References
- Ancker, J.S. and D. Kaufman. 2007. “Rethinking Health Numeracy: A Multidisciplinary Literature Review.” Journal of the American Medical Informatics Association 14: 713-721.
- Biemer, P., D. Trewin, H. Bergdahl, and L. Japec. 2014. “A System for Managing the Quality of Official Statistics.” Journal of Official Statistics 30: 381-415. Doi: http://dx.doi.org/10.2478/jos-2014-0022.
- Bregar, L., I. Ograjensˇek, and M. Bavdazˇ. 2000. “Teaching Economic Statistics in a Digital Environment.” In New approaches in applied statistics, edited by A. Ferligoj and A. Mrvar, 237-249. Available at: http://mrvar.fdv.uni-lj.si/pub/mz/mz16/abst/bregar.htm (accessed 30 August 2016).
- Bregar, L., I. Ograjensˇek, and M. Bavdazˇ. 2006. “Use of Web-Based Public Databases in Statistics Courses: Experiences and Challenges. ICOTS-7. Available at: http://iase-web.org/documents/papers/icots7/7A4_BREG.pdf (accessed 30 August 2016).
- Chance, B.L. and A.J. Rossman. 2001. “Sequencing Topics in Introductory Statistics: A Debate on What to Teach When.” The American Statistician 55: 140-144.
- Citro, C.F. and Straf, M.E. (Eds.). 2013. Principles and Practices for a Federal Statistical Agency. National Research Council, Committee on National Statistics, 5th ed. Washington: National Academy Press.
- Cobb, G.W. 2007. “The Introductory Statistics Course: A Ptolemaic Curriculum?” Technology Innovations in Statistics Education 1(1).
- Coddington, M. 2015. “Clarifying Journalism’s Quantitative Turn: A Typology for Evaluating Data Journalism, Computational Journalism, and Computer-Assisted Reporting.” Digital Journalism 3: 331-348.
- Daas, P.J., M.J. Puts, B. Buelens, and P.A. van den Hurk. 2015. “Big Data as a Source for Official Statistics.” Journal of Official Statistics 31: 249-262.
- Davies, N. 2011. “Developments of AtSchool Projects for Improving Collaborative Teaching and Learning in Statistics.” Statistical Journal of the IAOS 27(3, 4): 205-227.
- de Smedt, M. 2016. “European Statistics and Eurostat’s Contribution to Improving Statistical Literacy.” In J. Engel, Ed., Proceedings, IASE Roundtable on Promoting Understanding of Statistics About Society, Berlin. Available at: http://iaseweb.org/Conference_Proceedings.php?p=Promoting_Understanding_of_Statistics_about_Society_2016. (accessed 2 January, 2017).
- Deem, R. and L. Lucas. 2006. “Learning About Research: Exploring the Learning and Teaching/Research Relationship Amongst Educational Practitioners Studying in Higher Education.” Teaching in Higher Education 11(1) : 1-18.
- Engel, J., I. Gal, and J. Ridgway. 2016. “Mathematical Literacy and Citizen Engagement: The Role of Civic Statistics.” Paper presented at the 13th International Congress on Mathematics Education (ICME13).
- Forbes, S. and A. Keegan. 2016. “Helping Raise the Official Statistics Capability of Government Employees.” Journal of Official Statistics 32: 811-826.
- Freedman, D., R. Pisani, and R. Purves. 2007. Statistics (4th Ed). Norton.
- Gal, I. 2002. “Adult Statistical Literacy: Meanings, Components, Responsibilities.” International Statistical Review 70: 1-25.
- Gal, I. 2003a. “Teaching for Statistical Literacy and Services of Statistics Agencies.” The American Statistician 57: 80-84.
- Gal, I. 2003b. “Expanding Conceptions of Statistical Literacy: An Analysis of Products from Statistics Agencies.” Statistics Education Research Journal 2: 3-21. Available at: http://iase-web.org/documents/serj/serj2(1).pdf (accessed 30 August, 2016).
- Gal, I. 2005. “Towards ‘Probability Literacy’ for All Citizens.” In Exploring probability in school: Challenges for teaching and learning, edited by G. Jones, 43-71. London: Kluwer Academic Publishers.
