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Re: Districts as cluster-level for multi-level model [message #18953 is a reply to message #18796]

Tue, 24 March 2020 14:36

Bridgette-DHS
Messages: 3130
Registered: February 2013

Senior Member

Following is a response from DHS Research & Data Analysis Director, Tom Pullum:

The purpose of the svy adjustment is to compensate for the similarities of respondents within clusters, the under- and over-weighting of clusters, and stratification.

I would not recommend that you change to districts as the sampling units. The adjustments for clustering and sampling weights will be seriously thrown off.

The clusters, by definition, are the primary sampling units. If you shift to districts you will capture some if the intra-class correlation that goes into the svy calculation, but not nearly all of it, and the weighting adjustment, no matter how you do it, will be incorrect. The new weights would affect all the estimates and tabulations.

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[Message index]

		Districts as cluster-level for multi-level model By: dgodha on Sun, 23 February 2020 05:28
		Re: Districts as cluster-level for multi-level model By: Bridgette-DHS on Tue, 24 March 2020 14:36
		Re: Districts as cluster-level for multi-level model By: dgodha on Wed, 25 March 2020 04:57
		Re: Districts as cluster-level for multi-level model By: Bridgette-DHS on Mon, 30 March 2020 16:05

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