We have still have places on the following Research Design and Analysis
courses running at the University of Manchester this month. All courses are
£120 (or £90 if from an educational institution). The best way to book is
online: www.ccsr.ac.uk/courses.htm.
Logistic Regression
Duration: 1 day; Course Fee: £120/£90. Course Leader: Dr Mark Tranmer.
Requirements: Familiarity with multiple regression will help; familiarity
with SPSS for Windows
Course Dates: 13 February 2002. 3 July 2002
This course examines the fitting of models to predict a binary response
variable from a mixture of binary and interval explanatory variables. The
approach is illustrated by modelling the prediction of limiting long-term
illness in a subset of data from 1991 Samples of Anonymised Records.
Exploratory Data Analysis
Duration: 1 day; Course Fee: £120/£90; Course Leaders: Dr Mark Brown and
Professor Angela Dale. Requirements: Familiarity with Windows and basic SPSS
is assumed
Course Dates: 22 February 2002
The course will provide an introduction to the basic approaches to
exploratory data analysis using the Samples of Anonymised Records from the
1991 Census. No knowledge of statistics is assumed. The course focuses on
hands-on learning through practical exercises, and covers the following:
ways of exploring variable distributions using tables and charts; use of
cross-tabulation and the use of control variables to explore the
relationship between variables, techniques for recoding and deriving new
variables; the use of weighting. More formal statistics covering the normal
distribution, sampling distributions, hypothesis testing and tests of
association for tables will also be covered and supported by a course
handbook.
Introduction to STATA
Duration: 1 day; Course Fee: £120/90. Course Leader: Dr Yaojun Li.
Requirements: Experience with data analysis an advantage but not a
precondition.
Course Dates: 27th February 2002
This course is intended for people in social science research who may or may
not have practical experience but who are new to Stata. The course covers
various aspects of data management and data analysis. Topics include:
opening and saving data files; writing and executing syntax (do) files;
exploratory analysis with frequencies, cross-tabulations, means and graphs;
merging and appending files; creating new or transforming existing variables
(gen, egen, recode, replace etc); making notes on data and variables;
reshaping and expanding files; keeping or dropping variables; creating loop
structures for repetitive jobs (for, foreach, X, etc); management and
analysis with hierarchical data. An Appendix with corresponding commands for
SPSS (where appropriate) is given for the benefit of those with experience
and knowledge of that package. Prior experience of data analysis would be an
advantage but not essential.
|