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Enders, Craig K. – Educational and Psychological Measurement, 2001
Examined the performance of a recently available full information maximum likelihood (FIML) estimator in a multiple regression model with missing data using Monte Carlo simulation and considering the effects of four independent variables. Results indicate that FIML estimation was superior to that of three ad hoc techniques, with less bias and less…
Descriptors: Estimation (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods