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

dc.contributor.advisorMeyer, Ines
dc.contributor.authorSoeker, Naadir
dc.date.accessioned2021-09-29T16:45:17Z
dc.date.available2021-09-29T16:45:17Z
dc.date.issued2021
dc.date.updated2021-09-29T13:51:52Z
dc.description.abstractInterviewers 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.
dc.identifier.apacitationSoeker, N. (2021). <i>Interviewer effects in quantitative surveys using a door-to-door approach</i>. (). ,Faculty of Commerce ,School of Management Studies. Retrieved from http://hdl.handle.net/11427/34015en_ZA
dc.identifier.chicagocitationSoeker, Naadir. <i>"Interviewer effects in quantitative surveys using a door-to-door approach."</i> ., ,Faculty of Commerce ,School of Management Studies, 2021. http://hdl.handle.net/11427/34015en_ZA
dc.identifier.citationSoeker, N. 2021. Interviewer effects in quantitative surveys using a door-to-door approach. . ,Faculty of Commerce ,School of Management Studies. http://hdl.handle.net/11427/34015en_ZA
dc.identifier.ris TY - Master Thesis AU - Soeker, Naadir AB - 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. DA - 2021 DB - OpenUCT DP - University of Cape Town KW - management studies LK - https://open.uct.ac.za PY - 2021 T1 - Interviewer effects in quantitative surveys using a door-to-door approach TI - Interviewer effects in quantitative surveys using a door-to-door approach UR - http://hdl.handle.net/11427/34015 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/34015
dc.identifier.vancouvercitationSoeker N. Interviewer effects in quantitative surveys using a door-to-door approach. []. ,Faculty of Commerce ,School of Management Studies, 2021 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/34015en_ZA
dc.language.rfc3066eng
dc.publisher.departmentSchool of Management Studies
dc.publisher.facultyFaculty of Commerce
dc.subjectmanagement studies
dc.titleInterviewer effects in quantitative surveys using a door-to-door approach
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSocSc
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