Advancing the Formulation and Testing of Multilevel Mediation and Moderated Mediation Models
Year: 2017
Type: article
Abstract: Researchers in the social sciences are often interested in explaining causal processes in which the effect of one variable is transmitted to another through one or more intervening (or mediator) variables.Statistical mediation analysis can be used by researchers to gain a better understanding of these causal processes.The methods traditionally used to quantify and test a mediation process, or indirect effect, are not directly applicable when the data are nested hierarchically, which is common in educational, organizational, and behavioral sciences where students may be nested within classrooms, employees may be nested within companies, or repeated measurements may be nested within individuals.Multilevel modeling (MLM) is a method for
Author: Nicholas Rockwood
Institution: The Ohio State University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2649569571