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Structural Equation Modeling: A Multidisciplinary Journal Volume 27, 2020 - Issue 4
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Research Article

Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Data: An Examination of the D2 Method

Yu LiuUniversity of HoustonCorrespondence[email protected]
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Suppanut SriutaisukUniversity of HoustonView further author information
Pages 561-583 | Published online: 08 Oct 2019

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Read on this site (2)

Yu Liu, Suppanut Sriutaisuk & Seungwon Chung. (2021) Evaluation of Model Fit in Structural Equation Models with Ordinal Missing Data: A Comparison of the D2 and MI2S Methods. Structural Equation Modeling: A Multidisciplinary Journal 28:5, pages 740-762.
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Yu Liu & Suppanut Sriutaisuk. (2021) A Comparison of FIML- versus Multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables. Structural Equation Modeling: A Multidisciplinary Journal 28:4, pages 590-608.
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Articles from other publishers (3)

Paula C. R. Vicente. (2023) Evaluating the Effect of Planned Missing Designs in Structural Equation Model Fit Measures. Psych 5:3, pages 983-995.
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Fan Jia. (2023) Pooling test statistics across multiply imputed datasets for nonnormal items. Behavior Research Methods.
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Julia A. Ogg, Christopher J. Anthony, Christine K. Malecki, Michelle K. Demaray, Kathleen M. Kelly, Kellie Menter, DaShae Rodriguez-Harris & Logan N. Riffle. (2021) Bidirectional associations between biased language exposure and school-based relationships across gender. Journal of School Psychology 89, pages 72-90.
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