posted on 2016-11-04, 13:54authored byJohn Cadogan, Nick Lee
We highlight the difference between valid causal indicator models, that provide useful information on the variance of theoretical latent variables, and invalid causal indicator models, which do not. We suggest that invalid causal indicator models are of the type typically used in the causal indicator literature, and urge for research to reflect on how to advance the use of valid causal indicator models.
History
School
Business and Economics
Department
Business
Published in
Measurement: Interdisciplinary Research & Perspectives
Volume
14
Citation
CADOGAN, J.W. and LEE, N., 2016. Distinguishing valid from invalid causal indicator models. Measurement: Interdisciplinary Research & Perspectives, 14 (4), pp. 162-166.
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/
Acceptance date
2016-10-14
Publication date
2016
Notes
This is an Accepted Manuscript of an article published by Taylor & Francis in Measurement: Interdisciplinary Research & Perspectives on 07 Dec 2016, available online: http://dx.doi.org/10.1080/15366367.2016.1264235