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Structural Equation Modeling: A Multidisciplinary Journal Volume 23, 2016 - Issue 3
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Original Articles

Bayesian Model Averaging Over Directed Acyclic Graphs With Implications for the Predictive Performance of Structural Equation Models

David KaplanUniversity of Wisconsin–MadisonCorrespondence[email protected]
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Chansoon LeeUniversity of Wisconsin–MadisonView further author information
Pages 343-353 | Published online: 18 Nov 2015

Citations (13)

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Read on this site (3)

Daniel Schulze, Benedikt Reuter & Steffi Pohl. (2022) Measurement Invariance: Dealing with the Uncertainty in Anchor Item Choice by Model Averaging. Structural Equation Modeling: A Multidisciplinary Journal 29:4, pages 521-530.
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Sarah Depaoli, Keke Lai & Yuzhu Yang. (2021) Bayesian Model Averaging as an Alternative to Model Selection for Multilevel Models. Multivariate Behavioral Research 56:6, pages 920-940.
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David Kaplan & Sinan Yavuz. (2020) An Approach to Addressing Multiple Imputation Model Uncertainty Using Bayesian Model Averaging. Multivariate Behavioral Research 55:4, pages 553-567.
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Articles from other publishers (10)

Jonathan Lee & Alex Lenkoski. 2023. Econometrics - Recent Advances and Applications. Econometrics - Recent Advances and Applications.
Sophie W. Berkhout, Julia M. Haaf, Quentin F. Gronau, Daniel W. Heck & Eric-Jan Wagenmakers. (2023) A tutorial on Bayesian model-averaged meta-analysis in JASP. Behavior Research Methods.
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Je-Yeon Yun & Young Ho Yun. (2023) Health-promoting behavior to enhance perceived meaning and control of life in chronic disease patients with role limitations and depressive symptoms: a network approach. Scientific Reports 13:1.
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Kazuya Fujita & Kensuke Okada. (2022) Adaptive optimal stimulus selection in cognitive models using a model averaging approach. Behaviormetrika 50:1, pages 431-463.
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David Kaplan & Mingya Huang. (2021) Bayesian probabilistic forecasting with large-scale educational trend data: a case study using NAEP. Large-scale Assessments in Education 9:1.
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Kui Ming Tiong, Ming Yu Cheng & Chee Keong Choong. (2021) Investment climate and foreign direct investment in Malaysia: f irm‐level evidence . Asian-Pacific Economic Literature 35:1, pages 108-119.
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Don van den Bergh, Merlise A. Clyde, Akash R. Komarlu Narendra Gupta, Tim de Jong, Quentin F. Gronau, Maarten Marsman, Alexander Ly & Eric-Jan Wagenmakers. (2021) A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods 53:6, pages 2351-2371.
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David Kaplan. (2021) On the Quantification of Model Uncertainty: A Bayesian Perspective. Psychometrika 86:1, pages 215-238.
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Max Hinne, Quentin F. Gronau, Don van den Bergh & Eric-Jan Wagenmakers. (2020) A Conceptual Introduction to Bayesian Model Averaging. Advances in Methods and Practices in Psychological Science 3:2, pages 200-215.
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Jason D. Rights, Sonya K. Sterba, Sun-Joo Cho & Kristopher J. Preacher. (2018) Addressing model uncertainty in item response theory person scores through model averaging. Behaviormetrika 45:2, pages 495-503.
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