A review of difference score research in the is discipline with an application to understanding the expectations and job experiences of it professionals

Authors:
Hyung Koo Lee;Mike Gallivan
Affiliations:
Georgia State University, Atlanta, GA, USA;Georgia State University, Atlanta, GA, USA
Venue:
Proceedings of the 49th SIGMIS annual conference on Computer personnel research
Year:
2011

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Abstract

In recent decades, IS researchers have collected and analyzed difference score data with regard to IS service quality research, system functionality and user interface features, as well as job- and career-related expectations of IT personnel. Despite the prevalence of difference scores in IS research, these methods have been criticized due to various theoretical and statistical anomalies. In this research in progress study, we identify some problems that have been identified in the organizational behavior literature. We review various research streams that employ difference scores, focusing in depth on one popular stream of 'difference score' research: work on person-environment fit or person-job fit in shaping IT employees' job satisfaction, performance and turnover intentions. We analyze a dataset containing difference score data for 120 software developers with regard to their preferences for specific job attributes, along with their self-reports regarding how well their current job matches these preferences. We analyze our data using both conventional difference score methods, as well as using new techniques suggested in the OB and IS literature.