Dealing with missing data: Key assumptions and methods for ...
model using weighted least squares or generalized least squares leads to better results (Graham, 2009) (Allison, 2001) and (Briggs et al., 2003). Limitations of imputation techniques in general: They lead to an underestimation of standard errors and, thus, overestimation of test statistics.
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