multiple imputation

a method for addressing missing data in which several possible simulated values are inserted into a data set to replace omitted values, and then the mean and standard deviation of the set are calculated to arrive at an estimate to substitute for the missing value. Multiple imputation is considered less biased than other missing values procedures, such as listwise deletion, pairwise deletion, and single imputation.

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Psychology term of the day

November 24th 2024

commonality analysis

in multiple regression, a technique by which the known variance in an outcome or response variable is separated out into the parts that can be uniquely attributed to each individual predictor variable and the parts that are common to any two or more variables.