Longitudinal Data Analysis
Dates: 30th May - 1st June 2012
Duration: 3 days
Level: Introductory
Course Fee: £525 (£375 for those from educational insitutions)
CCSR offers 5 free places to research staff and students within the Faculty of Humanities at the University of Manchester and the North West Doctoral Training Centre.
Course Leaders: Dr. Johan Koskinen, Dr Vanessa Gash, Professor Ian Plewis
Course Summary
The importance of longitudinal analysis is becoming increasingly recognized across the social and medical sciences. However there are few analysts with the methodological skills to make appropriate use of longitudinal data. This course is intended to meet this need.
Teaching Methods
The course will comprise 3 consecutive days of teaching. The 3 days of intensive training will be made up of lectures and computer-lab examples and exercises implemented with appropriate statistical software.
Course Aim
To provide students with the skills needed to design longitudinal research and conduct appropriate analyses using longitudinal data including the use of random effects models for repeated measures data and event history analysis.
Objectives
• To gain facility in the concepts, designs and terms of longitudinal research
• To be able to apply a range of different methods of longitudinal data analysis
• To have a general understanding of how each method is representing longitudinal
processes
• To be able to choose a design, appropriate method of analysis and plausible model for a
range of research questions.
Preliminary Reading
- Dobson, A. (2002). An introduction to generalized linear models. Chapman and Hall.
- Goldstein, H. (1995). Multilevel statistical models. London: Edward Arnold.
- Hosmer DW, Lemeshow S (1999). Applied survival analysis. Wiley.
- Singer, J,D and Willet, J,B (2003). Applied longitudinal data analysis. Modeling change and event occurrence, Oxford University Press.
- Snijders, T.A.B. and Bosker, R.J. (1999). Multilevel analysis. London: Sage.