Computer-Adaptive Surveys (CAS) are multi-dimensional instruments where questions asked of respondents depend on the previous questions asked. Due to the complexity of CAS, little work has been done on developing methods for validating their construct validity. This paper describes the process of using a variant of Q-sorting to validate a CAS item bank. The method and preliminary results are presented. In addition, lessons learned from this study are discussed.
Sabbaghan, Sahar; Gardner, Lesley A.; and Chua, Cecil, "A Q-SORTING METHODOLOGY FOR COMPUTER-ADAPTIVE SURVEYS – STYLE “RESEARCH”" (2016). Research Papers. 137.