Abstract
So you have come to the end. You have, if all is according to plan, learned novel methods and have started to think fairly critically about the methods that are of common use in HCI. Perhaps you are convinced that we could, and should, improve our reporting practice. The previous chapter has highlighted, practically without reference to specific methods or choosing a “camp” (Bayesian or Frequentist), a large number of possible directions for improvements.
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Notes
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The search was carried out in Sept 2013.
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Other types of corrections may be more suitable given the intentions of the original research team: this is merely an illustrative example.
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See http://oulasvirta.posterous.com/86113982 for this discussion.
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The first replichi special interest group can be found at: http://chi2012.acm.org/program/desktop/Session25.html.
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For a detailed discussion of this see Stuart Reeve’s blog at http://notesonresearch.tumblr.com/.
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Robertson, J., Kaptein, M. (2016). Improving Statistical Practice in HCI. In: Robertson, J., Kaptein, M. (eds) Modern Statistical Methods for HCI. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-26633-6_14
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