hierarchical regression

a statistical procedure in which hypothesized predictors of a dependent variable are included in an analysis in several steps that illuminate the contribution of each set of variables. For example, a researcher interested in predicting career satisfaction could use hierarchical regression to assess the contribution of individual-level variables (e.g., career influence), institutional-level variables (e.g., work climate), and interactional-level variables (e.g., work respect). Also called hierarchical multiple regression; hierarchical regression analysis; sequential regression. See also multiple regression. Compare simultaneous regression.

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Psychology term of the day

May 8th 2024

mental chemistry

a concept proposed by John Stuart Mill as an alternative to the mental mechanics described by his father, James Mill. The concept is modeled on a common phenomenon in physical chemistry, in which two chemical substances combine to form a compound with properties not present in either of the components. Similarly, Mill held that compound ideas were not merely combinations of simpler ideas but that they possessed other qualities not present in any of the constituent ideas. Thus, such an idea could be an essentially new one. See associationism; association of ideas.