Measuring differentials in communication research: Issues with multicollinearity in three methods
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....
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sg-smu-ink.cis_research-12052024-09-02T04:52:15Z Measuring differentials in communication research: Issues with multicollinearity in three methods ROSENTHAL, Sonny 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. 2013-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/cis_research/206 info:doi/10.1080/19312458.2013.789837 https://ink.library.smu.edu.sg/context/cis_research/article/1205/viewcontent/Measuring_Differentials_av_2013.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection College of Integrative Studies eng Institutional Knowledge at Singapore Management University Communication |
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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. |
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ROSENTHAL, Sonny |
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ROSENTHAL, Sonny |
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ROSENTHAL, Sonny |
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Measuring differentials in communication research: Issues with multicollinearity in three methods |
title_short |
Measuring differentials in communication research: Issues with multicollinearity in three methods |
title_full |
Measuring differentials in communication research: Issues with multicollinearity in three methods |
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Measuring differentials in communication research: Issues with multicollinearity in three methods |
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Measuring differentials in communication research: Issues with multicollinearity in three methods |
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measuring differentials in communication research: issues with multicollinearity in three methods |
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Institutional Knowledge at Singapore Management University |
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2013 |
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https://ink.library.smu.edu.sg/cis_research/206 https://ink.library.smu.edu.sg/context/cis_research/article/1205/viewcontent/Measuring_Differentials_av_2013.pdf |
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