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Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling

Authors:

Markus Kattenbeck,

David ElsweilerAuthors Info & Claims

CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

Pages 375 - 377

https://doi.org/10.1145/3176349.3176899

Published: 01 March 2018 Publication History

CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling

Pages 375 - 377

Abstract
References

Abstract

Structural Equation Modeling is a powerful statistical approach where measured variables and those which are latent can be combined in a single model. In this half-day tutorial participants learned about the statistical technique, its theoretical underpinnings and gained sufficient insight to apply this technique in a practical sense to their own research problems.

References

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Markus Kattenbeck. 2017. How Subdimensions of Salience Influence Each Other. Comparing Models Based on Empirical Data. In 13th International Conference on Spatial Information Theory, COSIT 2017, September 4--8, 2017, L'Aquila, Italy (LIPIcs), Eliseo Clementini, Maureen Donnelly, May Yuan, Christian Kray, Paolo Fogliaroni, and Andrea Ballatore (Eds.), Vol. 86. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 10:1--10:13. http://www.dagstuhl.de/dagpub/978--3--95977-043--9

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Heather L. O'Brien and Lori McCay-Peet. 2017. Asking "Good" Questions: Questionnaire Design and Analysis in Interactive Information Retrieval Research. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR '17). ACM, New York, NY, USA, 27--36.

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Cited By

Melucci MPaggiaro A(2019)Evaluation of information retrieval systems using structural equation modelingComputer Science Review10.1016/j.cosrev.2018.10.00131:C(1-18)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1016/j.cosrev.2018.10.001
Mitsui MShah CSong DLiu TSun LBruza PMelucci MSebastiani FYang G(2018)The Broad View of Task Type Using Path AnalysisProceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3234944.3234951(131-138)Online publication date: 10-Sep-2018
https://dl.acm.org/doi/10.1145/3234944.3234951

Index Terms

Estimating Models Combining Latent and Measured Variables: A Tutorial on Basics, Applications and Current Developments in Structural Equation Models and their Estimation using PLS Path Modeling
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
    2. Users and interactive retrieval

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cover image ACM Conferences

CHIIR '18: Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

March 2018

402 pages

ISBN:9781450349253

DOI:10.1145/3176349

General Chairs:
Chirag Shah
Rutgers University, USA
,
Nicholas J. Belkin
Rutgers University, USA
,
Program Chairs:
Katriina Byström
Oslo Metropolitan University, Norway
,
Jeff Huang
Brown University, USA
,
Falk Scholer
RMIT University, Australia

Copyright © 2018 ACM.

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SIGIR: ACM Special Interest Group on Information Retrieval

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2018

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CHIIR '18

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SIGIR

CHIIR '18: Conference on Human Information Interaction and Retrieval

March 11 - 15, 2018

NJ, New Brunswick, USA

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CHIIR '18 Paper Acceptance Rate 22 of 57 submissions, 39%;

Overall Acceptance Rate 55 of 163 submissions, 34%

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Cited By

Melucci MPaggiaro A(2019)Evaluation of information retrieval systems using structural equation modelingComputer Science Review10.1016/j.cosrev.2018.10.00131:C(1-18)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1016/j.cosrev.2018.10.001
Mitsui MShah CSong DLiu TSun LBruza PMelucci MSebastiani FYang G(2018)The Broad View of Task Type Using Path AnalysisProceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3234944.3234951(131-138)Online publication date: 10-Sep-2018
https://dl.acm.org/doi/10.1145/3234944.3234951

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