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Support #1765

Weights for unbalanced longitudinal analysis

Added by Rebecca Benson over 1 year ago. Updated over 1 year ago.

Status:
Resolved
Priority:
Normal
Assignee:
Category:
Weights
Start date:
09/01/2022
% Done:

100%


Description

I am planning an analysis using waves 1-11, looking at within-person changes over time. As I understand it, to use the supplied longitudinal weights as intended I would have to limit the sample to people who were in all waves up to the last wave included in my analysis. Because I want to maximise my sample size, I want to include anyone who responded in at least two waves. Apart from calculating new weights, I see two possible ways forward. Can you advise on the appropriateness of these?

1) Use cross sectional weights from wave 1. This has the advantage of maintaining representativeness of a known and defined population. But it has the disadvantage of not accounting for differential probabilities of dropout.

2) (after limiting sample to wave 1 participants) use longitudinal weights from each individual's last wave, scaled to the same implied population size. I think this accounts for differential probabilities of dropping out? But does it also fall into the problem mentioned the FAQ of defining a population based on survey response patterns?

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