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@article{boelstad:2023,
	author = {B{\o}lstad, J{\o}rgen},
	date-added = {2022-12-29 12:18:11 +0100},
	date-modified = {2022-12-29 14:25:02 +0100},
	journal = {Political Analysis},
	publisher = {Cambridge University Press},
	title = {{Hierarchical Bayesian Aldrich-McKelvey Scaling}},
	year = {2024},
	number = {1},
	pages = {50--64},
	volume = {32},
	url = {https://doi.org/10.1017/pan.2023.18}}

@article{aldrich:1977,
	author = {Aldrich, John H and McKelvey, Richard D},
	date-added = {2022-12-29 12:17:53 +0100},
	date-modified = {2022-12-29 14:25:18 +0100},
	journal = {American Political Science Review},
	number = {1},
	pages = {111--130},
	publisher = {JSTOR},
	title = {{A Method of Scaling with Applications to the 1968 and 1972 Presidential Elections}},
	volume = {71},
	year = {1977}}

@article{hare:2015,
	abstract = {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 {B}ayesian 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.},
	author = {Hare, Christopher and Armstrong, David A. and Bakker, Ryan and Carroll, Royce and Poole, Keith T.},
	date-added = {2022-12-29 12:17:43 +0100},
	date-modified = {2023-01-28 19:53:35 +0100},
	journal = {American Journal of Political Science},
	keywords = {http://dx.doi.org/10.1111/ajps.12151},
	number = {3},
	pages = {759--774},
	title = {{Using {B}ayesian {A}ldrich-{M}cKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions}},
	volume = {59},
	year = {2015},
	bdsk-url-1 = {http://dx.doi.org/10.1111/ajps.12151}}

@article{boelstad:2020,
	author = {B{\o}lstad, J{\o}rgen},
	date-added = {2022-12-29 12:17:31 +0100},
	date-modified = {2022-12-29 14:25:10 +0100},
	journal = {Political Analysis},
	keywords = {10.1017/pan.2019.42},
	number = {3},
	pages = {340--355},
	publisher = {Cambridge University Press},
	title = {{Capturing Rationalization Bias and Differential Item Functioning: A Unified {B}ayesian Scaling Approach}},
	volume = {28},
	year = {2020},
	bdsk-url-1 = {https://dx.doi.org/10.1017/pan.2019.42}}
