IDEAS home Printed from https://ideas.repec.org/a/spr/astaws/v13y2019i3d10.1007_s11943-019-00263-7.html
   My bibliography  Save this article

Anforderungen an eine Statistik-Ausbildung im 21. Jahrhundert vor dem Hintergrund von Statistical (Il‑)Literacy
[Demands placed on statistics training in the 21st century against the backdrop of statistical (il)literacy]

Author

Listed:
  • Björn Christensen

    (Fachhochschule Kiel)

Abstract

Zusammenfassung Im vorliegenden Beitrag wird anhand von exemplarischen Beispielen aufgeführt, welche Anforderungen an den kompetenzorientierten Umgang mit Statistik gestellt werden sollten und wie sich diese Anforderungen vor dem Hintergrund zunehmender Datenverfügbarkeit mit unterschiedlicher Strukturierungsform (Big Data) verändern. Insbesondere in Fächern, in denen die Statistikausbildung nicht zum Kerninhalt gehört, sollte vorrangig das „Denken in Daten(modellen)“ sowie die Interpretation und Bewertung von Ergebnissen statistischer Berechnungen gelehrt werden.

Suggested Citation

  • Björn Christensen, 2019. "Anforderungen an eine Statistik-Ausbildung im 21. Jahrhundert vor dem Hintergrund von Statistical (Il‑)Literacy [Demands placed on statistics training in the 21st century against the backdrop of st," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 13(3), pages 193-201, November.
    • Handle: RePEc:spr:astaws:v:13:y:2019:i:3:d:10.1007_s11943-019-00263-7
    DOI: 10.1007/s11943-019-00263-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11943-019-00263-7
    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/s11943-019-00263-7?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. Shakira F. Suglia & Sara Solnick & David Hemenway, 2013. "Soft Drinks Consumption is Associated with Behavior Problems in Five-Year Olds," Working Papers 1476, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
    2. repec:pri:crcwel:wp13-10-ff is not listed on IDEAS
    3. Markus Zwick, 2016. "Statistikausbildung in Zeiten von Big Data [Statistical education in times of Big Data]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 127-139, October.
    Full references (including those not matched with items on IDEAS)

    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. Jana Holubcikova & Peter Kolarcik & Andrea Madarasova Geckova & Sijmen Reijneveld & Jitse Dijk, 2015. "The mediating effect of daily nervousness and irritability on the relationship between soft drink consumption and aggressive behaviour among adolescents," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 699-706, September.
    2. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    3. Kadel, Philipp & Schneider, Sven & Mata, Jutta, 2020. "Soft drink consumption and mental health problems: Longitudinal relations in children and adolescents," Social Science & Medicine, Elsevier, vol. 258(C).
    4. Ralf Thomas Münnich & Markus Zwick, 2016. "Big Data und was nun? Neue Datenbestände und ihre Auswirkungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 73-77, October.
    5. Mark Skidmore & William Dyar, 2015. "Diminishing Health, Rising Health Care Costs and Long-run Growth in Local Government Spending," CESifo Working Paper Series 5646, CESifo.

    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:astaws:v:13:y:2019:i:3:d:10.1007_s11943-019-00263-7. 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.