Description
Content validity is essential for developing accurate and consistent psychometric measures, which are necessary for the progress of theory and thus the health of an academic field and yet the field is lacking a systematic analysis of its engagement with these practices. In this research we turn to two of the field’s top journal to provide a view of the best practices with regard to establishing content validity. Specifically, we assess the extent to which the content domain of a construct is established and defined, and the extent to which instruments are developed and judged according to the relevance and representativeness of the items. Additionally, develop a framework for systematically and quantitatively assessing content validity.
Recommended Citation
London, Jackie; Matthews, Kevin; and Grover, Varun, "On Meaning and Measurement: A Review of Content Validity in IS" (2017). AMCIS 2017 Proceedings. 20.
https://aisel.aisnet.org/amcis2017/AdvancesIS/Presentations/20
On Meaning and Measurement: A Review of Content Validity in IS
Content validity is essential for developing accurate and consistent psychometric measures, which are necessary for the progress of theory and thus the health of an academic field and yet the field is lacking a systematic analysis of its engagement with these practices. In this research we turn to two of the field’s top journal to provide a view of the best practices with regard to establishing content validity. Specifically, we assess the extent to which the content domain of a construct is established and defined, and the extent to which instruments are developed and judged according to the relevance and representativeness of the items. Additionally, develop a framework for systematically and quantitatively assessing content validity.