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Support #270

Weighting

Added by Victoria Peacey almost 10 years ago. Updated over 9 years ago.

Status:
Closed
Priority:
High
Assignee:
-
Category:
Data analysis
Start date:
06/16/2014
% Done:

100%


Description

Hi

I am using the first three waves of US data to look at job loss and associations with mental health and self-rated health. I think that I will restructure the three waves of data into 'time 1' and 'time 2' data (before job loss and after job loss, whether job loss occurs between waves 1 and 2 or between waves 2 and 3). By doing this I can pool together all the people who lost their job between wave 1 and wave 2, and between wave 2 and wave 3, and compare them with people who were continuously employed for two or more waves.

I want to do this to simplify the analysis so I can use logistic regression to look at the effect of job loss vs continuous employment on (dichotomised) health outcomes, taking health at baseline into account in the model. Perhaps you will think it is a terrible idea, in which case please let me know. My main worry though is that I don't know where to start with using weighting once the data has been reorganised in this way. I need the self-completion weights as the health outcome data is from the self-completion section, but do I need the longitudinal weight? And should I use the weight from the wave which is 'time 1', or something different?

Sorry this is rather complicated
Best wishes
Vicki

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