Estimating Models Combining Latent and Measured Variables-Reference-Cited by-同舟云学术

Estimating Models Combining Latent and Measured Variables

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18
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Author:

Kattenbeck Markus¹,Elsweiler David¹

Affiliation:

1. University of Regensburg, Regensburg, Germany

Publisher

ACM Press

Reference16 articles.

1. Pia Borlund. 2016. Interactive Information Retrieval: An Evaluation Perspective. In Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval (CHIIR '16). ACM, New York, NY, USA, 151--151. https://doi.org/10. 1145/2854946.2870648

2. C. Cassel, P. Hackl, and A. H. Westlund. 1999. Robustness of partial least squares method for estimating latent variable quality structures. Journal of Applied Statistics 26, 4 (1999), 435--446.

3. Theo K. Dijkstra and Jörg Henseler. 2015. Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics&Data Analysis 81 (2015), 10--23.

4. Theo K. Dijkstra and Jörg Henseler. 2015. Consistent Partial Least Squares Path Modeling. Management Information Systems Quarterly 39, 2 (2015), 297--316.

5. David Gefen, Detmar Straub, and Marie-Claude Boudreau. 2000. Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems 4 (2000), Article 7.

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