Analysing hierarchical survey data
Wednesday 23 June 2004, 1:15
– 4:45
Room 3.51, Williamson Building, University of Manchester
This half-day workshop
provides a valuable introduction to methods of handling and analysing
hierarchical data. Most of our valuable surveys, for example the
General Household Survey and the Labour Force Survey have a hierarchical
structure with information collected on all individuals within
households. This allows us to analyse the relationship between
household members, to derive household classifications and to
summarise information about family and household members. The
workshop provides an introduction to the research value of hierarchical
data and to methods of analysing such data. Both SPSS and STATA
will be demonstrated, with the main focus on STATA because it
provides a very easy command-driven syntax for using hierarchical
data. Attendees may also want to attend the morning workshop on
‘Using government surveys for
research’
NB: this course does not
cover hierarchical data in a multilevel modelling context.
The slides from this event are avaiable.
Programme
| 1:15 |
Registration and coffee
|
| 1:30 |
Introduction to
hierarchical household survey data and demonstrations in SPSS
and STATA
- What is a hierarchy?
- What data is collected?
- Conceptualising of relationships
- Choosing units of analysis
- Working with hierarchical data in SPSS
- Constructing summary household variables using STATA
- Matching back to the individual file
- More complex derivations
|
| 3:15 |
Tea and practical exercise
|
| 4:45 |
Close
|
|
