The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models With Missing Data
Educational and Psychological MeasurementPublished 1 October 2001
Craig K. Enders
Citations471
SJR quartileQ1
SJR score1.93
SNIP2.21
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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 ...
Keywords
Mathematics
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