Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability. / Lauderdale, Ben; Hanretty, Christopher; Vivyan, Nick.

In: The Journal of Politics, Vol. 80, No. 2, 04.2018, p. 707-712.

Research output: Contribution to journalArticlepeer-review

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Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability. / Lauderdale, Ben; Hanretty, Christopher; Vivyan, Nick.

In: The Journal of Politics, Vol. 80, No. 2, 04.2018, p. 707-712.

Research output: Contribution to journalArticlepeer-review

Harvard

Lauderdale, B, Hanretty, C & Vivyan, N 2018, 'Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability', The Journal of Politics, vol. 80, no. 2, pp. 707-712. https://doi.org/10.1086/695673

APA

Vancouver

Author

Lauderdale, Ben ; Hanretty, Christopher ; Vivyan, Nick. / Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability. In: The Journal of Politics. 2018 ; Vol. 80, No. 2. pp. 707-712.

BibTeX

@article{17f54b8774454ddbb5af22d9b0e557ed,
title = "Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability",
abstract = "We propose a method for decomposing variation in the issue preferences that US citizens express on surveys into three sources of variability that correspond to major threads in public opinion research. We find that, averaging across a set of high profile US political issues, a single ideological dimension accounts for about 1/7 of opinion variation, individuals' idiosyncratic preferences account for about 3/7, and response instability for the remaining 3/7. These shares vary substantially across issue types and the average share attributable to ideology doubles when a second ideological dimension is permitted. We also find that (unidimensional) ideology accounts for almost twice as much response variation (and response instability is substantially lower) among respondents with high, rather than low, political knowledge. Our estimation strategy is based on an ordinal probit model with random effects, and is applicable to other data sets that include repeated measurements of ordinal issue position data.",
author = "Ben Lauderdale and Christopher Hanretty and Nick Vivyan",
year = "2018",
month = apr,
doi = "10.1086/695673",
language = "English",
volume = "80",
pages = "707--712",
journal = "The Journal of Politics",
issn = "0022-3816",
publisher = "University of Chicago Press",
number = "2",

}

RIS

TY - JOUR

T1 - Decomposing Public Opinion Variation into Ideology, Idiosyncrasy, and Instability

AU - Lauderdale, Ben

AU - Hanretty, Christopher

AU - Vivyan, Nick

PY - 2018/4

Y1 - 2018/4

N2 - We propose a method for decomposing variation in the issue preferences that US citizens express on surveys into three sources of variability that correspond to major threads in public opinion research. We find that, averaging across a set of high profile US political issues, a single ideological dimension accounts for about 1/7 of opinion variation, individuals' idiosyncratic preferences account for about 3/7, and response instability for the remaining 3/7. These shares vary substantially across issue types and the average share attributable to ideology doubles when a second ideological dimension is permitted. We also find that (unidimensional) ideology accounts for almost twice as much response variation (and response instability is substantially lower) among respondents with high, rather than low, political knowledge. Our estimation strategy is based on an ordinal probit model with random effects, and is applicable to other data sets that include repeated measurements of ordinal issue position data.

AB - We propose a method for decomposing variation in the issue preferences that US citizens express on surveys into three sources of variability that correspond to major threads in public opinion research. We find that, averaging across a set of high profile US political issues, a single ideological dimension accounts for about 1/7 of opinion variation, individuals' idiosyncratic preferences account for about 3/7, and response instability for the remaining 3/7. These shares vary substantially across issue types and the average share attributable to ideology doubles when a second ideological dimension is permitted. We also find that (unidimensional) ideology accounts for almost twice as much response variation (and response instability is substantially lower) among respondents with high, rather than low, political knowledge. Our estimation strategy is based on an ordinal probit model with random effects, and is applicable to other data sets that include repeated measurements of ordinal issue position data.

U2 - 10.1086/695673

DO - 10.1086/695673

M3 - Article

VL - 80

SP - 707

EP - 712

JO - The Journal of Politics

JF - The Journal of Politics

SN - 0022-3816

IS - 2

ER -