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Support #201

combining cross-sectional weights from wave 1 and 2

Added by Ferdinand Eibl over 10 years ago. Updated over 10 years ago.

Status:
Closed
Priority:
Normal
Assignee:
-
Category:
Data analysis
Start date:
09/18/2013
% Done:

100%


Description

We want to construct a 1980s cohort dataset using data from wave 1 and 2. We will only carry out cross-sectional analysis.

We were wondering how we should go about the cross-sectional weights and whether there was any potential problem in combining the cross-sectional adult main interview weights (indinus_xv) from both waves.

#1

Updated by Redmine Admin over 10 years ago

  • Category set to Data analysis
  • Target version set to X M
  • % Done changed from 0 to 80

The standard set of weights we provide allow extrapolation to UK figures depending on instruments and samples for every wave and across waves for balanced panel analysis. Users are advised to study the user guide carefully and select weights that fit their specific purpose. The weights we have provided so far are intended to cover the most common research purposes. For other purposes users will have to compute their own weights. While we do not provide weights which allow pooling data from multiple waves, it is possible to use the available weights in certain types of analysis using pooled data. See also advice given by the HILDA team for similar situations; http://melbourneinstitute.com/hilda/doc/datafaq.htm

We will pass on your request to our statistical department, so that they are aware of users’ interests in this area when they next review their release plans for the study.

#2

Updated by Olena Kaminska over 10 years ago

Ferdinand,

The cross-sectional weights are constructed to represent the population at the time of each wave. But for some analyses, users combined (pool) multiple waves. For pooled analysis you can combine our cross-sectional weights, including the weights for adult main interview.

#3

Updated by Redmine Admin over 10 years ago

  • Status changed from New to Closed
  • % Done changed from 80 to 100

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