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Attitudinal Polarization and Trimodal Distributions: Measurement Problems and Theoretical Implications

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  • Dennis J. Downey
  • Matt L. Huffman

Abstract

Objective. We present trimodality as a distributional pattern that is relevant to conceptual issues of attitudinal polarization but fits nowhere along the modality‐bimodality continuum. Methods. We use simulated univariate distributions and distributions taken from the 1994 General Social Survey to investigate how commonly used measures track (or fail to track) noteworthy shifts in the distributions. Results. The kurtosis and variance are largely insensitive to important distributional differences, most importantly that between bimodality and trimodality. Conclusions. We argue that the lack of attention to trimodality and the insensitivity of commonly used measures of polarization (kurtosis in particular) to that distributional pattern create a blind spot in our thinking about polarization and can lead to basic misinterpretations of extant patterns in public opinion data.

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  • Dennis J. Downey & Matt L. Huffman, 2001. "Attitudinal Polarization and Trimodal Distributions: Measurement Problems and Theoretical Implications," Social Science Quarterly, Southwestern Social Science Association, vol. 82(3), pages 494-505, September.
    • Handle: RePEc:bla:socsci:v:82:y:2001:i:3:p:494-505
    DOI: 10.1111/0038-4941.00038
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    Cited by:

    1. Beaton, Anthony A. & Funk, Daniel C. & Ridinger, Lynn & Jordan, Jeremy, 2011. "Sport involvement: A conceptual and empirical analysis," Sport Management Review, Elsevier, vol. 14(2), pages 126-140, May.
    2. Ugur Ozdemir & Ali Ihsan Ozkes, 2014. "Measuring Public Preferential Polarization," Working Papers hal-00954497, HAL.
    3. John H. Evans, 2002. "Have Americans' Attitudes Become More Polarized? an Update," Working Papers 40, Princeton University, School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    4. repec:pri:cpanda:wp24%20-%20evans is not listed on IDEAS
    5. Jae Lee, 2015. "Assessing Mass Opinion Polarization in the US Using Relative Distribution Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(2), pages 571-598, November.
    6. Boris Sokolov, 2015. "ttitudinal Polarization Measurement Through (Ordered) Latent Class Analysis," HSE Working papers WP BRP 66/SOC/2015, National Research University Higher School of Economics.
    7. Rachel Sullivan, 2005. "The age pattern of first-birth rates among U.S. women: The bimodal 1990s," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 259-273, May.
    8. Filiberto Toledano-Toledano & José Moral de la Rubia & Miriam Teresa Domínguez-Guedea & Laura A. Nabors & Blanca E. Barcelata-Eguiarte & Eduardo Rocha-Pérez & David Luna & Ahidée Leyva-López & Leonor , 2020. "Validity and Reliability of the Beck Anxiety Inventory (BAI) for Family Caregivers of Children with Cancer," IJERPH, MDPI, vol. 17(21), pages 1-24, October.
    9. Francisco J. Sarabia-Sanchez & Maria J. Cerda-Bertomeu, 2017. "Place brand developers’ perceptions of brand identity, brand architecture and neutrality in place brand development," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 13(1), pages 51-64, February.

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