Two-way ANOVA and the News Coverage Index (2012) : TV news story length by story placement and media outlet type /

This dataset example introduces researchers to two-way Analysis of Variance (ANOVA). Two-way ANOVA is an extension of one-way ANOVA that allows researchers to examine the influence of two different categorical variables on one continuous variable. Two-way ANOVA lets researchers assess the main effec...

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Bibliographic Details
Corporate Author: Howard W. Odum Institute for Research in Social Science (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2017.
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Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset example introduces researchers to two-way Analysis of Variance (ANOVA). Two-way ANOVA is an extension of one-way ANOVA that allows researchers to examine the influence of two different categorical variables on one continuous variable. Two-way ANOVA lets researchers assess the main effect of each categorical variable on the continuous variable in question as well as the interactive effect of the two categorical variables combined. This example uses a subset of data from the Pew Research Centers Project for Excellence in Journalism News Coverage Index for 2012. Specifically, we test whether the length of TV news stories differs based on where in the broadcast the story is placed and whether the news program in question airs on network TV or cable TV. Understanding the factors associated with the length of TV news stories can help researchers understand market strategies for TV news shows and how viewers might experience news reports based on whether they watch network or cable news programs. The sample dataset used for this example has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (http://www.journalism.org/datasets/2012-news-coverage-index-data-set/).Direct Prerequisites: One-way ANOVA.
Physical Description:1 online resource : illustrations.
ISBN:9781473995512
1473995515