Data Quality Procedures in Survey Research: An Analysis and Framework for Doctoral Program Curricula

Authors

James Burleson, California Polytechnic State UniversityFollow
Gregory J. Bott, University of AlabamaFollow
Michelle Carter, University of ManchesterFollow
Jalal Sarabadani, San Jose State UniversityFollow

Abstract

To ensure validity in survey research, it is imperative that we properly educate doctoral students on best practices in data quality procedures. A 14-year analysis of 679 studies in the AIS “Basket of 8” journals noted undercommunication in the most pertinent procedures, consistent across journals and time. Given recent calls for improvements in data transparency, scholars must be educated on the importance and methods for ensuring data quality. Thus, to guide the education of doctoral students, we present a “5-C Framework'' of data quality procedures derived from a wide-ranging literature review. Additionally, we describe a set of guidelines regarding enacting and communicating data quality procedures in survey research.

Recommended Citation

Burleson, James; Bott, Gregory J.; Carter, Michelle; and Sarabadani, Jalal (2023) "Data Quality Procedures in Survey Research: An Analysis and Framework for Doctoral Program Curricula," Journal of Information Systems Education: Vol. 34 : Iss. 4 , 418-429.
Available at: https://aisel.aisnet.org/jise/vol34/iss4/6