- Gal, I. 2007. “Research Methods: Reflections on Teaching Frameworks and Research.” In Learning and teaching of Research methods at University, edited by M. Murtonen, J. Rautopuro, and P. Va¨isa¨nen. Turku, Finland: Finnish Educational Research Association.
- Gal, I. and S. Murray. 2011. “Users’ Statistical Literacy and Information Needs: Institutional and Educational Implications.” Statistical Journal of the IAOS 27(3-4): 185-195.
- Gal, I. and I. Ograjensˇek. 2010. “Qualitative Research in the Service of Understanding Learners and Users of Statistics.” International Statistical Review 78: 287-298.
- Gal, I., J. Ridgway, and J. Nicholson. 2016. “Exploration of Skills and Conceptual Knowledge Needed for Understanding Statistics About Society.” In J. Engel, Ed., Proceedings, IASE Roundtable on Promoting Understanding of Statistics About Society, Berlin. Available at: http://iase-web.org/Conference_Proceedings.php?p¼Promoting_Understanding_of_Statistics_about_Society_2016 (accessed 2 January, 2017).
- Gal, I. and J. Bosley. 2005. “Non-Specialist Users and Their Information Needs: An Exploratory Study at the US Bureau of Labor Statistics.” Proceedings, 55th World Statistics Congress, Sydney. Voorburg: International Statistical Institute. Available at: http://www.stat.auckland.ac.nz/,iase/publications/13/Gal-Bosley.pdf (accessed 30 July, 2016).
- Gal, I., M. van Groenestijn, M. Manly, M.J. Schmitt, and D. Tout. 2005. “Adult Numeracy and Its Assessment in the ALL Survey: A Conceptual Framework and Pilot Results.” In Measuring Adult Literacy and Life Skills: New Frameworks for Assessment, edited by S.T. Murray, Y. Clermont, and M. Binkley, 137-191. Ottawa, Canada: Statistics Canada.
- Geiger, V., M. Goos, and H. Forgasz. 2015. “A Rich Interpretation of Numeracy for the 21st Century: A Survey of the State of the Field.” ZDM 47(4): 531-548.
- Haack, D.G. 1979. Statistical Literacy: A Guide to Interpretation. Duxbury Press/ Wadsworth.
- Harraway, J.A. and S.D. Forbes. 2013. “Partnership Between National Statistics Offices and Academics to Increase Official Statistical Literacy.” Statistical Journal of the IAOS 29: 31-40.
- Helenius, R. and H. Mikkela¨. 2011. “Statistical Literacy and Awareness as Strategic Success Factors of a National Statistical Office: The Case of Statistics Finland.” Statistical Journal of the IAOS 27(3, 4): 137-144.
- Holt, D.T. 2008. “Official Statistics, Public Policy and Public Trust.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 171(2): 323-346. Doi: http://dx.doi.org/10.1257/jel.52.1.5.
- Karaali, G., E.H. Villafane Hernandez, and J.A. Taylor. 2016. “What’s in a Name? A Critical Review of Definitions of Quantitative Literacy, Numeracy, and Quantitative Reasoning.” Numeracy 9(1): Article 2. Doi: http://dx.doi.org/10.5038/1936-4660.9.1.2.
- Kilpatrick, J. 2001. “Understanding Mathematical Literacy: The Contribution of Research.” Educational Studies in Mathematics 47(1): 101-116.
- Lancaster, G.A. 2011. “How Statistical Literacy, Official Statistics and Self-Directed Learning Shaped Social Enquiry in the 19th and Early 20th Centuries.” Statistical Journal of the IAOS 27(3, 4): 99-111.
- Lusardi, A. and O.S. Mitchell. 2014. “The Economic Importance of Financial Literacy: Theory and Evidence.” Journal of Economic Literature 52(1): 5-44. Doi: http://dx.doi.org/10.1257/jel.52.1.5.
- MacCuirc, E. 2015. “You Don’t Teach, Students Learn: Lessons Learned in Statistical Literacy and Statistical Education in Ireland.” Austrian Journal of Statistics 44: 73-83. Available at: http://www.ajs.or.at/index.php/ajs/article/view/62 (accessed 30 July, 2016).
