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Estimating interviewer variance under a measurement error model for continuous survey data
Stockholm University, Faculty of Social Sciences, Department of Statistics.
Manuscript (Other academic)
URN: urn:nbn:se:su:diva-22954OAI: diva2:189804
Part of urn:nbn:se:su:diva-1295Available from: 2006-10-18 Created: 2006-10-18 Last updated: 2010-01-13Bibliographically approved
In thesis
1. Estimating Interviewer Effects in Sample Surveys: Some Contributions
Open this publication in new window or tab >>Estimating Interviewer Effects in Sample Surveys: Some Contributions
2006 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis focuses on measurement errors that could be ascribed to the interviewers. To study interviewer variability a measurement error model is formulated which makes a clear distinction between three sources of randomness: the sample selection, interviewer assignment, and interviewing.

In the first paper the variance of the observed sample mean is derived, and it is seen how this variance depends on parameters of the measurement error model and on the number of interviewers. An estimator of the interviewer variance, which is seen to be unbiased, and a biased intra-interviewer correlation estimator are suggested. In a simulation study it is seen that the simulation variance of the interviewer variance estimator increases for both high and low interviewer assignments and seems to have a minimum somewhere in between.

The second paper presents an expression of the variance of the observed sample mean under stratified random sampling. Two possible estimators of the variance of the mean are considered, one of which has a slight positive bias, the other a negative bias, which can be large. Two different estimators of the interviewer variance are studied. Only one of them makes it possible to find a reasonable estimate of the intra-interviewer correlation.

In the third paper an expression for the variance of the interviewer variance estimator is derived. This result may prove useful in designing future studies of interviewer variance. For a large population it will be possible to use an approximate variance, irrespective of the underlying distribution of the unknown true values.

The fourth paper deals with some issues in planning and analyzing an interviewer variance study. Three problems are considered: (i) Determining the number of interviewers and the appropriate size of the interviewer assignments; (ii) Finding the probability of negative estimates of the interviewer variance; (iii) Testing for interviewer variance.

Place, publisher, year, edition, pages
Stockholm: Statistiska institutionen, 2006. 7 p.
Response variance, survey nonsampling error, interviewer effects, interpenetration, power
National Category
Probability Theory and Statistics
urn:nbn:se:su:diva-1295 (URN)91-7155-326-6 (ISBN)
Public defence
2006-11-08, Ahlmansalen, Geovetenskapens hus, Svante Arrhenius väg 8, Stockholm, 13:00
Available from: 2006-10-18 Created: 2006-10-18Bibliographically approved

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