Issues and opinion on structural equation modeling
MIS Quarterly
Information Systems Research
Information Systems Research
Thar's gold in them thar constructs
ACM SIGMIS Database
A critical look at partial least squares modeling
MIS Quarterly
MIS Quarterly
User Satisfaction with Information Technology Service Delivery: A Social Capital Perspective
Information Systems Research
Journal of Management Information Systems
Formative measurement: a critical perspective
ACM SIGMIS Database
Hi-index | 0.03 |
Formatively measured constructs have been increasingly used in information systems research. With few exceptions, however, extant studies have been relying on the partial least squares (PLS) approach to specify and estimate structural models involving constructs measured with formative indicators. This paper highlights the benefits of employing covariance structure analysis (CSA) when investigating such models and illustrates its application with the LISREL program. The aim is to provide practicing IS researchers with an understanding of key issues and potential problems associated with formatively measured constructs within a covariance-based modeling framework and encourage them to consider using CSA in their future research endeavors.