- MacKay, R.J. and R.W. Oldford. 2000. “Scientific Method, Statistical Method and the Speed of Light.” Statistical Science 15: 254-278.
- Madison, B.L. 2014. “How Does One Design or Evaluate a Course in Quantitative Reasoning?” Numeracy 7(2): 3. Doi: http://dx.doi.org/10.5038/1936-4660.7.2.3.
- Malone, C.J., J. Gabrosek, P. Curtiss, and M. Race. 2012. “Resequencing Topics in An Introductory Applied Statistics Course.” The American Statistician 64: 52-58.
- Meng, X. 2009. “Desired and Feared--What Do We Do Now and Over the Next 50 Years?” The American Statistician 63: 202-210.
- Moore, D.S. 2012. Statistics: Concepts & Controversies (8th Ed). Freeman.
- Moore, D.S. 1998. “Statistics Among the Liberal Arts.” Journal of the American Statistical Association 93: 1253-1259.
- Moore, D.S. and G.W. Cobb. 2000. “Statistics and Mathematics: Tension and Cooperation.” American Mathematical Monthly 107: 615-630.
- Murphy, P. 2002. “Teaching Official Statistics in an Irish University Statistics Department.” Proceedings, 6th International Conference on Teaching Statistics (ICOTS6), Pretoria, South Africa. Available at: http://iase-web.org/documents/papers/icots6/4e5_murp.pdf (accessed 30 July, 2016).
- Murtonen, M. 2015. “University Students’ Understanding of the Concepts Empirical, Theoretical, Qualitative and Quantitative Research.” Teaching in Higher Education 20(7): 684-698.
- Nathan, G. 2007. “Cooperation Between a Statistical Bureau and an Academic Department of Statistics as a Basis for Teaching Official Statistics.” Proceedings of the 56th Session, of the International Statistical Institute, Lisbon. Available at: http://iase-web.org/documents/papers/isi56/IPM43_Nathan.pdf (accessed 30 July, 2016).
- OECD. 2013a. PISA 2012 Results: What Students Know and Can Do: Student Performance in Reading, Mathematics and Science (Vol. I). Paris: OECD Publishing.
- OECD. 2013b. Skilled for life? Key Findings from the Survey of Adult Skills. Paris: OECD Publishing.
- OECD. 2004. Learning for Tomorrow’s World: First Results from PISA 2003. Paris: OECD Publishing.
- Ograjenšek, I. and I. Gal. 2016. “Enhancing Statistics Education by Including Qualitative Research.” International Statistical Review 84(2): 165-178. Doi: http://dx.doi.org/10.1111/insr.12158.
- Ograjenšek, I., M. Bavdazˇ, and L. Perviz. 2013. “Factors Influencing Integration of Official Statistics into Business Study Programmes: In Search of Evidence.” In proceedings of the 58th World Statistics Congress, Hong Kong. (STS40). Available at: www.statistics.gov.hk/wsc/STS087-P5-S.pdf (accessed 30 July, 2016).
- Pfeffermann, D. 2015. “Methodological Issues and Challenges in the Production of Official Statistics.” (24th Annual Morris Hansen Lecture). Journal of Survey Statistics and Methodology 3: 425-483.
- PIAAC Numeracy Expert Group. 2009. PIAAC Numeracy: A Conceptual Framework. OECD Education Working Papers, No. 35. Paris: OECD Publishing. Available at: www.oecd-ilibrary.org/education/piaac-numeracy-a-conceptual-framework_220337421165. Doi: http://dx.doi.org/10.1787/220337421165.
- Poljièak Sušec, M., N. Jerak Muravec, and H. Stane`iæ. 2014. “Statistical Literacy as an Aspect of Media Literacy.” Medijska istrazˇivanja 20(2): 131-155. Available at: http://hrcak.srce.hr/133811 (accessed 30 July, 2016).
- Ridgway, J. 2016. “Implications of the Data Revolution for Statistics Education.” International Statistical Review. Doi: http://dx.doi.org/10.1111/insr.12110.
- Ridgway, J., J. Nicholson, S. Sutherland, and S. Hedger. 2015. “Strategies for Public Engagement with Official Statistics.” In Proceedings, Advances in Statistics Education. IASE Satellite conference, Rio de Janeiro, Brazil. Available at: http://iase-web.org/documents/papers/sat2015/IASE2015%20Satellite%2038_RIDGWAY.pdf (accessed 30 July, 2016).
