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Path analysis is a statistical technique that allows users to investigate patterns of effect within a system of variables. It is one of several types of the general linear model that examine the impact of a set of predictor variables on multiple dependent variables. Path analysis is similar to multiple regression in that the effect of multiple predictors on a criterion variable can be assessed. It differs from multiple regression, however, in that two or more criterion variables can be examined at the same time.

Defining Path Analysis

Path analysis was invented by Sewall Wright as he developed his shifting balance theory (SBT) of population genetics. He needed a technique that could be used to track effects of forces on changes in one variable over time or ...

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