Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2013
Abstract
Models of communication processes sometimes require the computation of the difference between two variables. For example, information insufficiency is the difference between what people know and what they think they need to know about an issue, and it can motivate information seeking and processing. Common methods that compute this differential may bias model estimates as a function of the correlation between the differentiated variables and other variables in the model. This article describes Citation the general form of Cohen and Cohen's (1983) analysis of partial variance for computing differentials and analyzes simulated data to contrast that method with two alternative methods. The discussion recommends the use of the general form of the Cohen and Cohen method in other areas of communication research, such as studies of third-person perception.
Discipline
Communication
Research Areas
Integrative Research Areas
Publication
Communication Methods and Measures
Volume
7
Issue
2
First Page
106
Last Page
125
ISSN
1931-2458
Identifier
10.1080/19312458.2013.789837
Publisher
Taylor and Francis Group
Citation
ROSENTHAL, Sonny.
Measuring differentials in communication research: Issues with multicollinearity in three methods. (2013). Communication Methods and Measures. 7, (2), 106-125.
Available at: https://ink.library.smu.edu.sg/cis_research/206
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/19312458.2013.789837