Distinguishing Valid from Invalid Causal Indicator Models.pdf (436.02 kB)
Distinguishing valid from invalid causal indicator models
journal contribution
posted on 2016-11-04, 13:54 authored by John Cadogan, Nick LeeWe 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 & PerspectivesVolume
14Citation
CADOGAN, J.W. and LEE, N., 2016. Distinguishing valid from invalid causal indicator models. Measurement: Interdisciplinary Research & Perspectives, 14 (4), pp. 162-166.Publisher
© Taylor & FrancisVersion
- AM (Accepted Manuscript)
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/Acceptance date
2016-10-14Publication date
2016Notes
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/10.1080/15366367.2016.1264235ISSN
1536-6367eISSN
1536-6359Publisher version
Language
- en