Several reasons for the intense interest in this topic: One reason for (This page averages over 200 visitorsĪ day and Baron and Kenny (1986) has over 70,000 citations, according to Google Scholar, and there are four books on the topic (Hayes, 2013 Jose, 2012 MacKinnon, 2008 VanderWeele, 2015.) There are Mediation (Hyman, 1955 MacCorquodale & Meehl, 1948 Wright, 1934). The specific causal assumptions are detailed below in Mediation is notĭefined statistically rather statistics can be used to evaluate a presumed If the presumed causal model is not correct, the resultsįrom the mediational analysis are likely of little value. For example, the mediator is presumed to cause the outcomeĪnd not vice versa. Partial mediation is theĬase in which the path from X to Y is reduced in absolute size but is stillĭifferent from zero when the mediator is introduced.Ĭausal model. Variable X no longer affects Y after M has been controlled, making path c' zero. The mediator has been called an intervening or process variable. Mediated by a process or mediating variable M, and the variable X may stillĭiagrams are essential to the understanding of this page. Path c in the above model is called the total In diagrammatic form, the unmediated model is Variable and the variable that it causes or Y is called the outcome.
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