Researchers
David Byrne, University
of Durham
Wendy Olsen, University of Manchester
A Methods Briefing provides summary results from this project |
Aims and objectives
This project has two interlinked
aims:
- to develop the expertise of UK based researchers in the integrated
employment of a range of case centred methods including:
- Numerical Taxonomy Methods
- Qualitative Comparative Analysis
- Qualitative Statistical Modelling
- Traditional Case Study approaches
- to engage in a dialogical research exercise with researchers
about their needs for and understanding of case based approaches
in relation to the actual research problems with which they are
engaged
Rationale
One of the major tasks of social science is establishing how things
come to be as they are – establishing causal systems in the
real world. Although the social world is complex - you can’t
explain it in terms of single causes with single effects - traditional
quantitative approaches based on variable analysis have tended towards
such simple explanations.
Sociology has a long tradition of
using detailed comparisons across a range of cases. Recently developments
in computer based methods have facilitated an integration of quantitative
and qualitative approaches in a way which focuses upon the cases
and allows us to address the complexity of social causes.
This project combines
training in the use of such approaches with an exploration of the
way in which social researchers have thought about these issues
in the past and can develop new strategies in the future based on
case centred methods.
Workshops
The combined training
and research dialogues will be run through a series of two-day research
workshops to be held during July, September and December 2004 and
January 2005. Participants will be fully reimbursed for travel costs
and accommodation and training is free. There are 25 places available
and it is intended that participants will attend all the sessions
if possible. |
Workshop One - Numerical
taxonomy through time - exploring trajectories of cases and classifications
This will explore how
numerical taxonomy techniques can be used both to construct classifications
and, using longitudinal data sets, to explore the double dynamic
of cases through a set of classifications and of changes in the
classification system itself.. All discussion will be recorded and
be processed interpretatively using NVIVO as the basis of our report
on the workshop.
Workshop Two - what is a case? The fuzzy set approach
This will begin with
a presentation of the realist conception of the nature of cases
as this relates to Ragin’s proposal that we consider cases
as ‘configurations’. This format of beginning with a
conceptual discussion of the logic of enquiry will be common to
all the workshops. We will then proceed to an exposition of Ragin’s
fuzzy set method and a training workshop in the application of the
method using examples drawn from our own work.
Workshop Three - Qualitative statistical modelling
In this workshop we explore
how researchers combine multiple data types, ie survey data and
qualitative data, with qualitative and multi-level modelling. We
explore what types of levels exist and how they interact and interrelate
in specific research contexts.
Workshop Four - The Case Study
The case study method
traditionally aims to represent between one and twenty contrasting
cases whilst we recommend its augmentation with an overview of the
organically changing system — the ‘case’ redefined.
The traditional case study method will be extended by emphasizing
systematic comparison among cases and by exploring cases understood
as nested open systems. The approach will use developed iterative
methodological pluralism.
How to apply
Since this series is
free and represents about £2,500 worth of resources, we propose
to allocate places on a competitive basis. Intending participants
should submit a one page application outlining their reasons for
wishing to participate in this series (word attachments are fine)
to dave.byrne@durham.ac.uk. Participants will be notified of acceptance
by 31 March 2004.
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