Survey Data Analysis II: Exploring Relationships
Venue: University of Cardiff, Wales, UK
Presenter: Dr Denise Silva
Dates of Course: Wednesday 17th - Friday 19th January 2007
This course has already run. Please check the course listings for a future course.
Summary of Course:
This course is designed to follow Survey Data Analysis I. The course will focus on the use of statistical modelling to study association between variables, including simple and multiple linear regression.
- To develop a practical understanding of the basic statistical principles and methods of modelling relationships between variables.
- To enable participants to employ appropriate methods in analysing their data.
- To develop a practical understanding of the principles of covariance, correlation, and simple and multiple linear regression.
- To go beyond basic principles in order to understand the assumptions behind the models, the impact of violations, how violations can be diagnosed and possible solutions.
- To develop an understanding on the reasons, use and implications of modelling categorical variables and interactions in linear regression analysis.
- Covariance and correlation
- Simple linear regression modelling
- Interpreting computer output
- Model checking and model selection
- Multiple regression modelling
- Handling categorical variables and interactions
The course will have a strong practical emphasis, with regular sessions on computers enabling participants to work through examples in SPSS for Windows.
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 simple statistical methods. They will previously have taken a course in introductory statistics and/or have completed Survey Data Analysis I (which is being run from 20-22 November 2006 at the University of Southampton). Students need to be familiar with the following before undertaking Survey Data Analysis II.
- estimation based on random (probability) samples;
- formulation of testable hypothesis;
- standardised comparisons between groups using means and proportions;
- standard errors and confidence intervals;
- analysis of variance;
- SPSS statistical package.
The course will have a strong practical emphasis, with regular sessions on computers, using SPSS for Windows and real survey data, to enable participants to work through examples. The pace of presentation will be considerably faster than on Survey Data Analysis I, so that more ground is covered.
Participants will receive written course notes.
Please remember to bring a calculator for use in the practical exercises.
Denise Silva is a lecturer at the Southampton Statistical Sciences Research Institute (S3RI) at the University of Southampton. She previously worked at the National School of Statistical Sciences, in Rio de Janeiro - Brazil, teaching a wide range of statistical courses as part of the BSc in Statistics and the MSc in Population Studies and Social Surveys. She also has several years of experience working in the design and analysis of household and business sample surveys at the Brazilian Central Statistical Office. Her main research interests focus on the design and analysis of sample surveys, time series analysis and statistical modelling in the social sciences. She completed her PhD in Statistics at the University of Southampton and has an MSc and a BSc in Statistics.
For UK-based academic researchers the fee is: £40 per day (you must be UK academic staff or an ESRC-funded researcher.)
For UK-registered students the fee is £20 per day
For non-academic researchers or non UK-based academic researchers and students the fee is: £175 per day.
The course fee includes course materials, lunches and morning and afternoon tea, but not accommodation which is to be arranged by the participant.
The course will be held at the University of Cardiff, School of Social Sciences Glamorgan Building, King Edward VII Avenue, Cardiff, CF10 3WT, Wales, UK. Further information can be found here.
The course will begin with registration at 10.00 a.m. on Wednesday, 17 January and end at 5.00 p.m. on Friday, 19 January. On Friday afternoon there will be an opportunity for participants to discuss with the instructor how to analyse their own data.
For those who would like to do preparatory reading the following references may be useful. Please note that this reading is optional and it will not be assumed that participants have done any preparatory reading.
- Neter, J., Kutner, M.H., Nachtsheim, C.J. and Wasserman, W. (1996). Applied Linear Statistical Models, 4th Edition. McGraw Hill, ISBN 071145672
- Kleinbaum, D., Kupper, L.L. and Muller, K.E. (1996). Applied Regression Analysis and Other Multivariate Methods, 3rd Edition. PWS-Kent Publications, ISBN 0534209106.
- Draper, N.R. and Smith, H. (2003). Applied Regression Analysis, 2nd Edition. Wiley, ISBN 0471170828.
Participants are left to book their own accommodation according to individual needs. Information can be obtained from here.
Deadlines and Refunds:
Course places are limited and early completion of this form is recommended. Payment must be made when submitting the registration form. Refunds for cancellation are as follows. Full refund for cancellation one calendar month before the course, no refunds can be made for cancellations after this date.