A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

T Lee, D Shi - Psychological Methods, 2021 - psycnet.apa.org
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …
被引用次数：212 相关文章

A Comparison of Full Information Maximum Likelihood and Multiple Imputation in Structural Equation Modeling With Missing Data

T Lee, D Shi - PSYCHOLOGICAL METHODS, 2021 - scholarworks.bwise.kr
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

T Lee, D Shi - Psychological Methods, 2021 - europepmc.org
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

A Comparison of Full Information Maximum Likelihood and Multiple Imputation in Structural Equation Modeling With Missing Data

T Lee, D Shi - 2021 - search.proquest.com
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

[引用][C] A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

T Lee, D Shi - Psychological Methods, 2021 - cir.nii.ac.jp
A comparison of full information maximum likelihood and multiple imputation in structural
equation modeling with missing data. | CiNii Research CiNii 国立情報学研究所 学術情報 …

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data

T Lee, D Shi - Psychological methods, 2021 - pubmed.ncbi.nlm.nih.gov
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

T Lee, D Shi - Psychological Methods, 2021 - search.pdh.ebscohost.com
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …

A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.

T Lee, D Shi - Psychological Methods, 2021 - psycnet.apa.org
This article compares two missing data procedures, full information maximum likelihood
(FIML) and multiple imputation (MI), to investigate their relative performances in relation to …