backward elimination

a technique used in regression analysis in which the goal is to forecast an outcome or response variable according to a subset of predictor variables narrowed down from a large initial set. In background elimination, all available predictors are included originally and then examined one at a time, with any predictors that do not contribute in a statistically meaningful manner systematically dropped until a predetermined criterion is reached. Also called backward deletion; backward selection; stepdown selection. See also stepwise regression.

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Psychology term of the day

May 9th 2024

LMX theory

abbreviation for leader–member exchange theory.