Journal
JOURNAL OF ABNORMAL PSYCHOLOGY
Volume 112, Issue 4, Pages 545-557Publisher
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/0021-843X.112.4.545
Keywords
-
Ask authors/readers for more resources
As with other statistical methods, missing data often create major problems for the estimation of structural equation models (SEMs). Conventional methods such as listwise or pairwise deletion generally do a poor job of using all the available information. However, structural equation modelers are fortunate that many programs for estimating SEMs now have maximum likelihood methods for handling missing data in an optimal fashion. In addition to maximum likelihood, this article also discusses multiple imputation. This method has statistical properties that are almost as good as those for maximum likelihood and can be applied to a much wider array of models and estimation methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available