IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v84y2016i2p194-202.html
   My bibliography  Save this article

Discussion: Locating Statistics in the World of Finding Out

Author

Listed:
  • Chris J. Wild

Abstract

No abstract is available for this item.

Suggested Citation

  • Chris J. Wild, 2016. "Discussion: Locating Statistics in the World of Finding Out," International Statistical Review, International Statistical Institute, vol. 84(2), pages 194-202, August.
    • Handle: RePEc:bla:istatr:v:84:y:2016:i:2:p:194-202
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/insr.12152
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Peter Petocz & Anna Reid, 2010. "On Becoming a Statistician—A Qualitative View," International Statistical Review, International Statistical Institute, vol. 78(2), pages 271-286, August.
    2. Garrett Grolemund & Hadley Wickham, 2014. "A Cognitive Interpretation of Data Analysis," International Statistical Review, International Statistical Institute, vol. 82(2), pages 184-204, August.
    3. George Cobb, 2015. "Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 266-282, November.
    4. Iddo Gal & Irena Ograjenšek, 2010. "Qualitative Research in the Service of Understanding Learners and Users of Statistics," International Statistical Review, International Statistical Institute, vol. 78(2), pages 287-296, August.
    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. Iddo Gal & Irena Ograjenšek, 2016. "Rejoinder: More on Enhancing Statistics Education with Qualitative Ideas," International Statistical Review, International Statistical Institute, vol. 84(2), pages 202-209, August.

    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. Irena Ograjenšek & Iddo Gal, 2016. "Enhancing Statistics Education by Including Qualitative Research," International Statistical Review, International Statistical Institute, vol. 84(2), pages 165-178, August.
    2. Roger W. Hoerl & Ronald D. Snee, 2017. "Statistical Engineering: An Idea Whose Time Has Come?," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 209-219, July.
    3. Coen van Gulijk & Peter Hughes & Miguel Figueres-Esteban & Rawia El-Rashidy & George Bearfield, 2018. "The case for IT transformation and big data for safety risk management on the GB railways," Journal of Risk and Reliability, , vol. 232(2), pages 151-163, April.
    4. Seokmin Kang & Sungyeun Kim, 2022. "Lessons Learned from Topic Modeling Analysis of COVID-19 News to Enrich Statistics Education in Korea," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    5. Thomas King, 2013. "A framework for analysing social sequences," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 167-191, January.
    6. Daniel Kaplan, 2018. "Teaching Stats for Data Science," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 89-96, January.
    7. Schweinsberg, Martin & Feldman, Michael & Staub, Nicola & van den Akker, Olmo R. & van Aert, Robbie C.M. & van Assen, Marcel A.L.M. & Liu, Yang & Althoff, Tim & Heer, Jeffrey & Kale, Alex & Mohamed, Z, 2021. "Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 228-249.
    8. Iddo Gal & Irena Ograjenšek, 2016. "Rejoinder: More on Enhancing Statistics Education with Qualitative Ideas," International Statistical Review, International Statistical Institute, vol. 84(2), pages 202-209, August.
    9. Manuela Svoboda, 2022. "Evaluation of Motivation, Expectation, and Present Situation in 3rd Year Undergraduate Students of German Language and Literature at the University of Rijeka, Croatia," European Journal of Education Articles, Revistia Research and Publishing, vol. 5, ejed_v5_i.
    10. Nicholas Jon Horton, 2016. "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, vol. 84(2), pages 179-181, August.
    11. Iddo Gal & Irena Ograjenšek, 2010. "Qualitative Research in the Service of Understanding Learners and Users of Statistics," International Statistical Review, International Statistical Institute, vol. 78(2), pages 287-296, August.
    12. Ryan Sterling McCulloch, 2017. "Learning Outcomes in a Laboratory Environment vs. Classroom for Statistics Instruction: An Alternative Approach Using Statistical Software," International Journal of Higher Education, Sciedu Press, vol. 6(5), pages 131-131, October.
    13. Jeff Witmer, 2017. "Bayes and MCMC for Undergraduates," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 259-264, July.
    14. Jim Ridgway, 2016. "Implications of the Data Revolution for Statistics Education," International Statistical Review, International Statistical Institute, vol. 84(3), pages 528-549, December.
    15. Robert A. Stine, 2017. "Explaining Normal Quantile-Quantile Plots Through Animation: The Water-Filling Analogy," The American Statistician, Taylor & Francis Journals, vol. 71(2), pages 145-147, April.
    16. Amy L. Phelps & Kathryn A. Szabat, 2017. "The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who is Teaching What?," The American Statistician, Taylor & Francis Journals, vol. 71(2), pages 155-161, April.
    17. Scotland Leman & Leanna House & Andrew Hoegh, 2015. "Developing a New Interdisciplinary Computational Analytics Undergraduate Program: A Qualitative-Quantitative-Qualitative Approach," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 397-408, November.
    18. Gal Iddo & Ograjenšek Irena, 2017. "Official Statistics and Statistics Education: Bridging the Gap," Journal of Official Statistics, Sciendo, vol. 33(1), pages 79-100, March.
    19. Nicholas Berente & Stefan Seidel & Hani Safadi, 2019. "Research Commentary—Data-Driven Computationally Intensive Theory Development," Service Science, INFORMS, vol. 30(1), pages 50-64, March.
    20. Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.

    More about this item

    Statistics

    Access and download statistics

    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:bla:istatr:v:84:y:2016:i:2:p:194-202. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.html .

    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.