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Models for survey nonresponse and bias adjustment techniques

100%

Ayhan H. Ö.

Statistics in Transition new series

2023

vol. 24

issue 3

139-149

Survey statisticians have been dealing with the issues of nonresponse in sample surveys for many years. Due to the complex nature of the mechanism, so far it has not been easy to find a general solution to this problem. In this paper, several aspects of this topic will be elaborated on: the survey unit nonresponse bias has been examined alternatively by taking response amounts which are fixed initially and also by taking the response amounts as random variables. An overview of the components of the bias due to nonresponse will be performed. Nonresponse bias components are illustrated for each alternative approach and the amount of bias was computed for each case.

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

51%

Fahmi F. M., Ayhan H. Ö., Batmaz İ.

Statistics in Transition new series

2021

vol. 22

issue 2

67-93

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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2 Statistics in Transition new series

2 Ayhan H. Ö.

1 Batmaz İ.

1 Fahmi F. M.

1 2023

1 2021

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Models for survey nonresponse and bias adjustment techniques

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