Personal Values Strongly Predict Study Dropout

Participant dropout poses significant selectivity problems in longitudinal studies. Although it is often assumed that participant’s value structures predict future participation and dropout, there is insufficient evidence supporting this proposition. This study aims to contribute to the literature...

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Main Authors: Johannes Beller, Siegfried Geyer
Format: Article
Language:English
Published: European Survey Research Association 2021-08-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/7801
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author Johannes Beller
Siegfried Geyer
author_facet Johannes Beller
Siegfried Geyer
author_sort Johannes Beller
collection DOAJ
description Participant dropout poses significant selectivity problems in longitudinal studies. Although it is often assumed that participant’s value structures predict future participation and dropout, there is insufficient evidence supporting this proposition. This study aims to contribute to the literature by clarifying the relationship between participants’ personal values and study dropout. Data of the 2008 baseline sample of the German Aging Survey was used to predict future survey (non-)participation in subsequent follow-ups (N = 4442). Personal values were measured using the Portraits Value Questionnaire. It was found that different values had differential effects on survey dropout: Whereas higher achievement, security and power values predicted increased odds of dropout, higher benevolence, stimulation and self-direction values predicted decreased odds. Additionally, being older and having lower income were also associated with increased dropout. Therefore, participants’ personal values seem to have major influence on participant’s study participation behaviour. Given the importance of personal values in human behaviour, longitudinal research must account for these relationships for providing accurate scientific findings.
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spelling doaj.art-9f427463c70f4a7c876b427bdb4da9532022-12-22T03:44:35ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612021-08-0115310.18148/srm/2021.v15i3.7801Personal Values Strongly Predict Study DropoutJohannes Beller0Siegfried GeyerHannover Medical School Participant dropout poses significant selectivity problems in longitudinal studies. Although it is often assumed that participant’s value structures predict future participation and dropout, there is insufficient evidence supporting this proposition. This study aims to contribute to the literature by clarifying the relationship between participants’ personal values and study dropout. Data of the 2008 baseline sample of the German Aging Survey was used to predict future survey (non-)participation in subsequent follow-ups (N = 4442). Personal values were measured using the Portraits Value Questionnaire. It was found that different values had differential effects on survey dropout: Whereas higher achievement, security and power values predicted increased odds of dropout, higher benevolence, stimulation and self-direction values predicted decreased odds. Additionally, being older and having lower income were also associated with increased dropout. Therefore, participants’ personal values seem to have major influence on participant’s study participation behaviour. Given the importance of personal values in human behaviour, longitudinal research must account for these relationships for providing accurate scientific findings. https://ojs.ub.uni-konstanz.de/srm/article/view/7801ValuesDropoutAttritionLongitudinal
spellingShingle Johannes Beller
Siegfried Geyer
Personal Values Strongly Predict Study Dropout
Survey Research Methods
Values
Dropout
Attrition
Longitudinal
title Personal Values Strongly Predict Study Dropout
title_full Personal Values Strongly Predict Study Dropout
title_fullStr Personal Values Strongly Predict Study Dropout
title_full_unstemmed Personal Values Strongly Predict Study Dropout
title_short Personal Values Strongly Predict Study Dropout
title_sort personal values strongly predict study dropout
topic Values
Dropout
Attrition
Longitudinal
url https://ojs.ub.uni-konstanz.de/srm/article/view/7801
work_keys_str_mv AT johannesbeller personalvaluesstronglypredictstudydropout
AT siegfriedgeyer personalvaluesstronglypredictstudydropout