n. a procedure in which several independent estimated values of a population characteristic are averaged, with or without
weights, to obtain a single value. For example, the
pooled variance is a single value for a variable’s
dispersion produced by combining several independent estimates of that dispersion. Consider a researcher who uses
multiple imputation to fill in missing data when examining correlations between children’s educational performance and maternal depression. They could calculate the value of the
variance using the data set that exists at each stage of the imputation procedure and then average each of those individual variances to obtain a single overall value.