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The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey

Longitudinal studies are essential for governments and organizations as they help in making decisions that are based on factual data. Longitudinal studies collect data repeatedly from a set of participants over a period of time, enabling the tracking and studying of entity behaviour at individual, o...

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Main Author: Choga, Ngonidzashe Nicholas
Other Authors: De Renzi, Brian
Format: Thesis
Language:English
Published: Department of Computer Science 2020
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access_status_str Open Access
author Choga, Ngonidzashe Nicholas
author2 De Renzi, Brian
author_browse Choga, Ngonidzashe Nicholas
De Renzi, Brian
author_facet De Renzi, Brian
Choga, Ngonidzashe Nicholas
author_sort Choga, Ngonidzashe Nicholas
collection Thesis
description Longitudinal studies are essential for governments and organizations as they help in making decisions that are based on factual data. Longitudinal studies collect data repeatedly from a set of participants over a period of time, enabling the tracking and studying of entity behaviour at individual, organizational, and national levels. One major challenge facing longitudinal data collection is the attrition of subjects during the course of the study, which is the continuous loss of participants during a longitudinal survey due to verbal drop-outs and non-response. Attrition can render datasets useless due to incomplete entries, making it one of the most significant weaknesses of longitudinal surveys. In order to explore the effects of incentives on attrition, this research project studies the effects of monetary and non-monetary incentives on explicit (subject says s/he does not want to be part of the study) and implicit (non-response) attrition. In particular, this study uses telephonically delivered feedback, derived from participant responses, as non-monetary incentives. To measure the effects of incentives on attrition, the study gave four treatments groups —50 participants each—mobile credit, verbally delivered feedback, machine delivered feedback and no incentive. After monitoring their attrition, over a 12-week period that involved bi-weekly surveys, a generalised linear model and Cochran’s q-test were used to find that monetary incentives remain the strongest in under-served community settings. It was not only found that monetary incentive treatments completed the most surveys most weeks, but also had the least explicit attrition. Surprisingly it was also found that machine delivered feedback performed similarly to mobile credit when the cost, social impact and participant behaviour in terms of their survey completion and attrition is assessed.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:51.499Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2020
publishDateRange 2020
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publisher Department of Computer Science
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spelling oai:open.uct.ac.za:11427/31393 The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey Choga, Ngonidzashe Nicholas De Renzi, Brian Rosenstock, Todd Computer Science Longitudinal studies are essential for governments and organizations as they help in making decisions that are based on factual data. Longitudinal studies collect data repeatedly from a set of participants over a period of time, enabling the tracking and studying of entity behaviour at individual, organizational, and national levels. One major challenge facing longitudinal data collection is the attrition of subjects during the course of the study, which is the continuous loss of participants during a longitudinal survey due to verbal drop-outs and non-response. Attrition can render datasets useless due to incomplete entries, making it one of the most significant weaknesses of longitudinal surveys. In order to explore the effects of incentives on attrition, this research project studies the effects of monetary and non-monetary incentives on explicit (subject says s/he does not want to be part of the study) and implicit (non-response) attrition. In particular, this study uses telephonically delivered feedback, derived from participant responses, as non-monetary incentives. To measure the effects of incentives on attrition, the study gave four treatments groups —50 participants each—mobile credit, verbally delivered feedback, machine delivered feedback and no incentive. After monitoring their attrition, over a 12-week period that involved bi-weekly surveys, a generalised linear model and Cochran’s q-test were used to find that monetary incentives remain the strongest in under-served community settings. It was not only found that monetary incentive treatments completed the most surveys most weeks, but also had the least explicit attrition. Surprisingly it was also found that machine delivered feedback performed similarly to mobile credit when the cost, social impact and participant behaviour in terms of their survey completion and attrition is assessed. 2020-02-28T12:15:18Z 2020-02-28T12:15:18Z 2019 2020-02-28T08:45:14Z Master Thesis Masters MSc http://hdl.handle.net/11427/31393 eng application/pdf Department of Computer Science Faculty of Science
spellingShingle Computer Science
Choga, Ngonidzashe Nicholas
The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
thesis_degree_str Master's
title The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
title_full The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
title_fullStr The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
title_full_unstemmed The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
title_short The effects of monetary and non-monetary incentives on respondent attrition in longitudinal survey
title_sort effects of monetary and non monetary incentives on respondent attrition in longitudinal survey
topic Computer Science
url http://hdl.handle.net/11427/31393
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