Missing data techniques for multilevel data: implications of model misspecification-Reference-Cited by-同舟云学术

Missing data techniques for multilevel data: implications of model misspecification

Published:2011-09 Issue:9 Volume:38 Page:1845-1865
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Black Anne C.,Harel Ofer,Betsy McCoach D.

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference40 articles.

1. Missing Data Techniques for Structural Equation Modeling.

2. Allison, P. D. Multiple Imputation of Categorical Variables under the Multivariate Normal Model. Meeting of the American Sociological Association. Montreal, QC. available athttp://www.allacademic.com/meta/p102543_index.html

3. A comparison of inclusive and restrictive strategies in modern missing data procedures.

4. A Primer on Maximum Likelihood Algorithms Available for Use With Missing Data

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