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Structural Equation Modeling: A Multidisciplinary Journal Volume 26, 2019 - Issue 3
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Original Articles

Bayesian Meta-Analytic SEM: A One-Stage Approach to Modeling Between-Studies Heterogeneity in Structural Parameters

Zijun KeSun Yat-sen UniversityCorrespondence[email protected]
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,
Qian ZhangFlorida State UniversityView further author information
&
Xin TongUniversity of VirginiaView further author information
Pages 348-370 | Published online: 14 Nov 2018

Citations (10)

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Read on this site (2)

James O. Uanhoro. (2023) Hierarchical Covariance Estimation Approach to Meta-Analytic Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal 30:4, pages 532-546.
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Zhihui Cai & Xitao Fan. (2020) A Comparison of Fixed-Effects and Random-Effects Models for Multivariate Meta-Analysis Using an SEM Approach. Multivariate Behavioral Research 55:6, pages 839-854.
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Articles from other publishers (8)

Khue‐Dung Dang, Louise M. Ryan, Tugba Akkaya Hocagil, Richard J. Cook, Gale A. Richardson, Nancy L. Day, Claire D. Coles, Heather Carmichael Olson, Sandra W. Jacobson & Joseph L. Jacobson. (2023) Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts. Australian & New Zealand Journal of Statistics.
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Deniz Akdemir, Mohamed Somo & Julio Isidro-Sanchéz. (2023) An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance Matrices. Axioms 12:2, pages 161.
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Timo Gnambs & Marie-Ann Sengewald. (2023) Meta-Analytic Structural Equation Modeling With Fallible Measurements. Zeitschrift für Psychologie 231:1, pages 39-52.
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Jeffrey C. Valentine, Mike W.-L. Cheung, Eric J. Smith, Olivia Alexander, Jessica M. Hatton, Ryan Y. Hong, Lucas T. Huckaby, Samantha C. Patton, Patrick Pössel & Hayley D. Seely. (2021) A Primer on Meta-Analytic Structural Equation Modeling: the Case of Depression. Prevention Science 23:3, pages 346-365.
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Shufang ZHENG, Lijin ZHANG, Xinyu QIAO & Junhao PAN. (2022) Intensive longitudinal data analysis: Models and application. Advances in Psychological Science 29:11, pages 1948-1969.
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Suzanne Jak, Hongli Li, Laura Kolbe, Hannelies de Jonge & Mike W.‐L. Cheung. (2021) Meta‐analytic structural equation modeling made easy: A tutorial and web application for one‐stage MASEM . Research Synthesis Methods 12:5, pages 590-606.
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Meike Morren & Amir Grinstein. (2021) The cross-cultural challenges of integrating personal norms into the Theory of Planned Behavior: A meta-analytic structural equation modeling (MASEM) approach. Journal of Environmental Psychology 75, pages 101593.
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Hannelies de Jonge, Suzanne Jak & Kees-Jan Kan. (2020) Dealing With Artificially Dichotomized Variables in Meta-Analytic Structural Equation Modeling. Zeitschrift für Psychologie 228:1, pages 25-35.
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