Description
Despite a strong tradition amongst information systems (IS) researchers of examining theoretically derived causal models, most studies have relied on cross-sectional data. However, causal inferences can be made stronger if temporal precedence is establis
Recommended Citation
Mou, Jian and Cohen, Jason, "Illustrating the Use of Cross-Lagged Structural Equation Modelling to Examine Causal Ordering: An Example Using Trust and Risk in Online Health Services" (2018). ICIS 2018 Proceedings. 2.
https://aisel.aisnet.org/icis2018/healthcare/Presentations/2
Illustrating the Use of Cross-Lagged Structural Equation Modelling to Examine Causal Ordering: An Example Using Trust and Risk in Online Health Services
Despite a strong tradition amongst information systems (IS) researchers of examining theoretically derived causal models, most studies have relied on cross-sectional data. However, causal inferences can be made stronger if temporal precedence is establis