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Structural Factor Analysis Experiments with Incomplete Data.

Authors :
McArdle, John J.
Source :
Multivariate Behavioral Research. 1994 29(4):409-454.
Publication Year :
1994

Abstract

Benefits and limitations of structural equation models for multivariate experiments with incomplete data are presented. Examples from studies of latent variable path models of cognitive performance illustrate analyses with latent variables, omitted variables, randomly missing data, and nonrandomly missing data. (SLD)

Details

Language :
English
ISSN :
0027-3171
Volume :
29
Issue :
4
Database :
ERIC
Journal :
Multivariate Behavioral Research
Publication Type :
Report
Accession number :
EJ500609
Document Type :
Reports - Evaluative<br />Journal Articles