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Implementation of the forced answering option within online surveys: Do higher item response rates come at the expense of participation and answer quality?
Author(s) -
Jean Philippe Décieux,
Alexandra Mergener,
Kristieufang,
Philipp Sischka
Publication year - 2015
Publication title -
psihologija
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.222
H-Index - 16
eISSN - 1451-9283
pISSN - 0048-5705
DOI - 10.2298/psi1504311d
Subject(s) - respondent , dropout (neural networks) , quality (philosophy) , psychology , question answering , data quality , set (abstract data type) , missing data , order (exchange) , data collection , test (biology) , data set , social psychology , computer science , statistics , information retrieval , business , marketing , mathematics , artificial intelligence , political science , paleontology , metric (unit) , philosophy , epistemology , finance , machine learning , biology , law , programming language
Online surveys have become a popular method for data gathering for many reasons, including low costs and the ability to collect data rapidly. However, online data collection is often conducted without adequate attention to implementation details. One example is the frequent use of the forced answering option, which forces the respondent to answer each question in order to proceed through the questionnaire. The avoidance of missing data is often the idea behind the use of the forced answering option. However, we suggest that the costs of a reactance effect in terms of quality reduction and unit nonresponse may be high because respondents typically have plausible reasons for not answering questions. The objective of the study reported in this paper was to test the influence of forced answering on dropout rates and data quality. The results show that requiring participants answer every question increases dropout rates and decreases quality of answers. Our findings suggest that the desire for a complete data set has to be balanced against the consequences of reduced data quality

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