Easier analysis and better reporting: Modelling ordinal data in mathematics education research

Mathematics Education Research Journal

Volumn 18, Issue 2, 2006, Pages 56-76

  Groves, Susie ^a   Doig, Brian ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77958610844     PISSN: 10332170     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03217436     Document Type: Article

References (21)

1. Adams, R. J., & Khoo, S.-T. (1996). Quest: The interactive test analysis system (Version 2) [Computer Software]. Melbourne: ACER
2. Baker, F. B. (2001). The basics of Item Response Theory (2nd ed.). College Park, MD: ERIC Clearinghouse on Assessment and Evaluation
3. Beltyukova, S. A., & Fox, C. M. (2004). Equating student satisfaction measures. Journal of Applied Measurement, 5(1), 62-69
4. Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Lawrence Erlbaum
5. Doig, B. (2001). Summing up: Australian numeracy performances, practices, programs and possibilities. Melbourne: ACER Press
6. Doig, B. (2003). Quality learning communities: Effective practices in the Middle Years of schooling. (Report prepared for the Middle Years Pedagogy Research and Development Project). Melbourne: Deakin University Consultancy and Development Unit
7. Doig, B., & Groves, S. (2005). Reason for hope: Primary students' mathematics learning environment. In Novotná, J. (Ed.), Proceedings of the International Symposium Elementary Maths Teaching (pp. 100-107). Prague, Czech Republic: Charles University
8. Doig, B., Groves, S., Tytler, R., & Gough, A. (2005). Primary and secondary mathematics practice: How different is it? In P. Clarkson, A. Downton, D. Gronn, M. Horne, A. McDonough, R. Pierce & A. Roche (Eds.), Building connections: Theory, research and practice (Proceedings of the 28th annual conference of the Mathematics Education Research Group of Australasia, Melbourne, Vol. 1, pp. 305-312). Sydney: MERGA
9. Gough, A., & Tytler, R. (2001). Researching effective teaching and learning in science: The Science in Schools research project. In Crossing borders: New frontiers in education research (Proceedings of the Australian Association for Research in Education, AARE 2001 International Education Research Conference, pp. 1-4). Fremantle, WA: AARE
10. Groves, S., & Doig, B. (2002). Developing conceptual understanding: the role of the task in communities of mathematical inquiry. In A. D. Cockburn & E. Nardi (Eds.), Proceedings of the 26th conference of the International Group for the Psychology of Mathematics Education (Vol. 3, pp. 25-32). Norwich, UK: PME
11. Haertel, E. H. (2004). The behavior of linking items in test equating. Los Angeles: CRESST/Stanford University
12. Kolen, M. J. (1999). Equating of tests. In G. N. Masters & J. P. Keeves (Eds.), Advances in measurement in educational research and assessment (pp. 164-185). Amsterdam: Pergamon
13. Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology (Number 140)
14. Masters, G. N. (1988). Partial Credit model. In J. P. Keeves (Ed.), Educational research, methodology, and measurement (pp. 292-297). Oxford, UK: Pergamon
15. Norusis, M. J. (1990). SPSS base system user's guide. Chicago: SPSS
16. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests (Expanded Edition). Chicago: University of Chicago Press
17. Siegal, S. (1956). Non-parametric statistics for the behavioral sciences (International Student Edition). New York: McGraw-Hill
18. Thorkildsen, T. A. (2005). Fundamentals of measurement in applied research. Boston, MA: Pearson Education
19. Tytler, R., Waldrip, B., & Griffiths, M. (2004). Windows into practice: Constructing effective science teaching and learning in a school change initiative. International Journal of Science Education, 26(2), 171-194
20. van den Heuvel-Panhuizen, M. (2005). Children's perspectives of the mathematics classroom. In J. Novotná (Ed.), Proceedings of the International Symposium Elementary Maths Teaching (pp. 23-33). Prague, Czech Republic: Charles University
21. Wright, B. D., & Masters, G. N. (1982). Rating scale analysis. Chicago: MESA Press