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2 results

  • Chapter 2 - Testing the Null

  • from Part I - Why We Use Statistics
  • Paul Cairns, University of York
  • Book:
    Doing Better Statistics in Human-Computer Interaction
    Published online:
    26 January 2019
    Print publication:
    07 February 2019, pp 25-37

  • Summary

    Traditional statistical testing, sometimes called null hypothesis significance testing (NHST), and the use of p-values has come under strong criticism. This chapter looks at the social issues of achieving significance in statistics that has led to the problems of NHST. It also discusses, though, how the framework of severe testing provides a way to understand NHST as a means of uniting experiments, statistics and evidence for research ideas. When viewed this way, NHST can still be an important approach to data analysis in HCI.

  • Chapter 1 - How Statistics Support Science

  • from Part I - Why We Use Statistics
  • Paul Cairns, University of York
  • Book:
    Doing Better Statistics in Human-Computer Interaction
    Published online:
    26 January 2019
    Print publication:
    07 February 2019, pp 11-24

  • Summary

    This chapter discusses how statistics support scientific practice by providing evidence for new ideas despite natural variation we see between people, systems and contexts. In particular, the frameworks of severe testing and new experimentalism are used to show how experiments can add to knowledge in HCI, even in the absence of strong theories of interaction.