On the Uniqueness and Non-Commutative Nature of Coefficients of Variables and Interactions in Hierarchical Moderated Multiple Regression of Masked Survey Data

H. I. Okagbue, M. O. Adamu, S. A. Iyase, S. O. Edeki, A. A. Opanuga, P. O. Ugwoke


The paper introduces the concept of reverse moderation in order to investigate the uniqueness of the coefficients of independent variables and non-commutative nature of interactions in moderated multiple regression (MMR) in hierarchical order. The moderation effect is 0.01and the data used was masked to maintain the integrity of an ongoing research. The research concludes that moderation and its reverse yield different results indicating the uniqueness of the coefficients of the independent variables and the interactions are not commutative. Interactions are one-way. Each case is different as shown by the results of the 20 models used.

DOI: 10.5901/mjss.2015.v6n4s3p408

Full Text: PDF

Licenza Creative Commons
This work is licensed under Creative Commons Attribution 3.0 License.

Mediterranean Journal of Social Sciences ISSN 2039-9340(Print) ISSN 2039-2117(Online)

Copyright © MCSER-Mediterranean Center of Social and Educational Research

To make sure that you can receive messages from us, please add the 'mcser.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders..