The following talks on Statistics in Education will take place next week at the University of Nottingham.
All are welcome. For more details see below.
Bill Browne.
-------------------------------------------------
RSS East Midlands Local group talks on 'Statistics in Education'
Wednesday March 17th 2004 : 2:15pm-5pm
Talks will take place in University of Nottingham Maths/Physics Building room C5
2.15-3.00pm Harvey Goldstein, Institute of Education, University of London
Some Statistical Assumptions in PISA - a re-analysis
The OECD PISA (Programme for international student assessment) study has aroused great interest in the participating countries (http://www.pisa.oecd.org/pisa/summary.htm). It has been used to make statements about the relative performances of 16 year olds and, by implication, the comparative influences of different educational systems. The talk will look at some of the claims and assumptions built into the year 2000 study and report an analysis into the dimensionality structure of the items used.
-------------------------------------------------------------------------------
3.00-3.45pm Mark Gittoes, HEFCE
Multi-level models in Higher Education analyses
Do multi-level models have a role to play in analyses for higher education policy development? The talk will cover a number of multi-level analyses on higher education data including: The relationship between a student's post-16 schooling and his/her performance in higher education; The effect of non-academic term-time working on a student's achievement; and Equal opportunities in the 2001 Research Assessment Exercise.
--------------------------------------------------------------------------------
Coffee 3.45pm-4.15pm
--------------------------------------------------------------------------------
4.15-5.00pm Peter Holmes, Nottingham Trent University
Assessment in Statistics: A two-edged sword
It is often asserted that we have to assess students' work in statistics in order to maintain standards. Unfortunately the evidence is that many of the questions we ask and the overemphasis on assessment for qualifications can have the effect of encouraging statistical illiteracy. In this talk I want to look at this problem and consider whether we can learn anything for statistical education from the Deming approach to quality improvement.
Dr William Browne work phone : (0115) 9514940
Lecturer in Statistics home phone : (0115)9513373
Mathematical Sciences mobile : (0779) 1577701
University of Nottingham (Note this no. is also new)
University Park E-mail : [log in to unmask]
Nottingham NG7 2RD
web: http://www.maths.nott.ac.uk/htbin-local/staff.info?pmzwjb
web (MLwiN): http://multilevel.ioe.ac.uk/
web (Publ.): http://www.maths.nott.ac.uk/personal/pmzwjb/bill.html
|