learning.Google Scholar
  9. Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85, 1050–1059.CrossRefGoogle Scholar
  10. Thompson, S. K. (2012). Sampling (3rd ed.). Hoboken, NJ: Wiley.CrossRefGoogle Scholar
  11. Thompson, S. K., & Seber, G. A. F. (1996). Adaptive sampling. New York, NY: Wiley.Google Scholar
  12. UNESCO Institute for Statistics. (2012). International standard classification of education: ISCED 2011. http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-isced-2011-en.pdfGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Mary Lou Fulton Teachers CollegeArizona State UniversityTempeUSA
  2. 2.Educational PsychologyUniversity of MinnesotaMinneapolisUSA
  3. 3.College of EducationMichigan State UniversityEast LansingUSA
  4. 4.Center for Science, Mathematics & Computer EducationUniversity of Nebraska-LincolnLincolnUSA
  5. 5.Faculty of Mathematics and Informatics, the University of SofiaInstitute of Mathematics and Informatics, Bulgarian Academy of SciencesSofiaBulgaria
  6. 6.Oakland Community CollegeEast LansingUSA

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