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Below results based on the criteria 'factor analysis'
Total number of records returned: 4

Operationalizing and Testing Spatial Theories of Voting
Quinn, Kevin M.
Martin, Andrew D.

Uploaded 04-15-1998
Keywords spatial voting
factor analysis
multinomial probit
multinomial logit
Bayesian inference
model comparison
Bayes factors
Dutch politics
Danish politics
Abstract Spatial models of voting behavior provide the foundation for a substantial number of theoretical results. Nonetheless, empirical work involving the spatial model faces a number of potential difficulties. First, measures of the latent voter and candidate issue positions must be obtained. Second, evaluating the fit of competing statistical models of voter choice is often more complicated than previously realized. In this paper, we discuss precisely these issues. We argue that confirmatory factor analysis applied to mass-level issue preference questions is an attractive means of measuring voter ideal points. We also show how party issue positions can be recovered using a variation of this strategy. We go on to discuss the problems of assessing the fit of competing statistical models (multinomial logit vs. multinomial probit) and competing explanations (those based on spatial theory vs. those derived from other theories of voting such as sociological theories). We demonstrate how the Bayesian perspective not only provides computational advantages in the case of fitting the multinomial probit model, but also how it facilitates both types of comparison mentioned above. Results from the Netherlands and Denmark suggest that even when the computational cost of multinomial probit is disregarded, the decision whether to use multinomial probit (MNP) or multinomial logit (MNL) is not clear-cut.

Pauline, the Mainstream, and Political Elites: the place of race in Australian political ideology
Jackman, Simon

Uploaded 08-25-1997
Keywords public opinion
political ideology
political elites
Australian politics
factor analysis
ideological locations
density estimation
plotting highest density regions
Abstract An often heard claim in the current ``race debate'' is that Australia's major political parties are out of touch with ``mainstream'' Australia on issues related to race. Parallel surveys of the electorate and candidates in the 1996 Federal election allow this claim to be tested, with items tapping general ideological dispositions, but including questions about Aboriginal Australians, immigration, and links with Asia. I make three critical findings: egin{itemize} item the electorate holds quite conservative opinions on these issues relative to the candidates, and is quite distant from ALP candidates in particular; item attitudes on racial issues are a powerful component of the electorate's otherwise relatively loosely organized political ideology, so much so that any categorisation of Australian political ideology ignoring race must be considered incomplete; item racial attitudes cut across other components of the electorate's ideology, placing all the parties under internal ideological strains, but the ALP appears particularly vulnerable on this score. end{itemize} While the data show the Coalition to be the net beneficiary of the ideological tensions posed by race, the formation of Pauline Hanson's One Nation party has exposed the Coalition's vulnerability to race as a cross-cutting political issue. Racial issues thus have many characteristics of a realigning dimension in Australian politics.

A Mixed-Membership Approach to the Assessment of Political Ideology from Survey Responses
Gross, Justin
Manrique-Vallier, Daniel

Uploaded 07-13-2012
Keywords latent structure model
latent variables
core values
discrete factor analysis
survey response
Abstract We employ mixed-membership (or grade-of-membership) techniques--of growing popularity in medical diagnostics, psychology, genetics, and machine learning--in order to identify prototypical profiles of survey respondents based on their answers to questions aimed at uncovering their basic orientations or ideological predispositions. In contrast with factor analytic techniques and IRT approaches, we treat both manifest and latent variables as categorical. A mixed membership model may be thought of as a generalization of latent class modeling, in which individuals act as members of more than one class. This notion is well-aligned with earlier theoretical work of Zaller, Feldman, Stimson, and others, who at times envision respondents to be internally complex, answering survey questions probabilistically according to what Zaller calls varying ``considerations.'' Reanalyzing data in this way, we develop new insights into the sorts of constraints that may structure mass belief systems.

Flexible Prior Specifications for Factor Analytic Models with an Application to the Measurement of American Political Ideology
Quinn, Kevin M.

Uploaded 04-20-2000
Keywords factor analysis
intrinsic autoregression
hierarchical modeling
Bayesian inference
political ideology
Abstract Factor analytic measurement models are widely used in the social sciences to measure latent variables and functions thereof. Examples include the measurement of: political preferences, liberal democracy, latent determinants of exchange rates, and latent factors in arbitrage pricing theory models and the corresponding pricing deviations. Oftentimes, the results of these measurement models are sensitive to distributional assumptions that are made regarding the latent factors. In this paper I demonstrate how prior distributions commonly used in image processing and spatial statistics provide a flexible means to model dependencies among the latent factor scores that cannot be easily captured with standard prior distributions that treat the factor scores as (conditionally) exchangeable. Markov chain Monte Carlo techniques are used to fit the resulting models. These modeling techniques are illustrated with a simulated data example and an analysis of American political attitudes drawn from the 1996 American National Election Study.

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