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Essex Summer School in Social Science Data Analysis & Collection:2002
by Summer School Director
21 March 2002 02:38 UTC
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Please draw this to the attention of your colleagues.


             The 35'th Essex Summer School 
                          in 
             Social Science Data Analysis 
                         and
                     Collection 
                
              6 July - 16 August 2002 


This year's Essex Summer School in Social Science Data Analysis
and Collection will offer over 50 one and two-week
introductory, intermediate and advanced courses on
topics which include:

social survey design and analysis, sampling, 
regression, multilevel analysis, time series analysis,  
latent class analysis, discourse analysis, game theory,
rational choice, social theory,data visualisation and data mining,
social network analysis, structural equation models,
logit, probit and other generalised models,
maximum likelihood estimation and limited dependent variables,
geographical information systems, socio-legal research methods,
qualitative data analysis, focus groups, interviewing,
participant observation, content analysis, SPSS, Amos, Stata,
British Household Panel Survey, time budget collection and Analysis and
comparative policy analysis. 

New courses this year include:

                 Bayesian Methods for Social Science Data Analysis
                 Conflict Modelling and Analysis
                 Simultaneous Equation Models
                 Ecological Analysis
                 Multidimensional Scaling
                 Introduction to STATA
                 Scale Analysis: Developing Measurement Instruments
                 Sampling, Non-Response and Weighting

A small number of ESRC bursaries are available to participants from 
British academic institutions. 
  
For further details see URL <http://www.essex.ac.uk/methods> 
or 
e-mail sumsch@essex.ac.uk 
or 
write to
The Essex Summer School in Social Science Data Analysis and Collection
University of Essex 
Colchester, Essex CO4 3SQ, 
United Kingdom 
or 
Fax [international] 44-1206-873598 [UK/Eire] 01206-873598 
or 
telephone [international] 44-1206-872502 [UK/Eire] 01206-872502. 




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