Some of Robinson & Levin’s critique of Rodgers (2010) is cogent, helpful, and insightful – although limiting. Recent methodology has advanced through the development of structural equation modeling, multi-level modeling, missing data methods, hierarchical linear modeling, categorical data analysis, as well as the development of many dedicated and specific behavioral models. These methodological approaches are based on a revised epistemological system, and have emerged naturally, without the need for task forces, or even much self-conscious discussion. The original goal was neither to develop nor promote a modeling revolution. That has occurred; I documented its development and its status. Two organizing principles are presented that show how both perspectives can be reconciled and accommodated. A program of research that could not have occurred within the standard NHST epistemology, without a modeling perspective, is discussed. An historical and cross-disciplinary analogy suggests their view is similar to Galileo’s world view, whereas some branches of social and behavioral science may be ready for something closer to a Newtonian perspective.
Rodgers, Joseph Lee
"Statistical and Mathematical Modeling versus NHST? There’s No Competition!,"
Journal of Modern Applied Statistical Methods:
2, Article 3.
Available at: http://digitalcommons.wayne.edu/jmasm/vol9/iss2/3