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Structural Equation Modeling: A Multidisciplinary Journal Volume 25, 2018 - Issue 2
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Original Articles

Mean and Mean-and-Variance Corrections With Big Data

Ke-Hai YuanRenmin University of China and University of Notre DameCorrespondence[email protected]
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Ge JiangUniversity of Notre DameORCID Iconhttp://orcid.org/0000-0002-5025-4186View further author information
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Miao YangUniversity of Notre DameView further author information
Pages 214-229 | Published online: 23 Oct 2017

Citations (4)

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Read on this site (3)

Yubin Tian & Ke-Hai Yuan. (2019) Mean and Variance Corrected Test Statistics for Structural Equation Modeling with Many Variables. Structural Equation Modeling: A Multidisciplinary Journal 26:6, pages 827-846.
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Ke-Hai Yuan, Chao Fan & Yanyun Zhao. (2019) What Causes the Mean Bias of the Likelihood Ratio Statistic with Many Variables?. Multivariate Behavioral Research 54:6, pages 840-855.
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Brenna Gomer, Ge Jiang & Ke-Hai Yuan. (2019) New Effect Size Measures for Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal 26:3, pages 371-389.
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Articles from other publishers (1)

Lifang Deng, Miao Yang & Katerina M. Marcoulides. (2018) Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments. Frontiers in Psychology 9.
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