Research Repository

Using Bayesian Aldrich-McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions

Hare, Christopher and Armstrong, David A and Bakker, Ryan and Carroll, Royce and Poole, Keith T (2015) 'Using Bayesian Aldrich-McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions.' American Journal of Political Science, 59 (3). 759 - 774. ISSN 0092-5853

Hare et al. - 2015 - Using Bayesian Aldrich-McKelvey Scaling to Study C.pdf - Accepted Version

Download (843kB) | Preview


Aldrich‐McKelvey scaling is a powerful method that corrects for differential‐item functioning (DIF) in estimating the positions of political stimuli (e.g., parties and candidates) and survey respondents along a latent policy dimension from issue scale data. DIF arises when respondents interpret issue scales (e.g., the standard liberal‐conservative scale) differently and distort their placements of the stimuli and themselves. We develop a Bayesian implementation of the classical maximum likelihood Aldrich‐McKelvey scaling method that overcomes some important shortcomings in the classical procedure. We then apply this method to study citizens' ideological preferences and perceptions using data from the 2004–2012 American National Election Studies and the 2010 Cooperative Congressional Election Study. Our findings indicate that DIF biases self‐placements on the liberal‐conservative scale in a way that understates the extent of polarization in the contemporary American electorate and that citizens have remarkably accurate perceptions of the ideological positions of senators and Senate candidates.

Item Type: Article
Subjects: H Social Sciences > HA Statistics
J Political Science > JK Political institutions (United States)
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Royce Carroll
Date Deposited: 21 Feb 2017 14:35
Last Modified: 13 Nov 2020 15:15

Actions (login required)

View Item View Item