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Incorporating formative measures into covariance-based structural equation models
journal contribution
posted on 2014-10-07, 12:00 authored by Adamantios DiamantopoulosFormatively 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.
History
School
- Business and Economics
Department
- Business
Published in
MIS Quarterly: Management Information SystemsVolume
35Issue
2Pages
335 - 358Citation
DIAMANTOPOULOS, A., 2011. Incorporating formative measures into covariance-based structural equation models. MIS Quarterly, 35 (2), pp.335-358.Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2011Notes
This paper is closed access.ISSN
0276-7783Publisher version
Language
- en