Teaching Sample Survey Design—A Project Using a Virtual Population

References

• ASA (2014), “Curriculum Guidelines for Undergraduate Programs in Statistical Science,” American Statistical Association, available at https://www.amstat.org/asa/files/pdfs/EDU-guidelines2014-11-15.pdf.
   Google Scholar
• ASA (2016), “GAISE College Report ASA Revision Committee, ‘Guidelines for Assessment and Instruction in Statistics Education College Report 2016’,” available at http://www.amstat.org/education/gaise.
   Google Scholar
• Baglin, J., Bedford, A., and Bulmer, M. (2013), “Students’ Experiences and Perceptions of Using a Virtual Environment for Project-Based Assessment in an Introductory Online Statistics Course,” Technology Innovations in Statistics Education, 7, 1–15.
   Google Scholar
• Baglin, J., and Huynh, M. (2015), “Using the Island to Teach Statistics Through Data Investigations: A Pilot Project in Australian Secondary Schools,” in Proceedings of the Australian Conference on Science and Mathematics Education, Curtin University, September 30th to October 1st, 2015, pp. 87–92, available at https://openjournals.library.sydney.edu.au/index.php/IISME/article/view/8785/9039.
   Google Scholar
• Baglin, J., Reece, J., and Baker, J. (2015), “Virtualising the Quantitative Research Methods Course: An Island-Based Approach,” Statistics Education Research Journal, 14, 28–52.
   Google Scholar
• Baglin, J., Reece, J., Bulmer, M., and Di Benedetto, M. (2013), “Simulating the Data Investigative Cycle in Less Than Two Hours: Using a Virtual Human Population, Cloud Collaboration and a Statistical Package to Engage Students in a Quantitative Research Methods Course,” in Proceedings of the Joint IASE/IAOS Satellite Conference, Macao, China, August, 2013, available at http://iase-web.org/documents/papers/sat2013/IASE_IAOS_2013_Paper_2.1.3_Baglin_et_al.pdf.
   Google Scholar
• Bulmer, M., and Haladyn, J. K. (2011), “Life on an Island: A Simulated Population to Support Student Projects in Statistics,” Technology Innovations in Statistics Education, 5(1), available at https://escholarship.org/uc/item/2q0740hv
   Google Scholar
• Fecso, R., Kalsbeek, W., Lohr, S., Scheaffer, R., Scheuren, F., and Stasny, E. (1996), “Teaching Survey Sampling,” The American Statistician, 50, 328–340. DOI: 10.2307/2684930.
   Web of Science ®Google Scholar
• Gomez-Blancarte, A., and Ortega, A. S. (2018), “Research on Statistical Projects: Looking for the Development of Statistical Literacy, Reasoning and Thinking,” in Proceedings of the International Conference on Teaching Statistics (ICOTS10), Kyoto, Japan, July 8–13, 2018, available at https://iase-web.org/icots/10/proceedings/pdfs/ICOTS10_1E3.pdf.
   Google Scholar
• Horton, N. J., and Hardin, J. S. (2015), “Teaching the Next Generation of Statistics Students to ‘Think With Data’: Special Issue on Statistics and the Undergraduate Curriculum,” The American Statistician, 69, 259–265. DOI: 10.1080/00031305.2015.1094283.
   Web of Science ®Google Scholar
• Hulsizer, M. R., and Woolf, L. M. (2008), Guide to Teaching Statistics: Innovations and Best Practices, Hoboken, NJ: Wiley.
   Google Scholar
• Huynh, M., Baglin, J., and Bedford, A. (2014), “Improving the Attitudes of High School Students Towards Statistics: An Island-Based Approach,” in Proceedings of the International Conference on Teaching Statistics (ICOTS9), Flagstaff, AZ, USA, July 13–18, 2014, available at https://icots.info/9/proceedings/pdfs/ICOTS9_9G2_HUYNH.pdf.
   Google Scholar
• Linden, M., Baglin, J., and Bedford, A. (2011), “Teaching Clinical Trial Design and Management Using an Online Virtual Environment,” in Proceedings of the Australian Conference on Science & Mathematics Education, Melbourne, Australia, September 28th–30th, 2011, pp. 107–113, available at http://openjournals.library.usyd.edu.au/index.php/IISME/article/view/4812.
   Google Scholar
• Lohr, S. L. (1999), Sampling: Design and Analysis, Pacific Grove, CA: Brooks/Cole Publishing Company.
   Google Scholar
• Lumley, T. (2010), Complex Surveys: A Guide to Analysis Using R, Hoboken, NJ: Wiley.
   Google Scholar
• Lumley, T. (2020), “Survey: Analysis of Complex Survey Samples,” R Package Version 4.0, available at https://cran.r-project.org/web/packages/survey/index.html.
   Google Scholar
• Prince, M. (2004), “Does Active Learning Work? A Review of the Research,” Journal of Engineering Education, 93, 223–231. DOI: 10.1002/j.2168-9830.2004.tb00809.x.
   Web of Science ®Google Scholar
• Tirlea, L., Baglin, J., Huynh, M., and Elphinstone, B. (2016), “A Pilot Experimental Study Comparing Different Active Learning Strategies for Understanding Sampling,” in OZCOTS 2016: Proceedings of the 9th Australian Conference on Teaching Statistics, Canberra, December 8–9, 2016, pp. 27–31, available at http://iase-web.org/documents/anzcots/OZCOTS_2016_Proceedings.pdf.
   Google Scholar