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The grand old party - a party of values?

Mair P, Rusch T, Hornik K - Springerplus (2014)

Bottom Line: In this article we explore the semantic space spanned by self-reported statements of Republican voters.Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party.With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology WJH 968, Harvard University, 33 Kirkland St, 02138 Cambridge, MA USA.

ABSTRACT
In this article we explore the semantic space spanned by self-reported statements of Republican voters. Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party. With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

No MeSH data available.


Fan dendrogram resulting from post MDS cluster analysis.
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Related In: Results  -  Collection

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Fig3: Fan dendrogram resulting from post MDS cluster analysis.

Mentions: The PGMDS solution is computed by feeding the gravity dissimilarity matrix into the R package smacof (De Leeuw and Mair2009). As a main output we get the resulting configurations in a two-dimensional space, reflecting word associations. The corresponding configuration plot and a fan dendrogram based on a post MDS hierarchical cluster analysis (using Ward’s criterion) are given in Figures2 and3.Figure 2


The grand old party - a party of values?

Mair P, Rusch T, Hornik K - Springerplus (2014)

Fan dendrogram resulting from post MDS cluster analysis.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4256162&req=5

Fig3: Fan dendrogram resulting from post MDS cluster analysis.
Mentions: The PGMDS solution is computed by feeding the gravity dissimilarity matrix into the R package smacof (De Leeuw and Mair2009). As a main output we get the resulting configurations in a two-dimensional space, reflecting word associations. The corresponding configuration plot and a fan dendrogram based on a post MDS hierarchical cluster analysis (using Ward’s criterion) are given in Figures2 and3.Figure 2

Bottom Line: In this article we explore the semantic space spanned by self-reported statements of Republican voters.Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party.With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology WJH 968, Harvard University, 33 Kirkland St, 02138 Cambridge, MA USA.

ABSTRACT
In this article we explore the semantic space spanned by self-reported statements of Republican voters. Our semantic structure analysis uses multidimensional scaling and social network analysis to extract, explore, and visualize word patterns and word associations in response to the stimulus statement "I'm a Republican, because …" which were collected from the official website of the Republican Party. With psychological value theory as our backdrop, we examine the association of specific keywords within and across the statements, compute clusters of statements based on these associations, and explore common word sequences Republican voters use to characterize their political association with the Party.

No MeSH data available.