October 1, 2001

The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models With Missing Data

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Abstract

A Monte Carlo simulation examined the performance of a recently available full information maximum likelihood (FIML) estimator in a multiple regression model with missing data. The effects of four ...

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Craig K. Enders (Mon,) studied this question.

synapsesocial.com/papers/6a11e28a45487b7639a581eb https://doi.org/https://doi.org/10.1177/00131640121971482