Computer-Adaptive Surveys (CAS) as a means of answering questions of why
Sabbaghan, S, Gardner, L and Chua, CEH (2017). Computer-Adaptive Surveys (CAS) as a means of answering questions of why.
|Authors||Sabbaghan, S, Gardner, L and Chua, CEH|
© 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.
|Journal||Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017|
|Accepted author manuscript|
File Access Level
|01 Jan 2017|
|Publication process dates|
|Deposited||03 Nov 2020|
Accepted author manuscript
|PACIS_2017_complete research paper.pdf|
|License: CC BY 4.0|
|File access level: Open|
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