Centre for Applied Social Survey (CASS)
Supported by ESRC
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SHORT COURSE: Survey Data Analysis II
Presented by Pam Campanelli
and Nyovani Madise
Dates: 27-29 January 1999
Venue: University of Southampton
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The course will introduce participants to the use of statistical
modelling to study inter-relationships between variables. The
objectives of the course are:
a) to develop a practical understanding of the basic statistical
principles and methods of modelling relationships between variables.
b) to develop an understanding of assumptions behind the models,
the impact of violations, how violations can be diagnosed, and
possible solutions.
c) to enable participants to employ appropriate methods in analysing
their data.
The course will include the following topics: Covariance and
correlation, multiple regression, impact of violation of model
assumptions and possible solutions, model selection, and logistic
regression. The course will have a strong practical emphasis, with
regular sessions on computers enabling participants to work through
examples in SPSS for Windows.
Target Audience:
The course is aimed at researchers who need to perform basic
statistical analyses on data from sample surveys, especially those in
the social, economic, educational and medical sciences. Participants
are expected to have a basic knowledge of statistics such as
descriptive statistics and the concept of hypothesis testing.
Participants who need a basic refresher course are encouraged to
attend the introductory course "Survey Data Analysis I" (6-8 January
1999, also at Southampton).
Course Materials:
Participants will receive written course notes, copies of overhead
transparencies and a reading list.
The Instructors:
Pam Campanelli is an independent consultant. Previously she was a
Research Director at the Survey Methods Centre of SCPR. She
specialises in research on survey instruments, data collection and
interviewing techniques and regularly teaches in this area.
Nyovani Madise is the CASS Lecturer in the Social Statistics
Department at the University of Southampton. She specialises in the
statistical analysis of large survey data from developing countries
and teaches courses on multivariate data analysis and generalised
linear models.
Fee:
stlg350 (includes course materials, lunches and morning and afternoon
tea). Because of ESRC support, a number of bursaries are available
which reduce the fee to stlg75 - applicants must be full-time students,
UK academic staff or ESRC-funded researchers.
Registration forms and further details are available from
Rebecca Bundock
Department of Social Statistics
University of Southampton
Southampton SO17 1BJ
Fax: 01703 593846
Tel: 01703 593048
E-mail: [log in to unmask])
Registration forms and further details may also be downloaded from
http://www.alcd.soton.ac.uk/cass/courses/
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CASS is an ESRC Resource Centre hosted by SCPR and the University of
Southampton, with the University of Surrey
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