Computer-Adaptive Surveys (CAS) as a means of answering questions of why

Conference paper


Sabbaghan, S, Gardner, L and Chua, CEH (2017). Computer-Adaptive Surveys (CAS) as a means of answering questions of why.
AuthorsSabbaghan, S, Gardner, L and Chua, CEH
TypeConference paper
Abstract

© PACIS 2017. Traditional surveys are excellent instruments for establishing the correlational relationship between two constructs. However, they are unable to identify reasons why such correlations exist. Computer-Adaptive Surveys (CAS) are multi-dimensional instruments where questions asked of respondents depend on the previous questions asked. Their principal advantage is they allow the survey developer to input a large number of potential causes. Respondents then roll down through the causes to identify the one or few significant causes impacting a correlation. This study compared a café satisfaction CAS to a traditional survey of the same item bank to test whether CAS performs its intended task better than a traditional survey. Our study demonstrates that when one is trying to find root cause, CAS achieves a higher response rate, requires fewer items for respondents to answer, has better item discrimination, and has a higher agreement among respondents for each item.

Year2017
JournalProceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017
Accepted author manuscript
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Open
Publication dates
Print01 Jan 2017
Publication process dates
Deposited03 Nov 2020
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https://openresearch.lsbu.ac.uk/item/8v07v

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Accepted author manuscript
PACIS_2017_complete research paper.pdf
License: CC BY 4.0
File access level: Open

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