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Implications of the Data Revolution for Statistics Education

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  • Jim Ridgway

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  • Jim Ridgway, 2016. "Implications of the Data Revolution for Statistics Education," International Statistical Review, International Statistical Institute, vol. 84(3), pages 528-549, December.
    • Handle: RePEc:bla:istatr:v:84:y:2016:i:3:p:528-549
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    File URL: http://hdl.handle.net/10.1111/insr.12110
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    References listed on IDEAS

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    1. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    2. David J. Hand, 2009. "Modern statistics: the myth and the magic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 287-306, April.
    3. Garrett Grolemund & Hadley Wickham, 2014. "A Cognitive Interpretation of Data Analysis," International Statistical Review, International Statistical Institute, vol. 82(2), pages 184-204, August.
    4. C. J. Wild & M. Pfannkuch & M. Regan & N. J. Horton, 2011. "Towards more accessible conceptions of statistical inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 247-295, April.
    5. Pearl Judea, 2010. "An Introduction to Causal Inference," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-62, February.
    6. Nolan, Deborah & Temple Lang, Duncan, 2010. "Computing in the Statistics Curricula," The American Statistician, American Statistical Association, vol. 64(2), pages 97-107.
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    Cited by:

    1. Kevin Cummiskey & Karsten Lübke, 2022. "Causality in statistics and data science education," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(3), pages 277-286, December.
    2. Cimpoeru, Smaranda & Roman, Monica, 2018. "Statistical Literacy and Attitudes Towards Statistics of Romanian Undergraduate Students," MPRA Paper 90452, University Library of Munich, Germany, revised 31 Aug 2018.
    3. Jeonghyun Kim & Lingzi Hong & Sarah Evans, 2024. "Toward measuring data literacy for higher education: Developing and validating a data literacy self‐efficacy scale," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(8), pages 916-931, August.

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