- Rutherford, J.F. 1997. “Thinking Quantitatively About Science.” In Why Numbers Count: Quantitative Literacy for Tomorrow’s America, edited by L.A. Steen, 69-74. New York: The College Board.
- Sanchez, J. 2008. Government Statistical Offices and Statistical Literacy. International Statistical Literacy Project and ISI. Available at: http://iase-web.org/islp/Publications.php?p¼Books (accessed 30 July, 2016).
- Schield, M. 2011. “Statistical Literacy: A New Mission for Data Producers.” Statistical Journal of the IAOS 27: 173-183.
- Stacey, K. 2015. “The Real World and the Mathematical World.” In Assessing Mathematical Literacy: The PISA Experience, edited by K. Stacey and R. Turner, 57-84. Springer.
- Steen, L.A. (Ed.). 2001. Mathematics and Democracy: The Case for Quantitative Literacy. Washington, D.C.: National Council on Education and the Disciplines. Available at: http://www.maa.org/sites/default/files/pdf/QL/MathAndDemocracy.pdf (accessed 30 July, 2016).
- Steenvoorden, T., T. R ˇ vigelj, and M. Bavdazˇ. 2015. “Satisfaction with Official Statistics Producers.” Statistical Journal of the IAOS 31(4): 645-654.
- Tintle, N., B. Chance, G. Cobb, S. Roy, T. Swanson, and J. VanderStoep. 2015. “Combating Anti-Statistical Thinking Using Simulation-Based Methods Throughout the Undergraduate Curriculum.” The American Statistician 69(4): 362-370.
- Tout, D. and I. Gal. 2015. “Perspectives on Numeracy: Reflections from International Assessments.” ZDM-The International Journal of Mathematics Education 47(4): 691-706.
- Townsend, Mary. 2011. “The National Statistical Agency as Educator.” Statistical Journal of the IAOS 27(3, 4): 129-136.
- United Nations. 2014. Fundamental Principles of Official Statistics. Available at: http://unstats.un.org/unsd/dnss/gp/FP-NEW-e.pdf (accessed 30 July, 2016).
- UNECE. 2012. Making Data Meaningful: A Guide to Improving Statistical Literacy. United Nations Economic Commission for Europe. Available at: http://www.unece.org/stats/documents/writing (accessed 30 July, 2016).
- Vehkalahti, K. 2016. “The Relationship Between Learning Approaches and Students’ Achievements in an Introductory Statistics Course in Finland.” In Proceedings, 60th ISI World Statistics Congress, Rio de Janeiro, Brazil.
- von Roten, F.C. 2006. “Do We Need a Public Understanding of Statistics?” Public Understanding of Science 15(2): 243-249. von Roten, F.C. and Y. de Roten. 2013. “Statistics in Science and in Society: From a Stateof- the-Art to a New Research Agenda.” Public Understanding of Science 22(7): 768-784.
- Watson, J.M. 2002. “Discussion: Statistical Literacy Before Adulthood.” International Statistical Review 70(1): 26-30.
- Watson, J. and R. Callingham. 2003. “Statistical Literacy: A Complex Hierarchical Construct.” Statistics Education Research Journal 2(2): 3-46. Available at: http://iase-web.org/documents/SERJ/SERJ2(2)_Watson_Callingham.pdf (accessed 30 July, 2016).
- Watson, J.M. 2013. Statistical Literacy at School: Growth and Goals. Routledge.
- Wild, C.J. and M. Pfannkuch. 1999. “Statistical Thinking in Empirical Enquiry.” International Statistical review 67: 223-248.
- Xu, L. and B. Zia. 2012. “Financial Literacy Around the World: An Overview of the Evidence with Practical Suggestions for the Way Forward.” World Bank Policy Research Working Paper #6107. Available at: http://elibrary.worldbank.org/doi/abs/10.1596/1813-9450-6107 (accessed 30 July, 2016).
- Zwick, M. 2016. “EMOS-Der European Master in Official Statistics.” In Human Resources, 127-141. Wiesbaden: Springer Fachmedien.