Abstract
Maximum likelihood algorithms for use with missing data are becoming commonplace in microcomputer packages. Specifically, 3 maximum likelihood algorithms are currently available in existing software packages: the multiple-group approach, full information maximum likelihood estimation, and the EM algorithm. Although they belong to the same family of estimator, confusion appears to exist over the differences among the 3 algorithms. This article provides a comprehensive, nontechnical overview of the 3 maximum likelihood algorithms. Multiple imputation, which is frequently used in conjunction with the EM algorithm, is also discussed.
Original language | English (US) |
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Pages (from-to) | 128-141 |
Number of pages | 14 |
Journal | Structural Equation Modeling |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - 2001 |
ASJC Scopus subject areas
- General Decision Sciences
- Modeling and Simulation
- Sociology and Political Science
- Economics, Econometrics and Finance(all)