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Support #785

Weighting for a complex sub-merged dataset

Added by Emily Lowthian over 5 years ago. Updated over 5 years ago.

Status:
Closed
Priority:
High
Assignee:
Category:
Weights
Start date:
05/16/2017
% Done:

40%


Description

Hi there,

I have read the user guide 1-6 section on weighting (pages 56 - 83), however I am still slightly lost in what weights I can apply to this dataset.

I hope to do a fixed/random effects longitudinal model to understand how traumatic events, i.e. parental fighting, physical and verbal abuse towards children, reported by the parents (in both the hh and individual questionnaire) effect young people's physical and mental well-being (using the youth completion questionnaires); parents answers will be sub-merged on to the young peoples cases. After I have understood this relationship - I intend to understand how measures of affluence - material deprivation, socioeconomic group, income etc - moderate this relationship.

I'm slightly confused what weighting to use as I will be using both hh, individual and youth data and I will be using the data from Wave 1, 2, 4 and 6 (data available).

At the moment I would use in your conventional format w_xxxyyzz_aa = 1_ythscus_lw - however there is no longitudinal weights for youth data.

Please could you guide me in what the appropiate decision would be to take on this matter?

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