The literature on the development of measurement help researchers consider two broad issues: the qualitative tasks of conceptually modelling constructs and operationalizing them in a set of indicators and the more quantitative issues of using estimation procedures to convert their data into estimates. While these issues are interdependent, these two streams of literature have been largely separate. With this paper, we aim to contribute toward the establishment of integral guidance on measurement development. We propose a conceptual framework that should connect more explicitly the qualitative issues of measurement design with its quantitative issues. By analysing common sources of error, we show how it can be used to identify the sources of error specific to a measurement. We further provide initial guidelines on how problematic indicators can be remedied. Finally, we suggest how future research could take a next step in synthesizing qualitative with quantitative issues to provide more integral guidelines.
Miah, Shah Jahan; Hasan, Rashadul; Hasan, Najmul; and Gammack, John, "A Decision Support Framework for Public Healthcare: An approach to Follow-up Support Service" (2017). ACIS 2017 Proceedings. 93.