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ERIC Number: EJ766553
Record Type: Journal
Publication Date: 2006-Oct
Pages: 21
Abstractor: Author
ISBN: N/A
ISSN: ISSN-1033-2170
EISSN: N/A
Available Date: N/A
Easier Analysis and Better Reporting: Modelling Ordinal Data in Mathematics Education Research
Doig, Brian; Groves, Susie
Mathematics Education Research Journal, v18 n2 p56-76 Oct 2006
This paper presents an examination of the use of Rasch modelling in a major research project, "Improving Middle Years Mathematics and Science" (IMYMS). The project has generated both qualitative and quantitative data, with much of the qualitative data being ordinal in nature. Reporting the results of analyses for a range of audiences necessitates careful, well-designed report formats. Some useful new report formats based on Rasch modelling--the Modified Variable Map, the Ordinal Map, the Threshold Map, and the Annotated Ordinal Map--are illustrated using data from the IMYMS project. The Rasch analysis and the derived reporting formats avoid the pitfalls that exist when working with ordinal data and provide insights into the respondents' views about their experiences in schools unavailable by other approaches. (Contains 1 table and 7 figures.)
Mathematics Education Research Group of Australasia. MERGA-GPO Box 2747, Adelaide, South Australia 5001, Australia. Web Site: http://www.merga.net.au/
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A