A multidimensional conceptualization of party identification

Weisberg, Herbert F.

doi:10.1007/bf00989755

Cited by 242 publications

(105 citation statements)

References 4 publications

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“…1 Similarly, Schubert's (1974, Chapter 7) work on the Supreme Court using a form of MDS (smallest space analysis) argues for one fewer dimension than does his earlier work on factor analysis of court decisions (Schubert, 1965, while more recent authors who use factor analysis (Dudley and Ducat, 1986;Ducat and Dudley, 1987) also find more dimensions in Supreme Court decisions than those who use MDS (Grofman and Brazill, in press). Similarly, some authors who use factor analysis to study the dimensionality of voters in the US have found separate loadings for pro-Democrat and pro-Republican dimensions rather than a unidimensional structure with strong Democratic supporters on one side and strong Republican supporters on the other (Weisberg, 1980). We offer in this paper a comparison of the properties of factor analysis and MDS as tools for the analysis of voter behavior.…”

Section: Introductionmentioning

confidence: 99%

Factor analysis versus multi-dimensional scaling: binary choice roll-call voting and the US Supreme Court

Brazill

Grofman

2002

Social Networks

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We evaluate factor analysis and multi-dimensional scaling (MDS) as tools for the analysis of voter decisions over a series of dichotomous choices. We simulate binary voting data with a known form and illustrate that standard factor analyses of these types of data yield additional artifactual dimensions. This effect may be exacerbated by the choice of inter-voter measures of similarity used as input. These results call in question the conclusions of others based on standard factor analyses of empirical voting data from the US Supreme Court. We demonstrate that MDS methods produce more parsimonious descriptions of these data.

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Section: Introductionmentioning

confidence: 99%

Factor analysis versus multi-dimensional scaling: binary choice roll-call voting and the US Supreme Court

Brazill

Grofman

2002

Social Networks

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“…This question is adapted from the "Feeling Thermometer" which has been widely used in the political science literature to produce rank-orderings of parties and candidates (Keller and Mirer, 1974) and to measure partisan affiliation (Alvarez, 1990;Weisberg, 1980). We complement the explicit taste measures with taste IATs (Greenwald et al, 1998).…”

Section: Measures Of Voter Tastementioning

confidence: 99%

Powerful Women: Does Exposure Reduce Bias?

Beaman¹,

et al. 2008

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We exploit random assignment of gender quotas across Indian village councils to investigate whether having a female chief councillor affects public opinion towards female leaders.Villagers who have never been required to have a female leader prefer male leaders and perceive hypothetical female leaders as less effective than their male counterparts, when stated performance is identical. Exposure to a female leader does not alter villagers' taste preference for male leaders. However, it weakens stereotypes about gender roles in the public and domestic spheres and eliminates the negative bias in how female leaders' effectiveness is perceived among male villagers. Female villagers exhibit less prior bias, but are also less likely to know about or participate in local politics; as a result, their attitudes are largely unaffected. Consistent with our experimental findings, villagers rate their women leaders as less effective when exposed to them for the first, but not second, time. These changes in attitude are electorally meaningful: after 10 years of the quota policy, women are more likely to stand for and win free seats in villages that have been continuously required to have a female chief councillor.

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“…On a scale of 1 to 10, the average man rates his feeling towards female leaders in general one whole point below those for (Bergemann and Valmiki, 2008 (Thernstrom and Thernstrom, 1997 (Keller and Mirer, 1974) and to measure partisan affiliation (Alvarez, 1990;Weisberg, 1980). We complement the explicit taste measures with taste IATs (Greenwald et al, 1998 13 Rooth (2007) shows that the D-measure for racial bias of Swedish employers correlates positively with the rate at which they call back applicants of different races.…”

Section: Introductionmentioning

confidence: 99%