Interviewer allocation through interview–reinterview nested design for response error estimation in sample surveys

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics, Statistics & Probability

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VOLUME 22 , ISSUE 2 (June 2021) > List of articles

Interviewer allocation through interview–reinterview nested design for response error estimation in sample surveys

Fidan Mahmut Fahmi / H. Öztaş Ayhan * / Ìnci Batmaz

Keywords : correlated response error, interviewer allocation assignments, quality of survey research, reinterview procedure, sample survey design

Citation Information : Statistics in Transition New Series. Volume 22, Issue 2, Pages 67-93, DOI: https://doi.org/10.21307/stattrans-2021-017

License : (CC BY-NC-ND 4.0)

Received Date : 29-June-2020 / Accepted: 08-January-2021 / Published Online: 13-June-2021

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ABSTRACT

In surveys, non-sampling errors, due to their complex nature, are more challenging to quantify compared to sampling errors. Avoiding the release of these errors, however, results in biased survey estimates. In our previous paper, we devised the best interviewer allocation technique by using a nested experimental design to study response error estimation. In this study, in order to illustrate the effectiveness of this methodology in a different context, we apply it in interview-reinterview surveys relating to the time use and life satisfaction of academicians at Middle East Technical University, Turkey. An analysis of the pilot survey data showed that only half of the data was reliable, while the other half revealed interviewer effects. Prior to the main survey, interviewers underwent training in the course of which particular emphasis was put on the above-mentioned questions. In effect, the previously observed response variances which accounted for the total variance and data unreliability, were reduced considerably, increasing the quality of the main survey.

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