IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v34y2019i4d10.1007_s00180-019-00866-2.html
   My bibliography  Save this article

Soul of the community: an attempt to assess attachment to a community

Author

Listed:
  • Anna Quach

    (Utah State University)

  • Jürgen Symanzik

    (Utah State University)

  • Nicole Forsgren

    (Utah State University)

Abstract

In this article, we work with data from the Soul of the Community survey project that was conducted by the Knight Foundation from 2008 to 2010. Overall, 26 communities across the United States with a total of more than 47,800 participants took part in this study. Each year, around 200 different questions were posed to each participant. One key variable is attachment to one’s community. In our article, we provide an assessment via various machine learning algorithms which factors may have an effect on attachment.

Suggested Citation

  • Anna Quach & Jürgen Symanzik & Nicole Forsgren, 2019. "Soul of the community: an attempt to assess attachment to a community," Computational Statistics, Springer, vol. 34(4), pages 1565-1589, December.
  • Handle: RePEc:spr:compst:v:34:y:2019:i:4:d:10.1007_s00180-019-00866-2
    DOI: 10.1007/s00180-019-00866-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00180-019-00866-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00180-019-00866-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heike Hofmann & Hadley Wickham & Dianne Cook, 2019. "The 2013 Data Expo of the American Statistical Association," Computational Statistics, Springer, vol. 34(4), pages 1443-1447, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heike Hofmann & Hadley Wickham & Dianne Cook, 2019. "The 2013 Data Expo of the American Statistical Association," Computational Statistics, Springer, vol. 34(4), pages 1443-1447, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natalia da Silva & Ignacio Alvarez-Castro, 2019. "Clicks and cliques: exploring the soul of the community," Computational Statistics, Springer, vol. 34(4), pages 1537-1563, December.
    2. Andee J. Kaplan & Eric R. Hare, 2019. "Putting down roots: a graphical exploration of community attachment," Computational Statistics, Springer, vol. 34(4), pages 1449-1464, December.
    3. Samuel Ackerman, 2019. "Consistency of survey opinions and external data," Computational Statistics, Springer, vol. 34(4), pages 1489-1509, December.
    4. Roya Amjadi & Wendy Martinez, 2021. "The 2016 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 36(3), pages 1553-1560, September.
    5. Karsten Maurer & Dave Osthus & Adam Loy, 2019. "A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi," Computational Statistics, Springer, vol. 34(4), pages 1465-1487, December.
    6. Mine Cetinkaya-Rundel & Wendy Martinez, 2023. "The 2018 data challenge expo of the American statistical association," Computational Statistics, Springer, vol. 38(3), pages 1117-1122, September.
    7. Amelia A. McNamara, 2019. "Community engagement and subgroup meta-knowledge: some factors in the soul of a community," Computational Statistics, Springer, vol. 34(4), pages 1511-1535, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:34:y:2019:i:4:d:10.1007_s00180-019-00866-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.