Dear Colleague,
The new CASS short course programme for 2009/10 is now out and includes courses on:
• Regression Methods (Dr Denise Silva)
• Introduction to Survey Sampling and Estimation (Dr Pedro Silva)
• Structural Equation Modelling for Cross-Sectional and Panel Data (by Dr Patrick Sturgis)
• Survey Data Analysis I: Introducing Descriptive and Inferential Statistics (by Dr Olga Maslovskaya and Dr Gabriele Durrant)
• Questionnaire Design (by Dr Pamela Campanelli)
• Paradata in Survey Research (by Frauke Kreuter, Mick Couper and Gabriele Durrant)
• Survey Data Analysis II: Introduction to Linear Regression Modelling (by OIga Maslovskaya and Gabriele Durrant)
• Designing Effective Web Surveys (by Mick Couper)
• Methods for Missing Data: Multiple Imputation and Inverse Probability Weighting (by Dr James Carpenter)
• Essentials of Survey Design and Implementation (by Dr Pamela Campanelli)
• Longitudinal Data Analysis (by Prof Peter Smith, Dr Ann Berrington and Dr Marcel Vieira)
• Applied Multilevel Modelling (by Dr Ian Brunton-Smith and Dr Gabriele Durrant)
Courses will be held in Southampton, London, Manchester, Edinburgh and Cardiff.
Please find further information at:
http://www.s3ri.soton.ac.uk/cass/programme.php
CASS is a programme of short courses covering topics in survey design, data collection and data analysis methods. Courses are aimed at academic social scientists and applied researchers in government, market research and the independent and voluntary sectors.
Teaching is interactive and responsive to course participants' needs. All courses include practical sessions or computer workshops to enable participants to put the learned methods into practice.
CASS regularly attracts international presenters and experts in their fields, such as staff from the US Joint Programme in Survey Methodology at the University of Maryland.
If you have any further questions please contact us at [log in to unmask] or look at our website www.southampton.ac.uk/cass
Please note that spaces are limited and early booking is recommended.
Best wishes
Your CASS team
email: [log in to unmask]
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