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Re: st: How to cluster in 2 x 2 tabulation


From   Bo MacInnis <bo@macinnis.org>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: How to cluster in 2 x 2 tabulation
Date   Thu, 20 Jan 2011 09:58:15 -0800

Steve, Thank you much for your insightful comments. You are right that clustering by interviewers does not change the point (frequency) estimates, but it does change (very slightly) the second-order Rao-Scott adjusted F-statistic and p-value, which is of the greatest interest to the project.

Interviewer effects? Oh yeah, a common suspect in survey research. It would involve some regression, and random effects model sounds good, but testing for interviewer effects is not of interest to the particular hypothesis in my current paper. Thank you for your helpful suggestions!! Bo

On 1/18/2011 5:57 PM, Steven Samuels wrote:

Bo, your question doesn't make sense to me. "Clustering" by interviewer in the -svyset- statement wouldn't change any of the estimates. It sounds like your Boss wants to know if there are interviewer effects. I think that some random effects model, perhaps ignoring some of the design, would provide the answer.

Steve

Steven J. Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax:    206-202-4783

On Jan 18, 2011, at 8:20 PM, Bo MacInnis wrote:

Wow! Thank you loads for your help! The simple solutions like such are particularly appreciated!!!

On 1/18/2011 3:01 PM, Stas Kolenikov wrote:
Most likely, all you need is

svyset interviewerID
svy : tabulate response form
svyset interviewerID [pw=weight]
svy : tabulate response form


On Tue, Jan 18, 2011 at 4:11 PM, Bo MacInnis<bo@macinnis.org>  wrote:
Dear Stata listmates,

I apologize for asking a possibly extremely simple question, but I have
looked and could not find the answer.

I have data on a cross-sectional survey with split sample design for one
of the questions of interest.

I need to use the split-sample design (questionnaire form A versus form
B) for a question X, and test whether the response to X (dichotomous) is
the same across questionnaire forms using Pearson's test statistics.
However, the boss would like to know the answer when we cluster by
interviewers (interviewer ID) who administered the telephone survey.

I have two questions:
1. how would you cluster by interviewer ID in two-way svy:tabulate?
2. how would you cluster by interviewer ID in two-way tabulate (without
adjusting for sample weight)?

Thank you for your help!
Bo

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