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What Do We Measure When We Measure Affective Polarization?
What Do We Measure When We Measure Affective Polarization?
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What Do We Measure When We Measure Affective Polarization?

Druckman, James N ; Levendusky, Matthew S

Public opinion quarterly, 2019-05, Vol.83 (1), p.114-122 [Peer Reviewed Journal]

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2
Ideologues without Issues: The Polarizing Consequences of Ideological Identities
Ideologues without Issues: The Polarizing Consequences of Ideological Identities
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Ideologues without Issues: The Polarizing Consequences of Ideological Identities

Mason, Lilliana

Public opinion quarterly, 2018-01, Vol.82 (S1), p.866-887 [Peer Reviewed Journal]

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3
How Affective Polarization Undermines Support for Democratic Norms
How Affective Polarization Undermines Support for Democratic Norms
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How Affective Polarization Undermines Support for Democratic Norms

Kingzette, Jon ; Druckman, James N ; Klar, Samara ; Krupnikov, Yanna ; Levendusky, Matthew ; Ryan, John Barry

Public opinion quarterly, 2021-10, Vol.85 (2), p.663-677 [Peer Reviewed Journal]

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4
Anti-Intellectualism, Populism, and Motivated Resistance to Expert Consensus
Anti-Intellectualism, Populism, and Motivated Resistance to Expert Consensus
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Anti-Intellectualism, Populism, and Motivated Resistance to Expert Consensus

Merkley, Eric

Public opinion quarterly, 2020-03, Vol.84 (1), p.24-48 [Peer Reviewed Journal]

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5
Artificial Intelligence and Marketing: Pitfalls and Opportunities
Artificial Intelligence and Marketing: Pitfalls and Opportunities
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Artificial Intelligence and Marketing: Pitfalls and Opportunities

De Bruyn, Arnaud ; Viswanathan, Vijay ; Beh, Yean Shan ; Brock, Jürgen Kai-Uwe ; von Wangenheim, Florian

Journal of interactive marketing, 2020-08, Vol.51 (1), p.91-105 [Peer Reviewed Journal]

Los Angeles, CA: Elsevier Inc

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6
Mobilizing Sexism: The Interaction of Emotion and Gender Attitudes in the 2016 US Presidential Election
Mobilizing Sexism: The Interaction of Emotion and Gender Attitudes in the 2016 US Presidential Election
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Mobilizing Sexism: The Interaction of Emotion and Gender Attitudes in the 2016 US Presidential Election

Valentino, Nicholas A ; Wayne, Carly ; Oceno, Marzia

Public opinion quarterly, 2018-01, Vol.82 (S1), p.799-821 [Peer Reviewed Journal]

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7
Vote Switching in the 2016 Election: How Racial and Immigration Attitudes, Not Economics, Explain Shifts in White Voting
Vote Switching in the 2016 Election: How Racial and Immigration Attitudes, Not Economics, Explain Shifts in White Voting
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Vote Switching in the 2016 Election: How Racial and Immigration Attitudes, Not Economics, Explain Shifts in White Voting

Reny, Tyler T ; Collingwood, Loren ; Valenzuela, Ali A

Public opinion quarterly, 2019-05, Vol.83 (1), p.91-113 [Peer Reviewed Journal]

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8
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs
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Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs

Gelman, Andrew ; Imbens, Guido

Journal of business & economic statistics, 2019-07, Vol.37 (3), p.447-456 [Peer Reviewed Journal]

Alexandria: Taylor & Francis

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9
AFFECT, NOT IDEOLOGY: A SOCIAL IDENTITY PERSPECTIVE ON POLARIZATION
AFFECT, NOT IDEOLOGY: A SOCIAL IDENTITY PERSPECTIVE ON POLARIZATION
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AFFECT, NOT IDEOLOGY: A SOCIAL IDENTITY PERSPECTIVE ON POLARIZATION

IYENGAR, SHANTO ; SOOD, GAURAV ; LELKES, YPHTACH

Public opinion quarterly, 2012-10, Vol.76 (3), p.405-431 [Peer Reviewed Journal]

Oxford: Oxford University Press

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10
Elasticities and the Inverse Hyperbolic Sine Transformation
Elasticities and the Inverse Hyperbolic Sine Transformation
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Elasticities and the Inverse Hyperbolic Sine Transformation

Bellemare, Marc F. ; Wichman, Casey J.

Oxford bulletin of economics and statistics, 2020-02, Vol.82 (1), p.50-61 [Peer Reviewed Journal]

Oxford: Blackwell Publishing Ltd

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