Handling Missing Data With Multilevel Structural Equation Modeling and Full Information Maximum Likelihood Techniques-Reference-Cited by-同舟云学术

Handling Missing Data With Multilevel Structural Equation Modeling and Full Information Maximum Likelihood Techniques

Published:2016-05-13 Issue:4 Volume:39 Page:286-297
ISSN:0160-6891
Container-title:Research in Nursing & Health
language:en
Short-container-title:Res Nurs Health

Author:

Schminkey Donna L.¹,von Oertzen Timo²,Bullock Linda³

Affiliation:

1. Assistant Professor and Roberts Scholar; School of Nursing; University of Virginia; 202 Jeanette Lancaster Way PO Box 800782 Charlottesville VA 22903

2. Assistant Professor; College of Arts and Sciences; University of Virginia; Charlottesville VA

3. Jeanette Lancaster Alumni Professor of Nursing; Associate Dean for Research; School of Nursing; University of Virginia; Charlottesville VA

Publisher

Wiley

Subject

General Nursing

Reference73 articles.

1. R.A. Fisher and the making of maximum likelihood 1912-1922;Aldrich;Statistical Science,1997

2. Estimation of linear models with incomplete data;Allison;Sociological Methodology,1987

3. Missing Data

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