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Analysis of Population Diversity

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  • Jay D. Teachman

    (University of Iowa)

Abstract

Defining population diversity to be the distribution of population elements along a continuum of homogeneity to heterogeneity with respect to one or more variables, measures are described with variance-based interpretations which can be applied to qualitative data. A significant contribution is that the measures are not restricted to the analysis of univariate distributions. Rather, it is possible to use these statistics to define relationships in bivariate and multivariate distributions.

Suggested Citation

  • Jay D. Teachman, 1980. "Analysis of Population Diversity," Sociological Methods & Research, , vol. 8(3), pages 341-362, February.
    • Handle: RePEc:sae:somere:v:8:y:1980:i:3:p:341-362
    DOI: 10.1177/004912418000800305
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    Cited by:

    1. Fabrizio Maturo & Stefania Migliori & Francesco Paolone, 2019. "Measuring and monitoring diversity in organizations through functional instruments with an application to ethnic workforce diversity of the U.S. Federal Agencies," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 357-388, December.
    2. Ulrich Kaiser & Bettina Müller, 2013. "Team Heterogeneity in Startups and its Development over Time," Working Papers 337, University of Zurich, Department of Business Administration (IBW).
    3. Fornaro, Paolo & Maliranta, Mika & Rouvinen, Petri, 2019. "Immigrant Innovators and Firm Performance," ETLA Working Papers 63, The Research Institute of the Finnish Economy.
    4. Vogel, Rick & Puhan, Tatjana Xenia & Shehu, Edlira & Kliger, Doron & Beese, Henning, 2014. "Funding decisions and entrepreneurial team diversity: A field study," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 595-613.
    5. Eduardo Barberis, 2017. "Diversity, entrepreneurship and local embeddedness. A case study in Milan, Italy," Argomenti, University of Urbino Carlo Bo, Department of Economics, Society & Politics, vol. 7(7), pages 1-25, May-Augus.
    6. Guiyang Zhang & Chaoying Tang, 2018. "How R&D partner diversity influences innovation performance: an empirical study in the nano-biopharmaceutical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1487-1512, September.

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