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Nonresponse Bias in The Survey of Youth Understanding of Science and Technology in Bogotá

100%
Castellanos E. M. B.
Statistics in Transition new series
|
2012
|
vol. 13
|
issue 1
79-94
EN
The Colombian Observatory of Science and Technology -OCyT- developed, in 2009, a survey about understanding of Science and Technology in students of high school in Bogotá, Colombia. The sampling design was stratified according to the nature of school (public or private). Two sources of unit nonresponse were detected. The first one corresponds to schools that did not allowed to collect information. The second source corresponds to students who did not assist during the days when survey was applied. Estimates were obtained through two different approaches. Results obtained in both cases do not show visible differences when estimating ratios; even though, some great differences were observed when estimating totals. Results obtained using the second approach are believed to be more reliable because of the methodology used to handle item nonresponse.
2
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Paid work versus accessibility in surveys: Are we running the risk of nonresponse bias? The example of ESS 5 in Poland

100%
Sztabiński P. B.
ASK. Research and Methods
|
2014
|
vol. 23
79-101
EN
Research data shows that nonresponse in surveys is increasingly connected with respondents’ lack of time caused, among others, by respondents’ performance of paid work. Since paid work is one of the key sociological characteristics, the underrepresentation of working citizens creates a risk of nonresponse bias in surveys. This paper draws on data from the fifth round of the European Social Survey in Poland to demonstrate how realistic this risk is. Apart from paid work, the paper analyses three dimensions of workload: total work hours, regular/irregular nature of work and place of residence/place of work (the same or different location) and time spent commuting to/from work. The results of our analysis show that there is a risk of nonresponse bias associated with the performance of paid work and time spent commuting to/from work in another location. This risk may be reduced by increasing the number of contact attempts with hard-to-reach respondents.
3
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Models for survey nonresponse and bias adjustment techniques

88%
Ayhan H. Ö.
Statistics in Transition new series
|
2023
|
vol. 24
|
issue 3
139-149
EN
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.
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