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Interviewer effects in quantitative surveys using a door-to-door approach

Interviewers are a principal source of error in quantitative surveys. While surveys are often self-administered (e.g. in online surveys), it is often required to administer these face-to- face. This is the case, for example, in census surveys in low-income areas where there is little internet penetr...

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Main Author: Soeker, Naadir
Other Authors: Meyer, Ines
Format: Thesis
Language:English
Published: School of Management Studies 2021
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access_status_str Open Access
author Soeker, Naadir
author2 Meyer, Ines
author_browse Meyer, Ines
Soeker, Naadir
author_facet Meyer, Ines
Soeker, Naadir
author_sort Soeker, Naadir
collection Thesis
description Interviewers are a principal source of error in quantitative surveys. While surveys are often self-administered (e.g. in online surveys), it is often required to administer these face-to- face. This is the case, for example, in census surveys in low-income areas where there is little internet penetration, like that of the quality-of-life surveys presently being conducted in multiple countries through a residential door-to-door approach (Carr et al., 2018). In such situations, the social interaction between the interviewer conducting the survey and the interviewee is likely to introduce bias into the survey data collected. Interviewer effects (IE) can influence both item non-response and answer quality, i.e., participants not providing the true answer (Harling, et al., 2019). In an attempt to gain more representative data, this study conducted an exploratory analysis on the possible antecedents and consequences of interviewer effects using the Living Wage survey presently being conducted in South Africa, as the study context. To this end, I examine the systematic biasing effects associated with deploying the same group interviewers (n = 10), of the same ethnicity, age, and of equal gender distribution across five sampling areas in Cape Town in a quasi-experimental design (n = 282). This study highlighted that each interviewer is associated with a unique set of systematic bias that varies dependent on the survey item type. Sensitive items requiring respondents to disclose personal information were the most prone to bias, followed by interviewer-referencing and attitudinal items sequentially. Furthermore, this study found that gender differences in the interview had a marginal influence on the attitudes respondents are willing to share. I hope to contribute to an understanding and critical consideration of the antecedents and consequences of deploying human interviewers for collecting quantitative surveys, especially in a context where ethnic, gender and political differences are loaded in social interactions and are likely to contribute to respondents obscuring their responses.
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provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
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spelling oai:open.uct.ac.za:11427/34015 Interviewer effects in quantitative surveys using a door-to-door approach Soeker, Naadir Meyer, Ines management studies Interviewers are a principal source of error in quantitative surveys. While surveys are often self-administered (e.g. in online surveys), it is often required to administer these face-to- face. This is the case, for example, in census surveys in low-income areas where there is little internet penetration, like that of the quality-of-life surveys presently being conducted in multiple countries through a residential door-to-door approach (Carr et al., 2018). In such situations, the social interaction between the interviewer conducting the survey and the interviewee is likely to introduce bias into the survey data collected. Interviewer effects (IE) can influence both item non-response and answer quality, i.e., participants not providing the true answer (Harling, et al., 2019). In an attempt to gain more representative data, this study conducted an exploratory analysis on the possible antecedents and consequences of interviewer effects using the Living Wage survey presently being conducted in South Africa, as the study context. To this end, I examine the systematic biasing effects associated with deploying the same group interviewers (n = 10), of the same ethnicity, age, and of equal gender distribution across five sampling areas in Cape Town in a quasi-experimental design (n = 282). This study highlighted that each interviewer is associated with a unique set of systematic bias that varies dependent on the survey item type. Sensitive items requiring respondents to disclose personal information were the most prone to bias, followed by interviewer-referencing and attitudinal items sequentially. Furthermore, this study found that gender differences in the interview had a marginal influence on the attitudes respondents are willing to share. I hope to contribute to an understanding and critical consideration of the antecedents and consequences of deploying human interviewers for collecting quantitative surveys, especially in a context where ethnic, gender and political differences are loaded in social interactions and are likely to contribute to respondents obscuring their responses. 2021-09-29T16:45:17Z 2021-09-29T16:45:17Z 2021 2021-09-29T13:51:52Z Master Thesis Masters MSocSc http://hdl.handle.net/11427/34015 eng application/pdf School of Management Studies Faculty of Commerce
spellingShingle management studies
Soeker, Naadir
Interviewer effects in quantitative surveys using a door-to-door approach
thesis_degree_str Master's
title Interviewer effects in quantitative surveys using a door-to-door approach
title_full Interviewer effects in quantitative surveys using a door-to-door approach
title_fullStr Interviewer effects in quantitative surveys using a door-to-door approach
title_full_unstemmed Interviewer effects in quantitative surveys using a door-to-door approach
title_short Interviewer effects in quantitative surveys using a door-to-door approach
title_sort interviewer effects in quantitative surveys using a door to door approach
topic management studies
url http://hdl.handle.net/11427/34015
work_keys_str_mv AT soekernaadir interviewereffectsinquantitativesurveysusingadoortodoorapproach