F -to-remove

n. in model-building procedures such as backward elimination or stepwise regression, the specific ratio of variances needed to justify keeping a variable as a predictor. Generally, an F-to-remove value around 4.0 is sufficient to allow a variable to be retained in an analysis.

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Psychology term of the day

November 28th 2024

complementary classification

in classification tasks, the grouping of items from conceptually different categories into a superordinate class based on an individual’s mental associations from past experience. For example, cow, tractor, and farmer may be grouped because they are all found on a farm. Also called functional classification; schematic classification; thematic classification. Compare conceptual classification; idiosyncratic classification; perceptual classification.