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Scanning of questionnaires as a tool to identify difficult questions - lessons learned
Heinz, Andreas; van Duin, Claire; Catunda, Carolina et al.
2020HBSC Autumn Meeting 2020
 

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Keywords :
scanning; data entry; question difficulty; conversational maxims
Abstract :
[en] Background: In 2018, the Luxembourg HBSC team scanned the questionnaires to make the data available faster and to avoid entry errors. Scanning has been shown to be suitable for identifying difficult questions. Objective: The presentation shows which questions were difficult to answer and what the difficulty was. Method: The questionnaires were scanned by student assistants and the data was validated by them if the scanning programme did not detect any errors. If errors occurred (e.g. missing answers or multiple answers), then these questionnaires were checked by HBSC team members. This gave us a systematic overview of which questions were difficult to answer. Results 1. The data from 10000 questionnaires were entered in 6 weeks (half the time needed compared to manual entry in 2014). 2. The MVPA question was frequently the subject of multiple answers. This may indicate that these students use the answer scale as a counting aid. 3. Students who state that they have never smoked in their lives often skip the question about tobacco use in the last month. This behaviour can be explained by Grice's conversational maxims. 4. Behaviours indicating that the answers are not serious (crossed-out questions, crosses outside the boxes, fun answers to open questions) are rare. Conclusions: Scanning is an efficient way to enter many questionnaires in a short time and high quality. Furthermore, it can help to discover difficult questions and to find out what the difficulty is.
Disciplines :
Public health, health care sciences & services
Sociology & social sciences
Author, co-author :
Heinz, Andreas ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
van Duin, Claire ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
Catunda, Carolina ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
Kern, Matthias Robert ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC)
Willems, Helmut Erich ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
External co-authors :
no
Language :
English
Title :
Scanning of questionnaires as a tool to identify difficult questions - lessons learned
Publication date :
10 November 2020
Event name :
HBSC Autumn Meeting 2020
Event organizer :
Health Behaviour in School-aged Children Network
Event date :
9-11 November 2020
Audience :
International
Available on ORBilu :
since 10 November 2020

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