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are a significant number of researchers who want to be able to ‘consume’
research that uses multi-level modelling and/or time-series analysis.
This must be considered in light of the limited knowledge most educational
researchers have in this area. Rather than concentrate on one particular
method of analysing numerical datasets this programme theme will explore
the analysis of longitudinal data (drawing from the work of the large-scale
secondary datasets programme theme) using a range of methods – perhaps
concentrating on the relationships and relative merits of different ways
of analysing such data. Due to the limited use of such data analysis in
educational research this theme should identify ways of how such data
analysis could be used in educational research. However, this theme must
also address the needs of a few educational researchers who have particular,
more sophisticated needs (since there are so few with these skills already).
It should also be noted that there was a high need to undertake longitudinal
studies – this may be incorporated in this programme theme. See
also the theme 'Role of Numbers'.
13-14 2004, Multilevel Modelling Workshop 2, Cardiff University
workshop is designed to be more ‘hands on’ with a mixture
of demonstrations by the tutors and working through data analysis examples
by the participants using MLwiN. Issues to be covered include an introduction
to multilevel models, continuous and binary responses, multivariate
data, repeated measures data, cross classified and multiple membership
models and the use of MCMC methods. The emphasis throughout will be
on conceptual understanding and an appreciation of the weaknesses as
well as the strengths of the technique. It is anticipated that participants
will be able to discuss their own data sets, and there will be provision
for some analysis of participants’ own data.The presenters are
Harvey Goldstein and Jon Rasbash who work in the Centre for Multilevel
Modelling at the Institute of Education, University of London and the
Centre for Multilevel Modelling at the University of Bristol.
should have a good working knowledge and experience with analysis of
statistical data, including the use of multiple regression.Please
click here for more information.
19 2004, Introduction to Multilevel Modelling, University of Leicester
a one-day workshop being led by Professor Harvey Goldstein and John
Rasbash of the Centre for Multilevel Modelling at the Institute of Education,
University of London. Issues to be covered include the calculation of
confidence intervals for value added scores, the importance of allowing
for 'differential value added effects’ e.g. that depend on initial
achievement and the use of aggregate data such as school means. The
emphasis throughout will be on conceptual understanding and an appreciation
of the weaknesses as well as the strengths of the technique. Please
click here for more information.
introductory session may be followed by a further hands-on practical
workshop - please revisit the RCBN website for updates information.
in complex statistical analysis
has the resources to help provide immediate and direct consultation
from experts in the area of complex statistics. The RCBN can help identify
the type of expertise you may require and who could provide this. Alternatively,
you may already have a good idea of the expertise you require. In either
case the RCBN can provide some of the resources necessary to access
and share such expertise. Please contact
the RCBN to discuss your particular requirements.
if you are able and willing to offer your expertise in complex statistical
analysis to other researchers then please contact
the RCBN. We can cover many of the costs incurred from assisting
other researchers in analysing their data.
Outcome evaluations: introduction to the use and application of outcome
evaluations in teaching and learning research; 1-day training workshop
(Southampton); 10 places
Research Capacity journal
R (2002) What is an effect size?, Building
Research Capacity, 4, pp.6-8
S (2003) Anyone can calculate conditional probabilities,
Building Research Capacity, 5, pp.9-11
S (2002) What do statistical tests signify?, Building
Research Capacity, 2, pp.4-5
K (2002) Measuring quantities: the qualitative foundation of quantity,
Building Research Capacity, 2, pp.3-4
K (2002) Belief and subjectivity in research: an introduction to Bayesian
theory, Building Research Capacity,
of Numeric Data in Learning and Teaching
This website provides resources, case studies, recommendations and research
on the use of numeric data in learning and teaching, primarily for undergraduate
and postgraduate students. It focuses upon the use of existing national
data resources that are readily available to all learners.
Centre for Applied Statistics, Lancaster University
The Centre's activities include statistical
research, postgraduate training, the provision of statistical consultancy
services for University staff and research students and a short course
programme open to external participants.
Royal Statistical Society
The RSS is one of the premier statistical societies in the world, with
a high international reputation.
Services Centre, University of Reading
in statistical consultancy, short courses and training UK and overseas.
Consultants provide a total solution to clients working in the statistics,
econometrics, operational research or mathematical fields.
TRAMSS aims to develop a web-based learning and teaching resource for
quantitative social science researchers, students and trainers.