References:
The Aligned Rank Transform for Nonparametric Factorial Analyses Using Only Anova Procedures by Jacob O. Wobbrock, Leah Findlater, Darren Gergle, and James J. Higgins.
Published in the CHI '11 Proceedings of the 2011 annual conference on Human factors in computing systems.
Author Bios:
Jacob Wobbrock is an associate professor in the department of computer science at the University of Washington.
Leah Findlater is a researcher for the Information School.
Darren Gergle is an associate professor at Northwestern University.
James Higgens is a professor at Kansas State University.
Summary:
Hypothesis:
That we could use the Aligned Rank Transform to better observe and change data in nonparametric tests.
Methods:
The four states of the Aligned Rank Transform are as follows, computing residuals, computing estimated effects, computing aligned responses and performing as full-factorial ANOVA.
Results:
In the study the researches attempted to show that the ART system was superior by redoing several studies that had already been conducted. The first test showed how ART uncovers interaction effects, the second case showed how the ART can free analysts from the distributional assumptions of ANOVA, and the final one demonstrated nonparametric testing.
Discussion:
This paper was really uninteresting. While i feel like the stuff that was accomplished during this experiment was probably useful, i really could not get into it. The material was too dense and its applications to the real world were not really evident. Overall it was just hard for me to see how and why this would be useful, though im sure it will be.
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