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Nonparametric Statistics in Human–Computer Interaction

Authors :
Matthew W. Kay
Jacob O. Wobbrock
Source :
Human–Computer Interaction Series ISBN: 9783319266312
Publication Year :
2016
Publisher :
Springer International Publishing, 2016.

Abstract

Data not suitable for classic parametric statistical analyses arise frequently in human–computer interaction studies. Various nonparametric statistical procedures are appropriate and advantageous when used properly. This chapter organizes and illustrates multiple nonparametric procedures, contrasting them with their parametric counterparts. Guidance is given for when to use nonparametric analyses and how to interpret and report their results.

Details

ISBN :
978-3-319-26631-2
ISBNs :
9783319266312
Database :
OpenAIRE
Journal :
Human–Computer Interaction Series ISBN: 9783319266312
Accession number :
edsair.doi...........b75067d36adde67fafd7d74aa1386ea8
Full Text :
https://doi.org/10.1007/978-3-319-26633-6_7