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Articles (19)

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1-10 of 19 results for full information maximum likelihood (FIML)

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Select article: Impact of missing data and ICC on full information maximum-likelihood estimation in multilevel SEMs

Free access

Research article

First published 2024-2

Impact of missing data and ICC on full information maximum-likelihood estimation in multilevel SEMs

Chunling Niu

Model Assisted Statistics and Applications

Select article: Planned missing data designs with small sample sizes: How small is too small?

Retricted access

Research article

First published 2014-9

Planned missing data designs with small sample sizes: How small is too small?

Fan Jia, E. Whitney G. Moore, Richard Kinai [...]

International Journal of Behavioral Development

Select article: Heckman sample-selection estimators under heteroskedasticity

Retricted access

Research article

First published 2025-3

Heckman sample-selection estimators under heteroskedasticity

Alyssa H. Carlson, Wei Zhao

The Stata Journal: Promoting communications on statistics and Stata

Select article: Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete Data

Retricted access

Research article

First published 2017-12

Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete Data

Daniel McNeish, Jeffrey R. Harring

Educational and Psychological Measurement

Select article: Missing Data

Retricted access

Research article

First published 2014-10

Missing Data

Daniel A. Newman

Organizational Research Methods

Select article: The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models with Missing Data

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Research article

First published 2001-10

The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models with Missing Data

Craig K. Enders

Educational and Psychological Measurement

Select article: Planned Missingness: How to and How Much?

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Research article

First published 2022-10

Planned Missingness: How to and How Much?

Charlene Zhang, Martin C. Yu

Organizational Research Methods

Select article: Comparison of Methods of Handling Missing Time-Invariant Covariates in Latent Growth Models Under the Assumption of Missing Completely at Random

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Research article

First published 2007-10

Comparison of Methods of Handling Missing Time-Invariant Covariates in Latent Growth Models Under the Assumption of Missing Completely at Random

Mike W.-L. Cheung

Organizational Research Methods

Select article: Effect of Missing Data on Classification Error in Panel Surveys

Open access

Research article

First published 2017-6

Effect of Missing Data on Classification Error in Panel Surveys

Susan L. Edwards, Marcus E. Berzofsky, Paul P. Biemer

Journal of Official Statistics

Select article: Longitudinal Modeling with Randomly and Systematically Missing Data: A Simulation of Ad Hoc,Maximum Likelihood,and Multiple Imputation Techniques

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Other

First published 2003-07

Longitudinal Modeling with Randomly and Systematically Missing Data: A Simulation of Ad Hoc,Maximum Likelihood,and Multiple Imputation Techniques

Daniel A. Newman

Organizational Research Methods

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