**Longitudinal research and ethnic group comparisons, challenges,
findings and future possibilities**
A lecture by Professor Lucinda Platt, Centre for Longitudinal Studies,
Institute of Education.
Venue - Stirling University.
The development of longitudinal research methods and resources has
dramatically enhanced our understanding of the social world. They have
offered new insights into causal processes; and have also revealed the
variations in people’s circumstances that occur year on year – and month
on month – challenging notions of stable groups such as ‘the poor’ or
the ‘unemployed’. At the same time we have begun to have a better
understanding of those factors associated with longer durations in a
given state, whether poverty, lone parenthood, marriage, or job. This
lecture outlines the contribution of longitudinal approaches and
explores a number of examples which have been able to shed light on
comparisons between ethnic groups in dynamic processes. Looking at
studies of welfare and poverty dynamics, social mobility, transitions
into worklessness, and educational trajectories, it highlights the
specific data sources that have been amenable to longitudinal analysis
across ethnic groups in the past by providing large sample sizes, such
as administrative data and the ONS Longitudinal Study, and moves on to
consider longitudinal social surveys that incorporate ethnic minority
oversamples, thus extending the possibilities for ethnic group
comparisons within longitudinal analysis.
Places must be booked at - http://aqmen.ac.uk/events/LongitudinalKE
**Drugs, Lost Villages and Bank Failure: Multidimensional Scaling to the
Rescue**
Venue: Room G.03 Informatics Forum, University of Edinburgh, 10 Crichton
Street, Edinburgh
A lecture by Professor Tony Coxon, Emeritus Professor of Sociological
Research Methods at the University of Wales and Professorial Research
Fellow, University of Edinburgh
Multidimensional Scaling (MDS) covers a whole family of models, deals
with a variety of levels of measurement and can be adapted to a wide
range of data-types. But it is often misrepresented as "a sort of
Factor analysis" or merely as a visualization technique to portray
complex data. In this talk, the intention is to show, by contrast, that
MDS is a robust, informative and significant means of inferring
structure relating to important substantive problems in a range of
disciplines, and using a variety of data-types.
Places must be booked at - http://aqmen.ac.uk/events/mdsKE
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Administration & Communications Officer
AQMeN
The University of Edinburgh
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