Causal Indicators in Psychometrics

Author(s):  
Aja L. Murray ◽  
Tom Booth
Keyword(s):  
2016 ◽  
Vol 14 (3) ◽  
pp. 75-97 ◽  
Author(s):  
Miguel I. Aguirre-Urreta ◽  
Mikko Rönkkö ◽  
George M. Marakas
Keyword(s):  

2000 ◽  
Vol 5 (1) ◽  
pp. 3-22 ◽  
Author(s):  
Kenneth A. Bollen ◽  
Kwok-fai Ting
Keyword(s):  

Author(s):  
Michael Hennessy ◽  
Amy Bleakley ◽  
Martin Fishbein

Quantitative researchers distinguish between causal and effect indicators. What are the analytic problems when both types of measures are present in a quantitative reasoned action analysis? To answer this question, the authors use data from a longitudinal study to estimate the association between two constructs central to reasoned action theory: behavioral beliefs and attitudes toward the behavior. The belief items are causal indicators that define a latent variable index while the attitude items are effect indicators that reflect the operation of a latent variable scale. The authors identify the issues when effect and causal indicators are present in a single analysis and conclude that both types of indicators can be incorporated into analyses of data based on the reasoned action approach.


2016 ◽  
Vol 39 (3) ◽  
pp. 356-378 ◽  
Author(s):  
Brooke J. Arterberry ◽  
Ting-Huei Chen ◽  
Alvaro Vergés ◽  
Kenneth A. Bollen ◽  
Matthew P. Martens

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