The aligned rank transform for nonparametric factorial analyses using only anova procedures

By Jacob O. Wobbrock, Leah Findlater, Darren Gergle, J. J. Higgins. International Conference on Human Factors in Computing Systems, 2011

2,979 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Food Science, Social Psychology

View Paper: https://www.semanticscholar.org/paper/c2bb4c5fe187b32397a369ad5269dead5cb7aa7e

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Citations in the corpus

IntroAssist: A Tool to Support Writing Introductory Help Requests (2018, methodology): “Analysis was performed using the ARTool package in R [35,64].”
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML (2020, methodology): “We used separate 2×3 (Explanation×Feedback) ANOVAs with Aligned Rank Transforms for each main subjective measure— a test more appropriate for Likert scale data than a standard ANOVA [64].”
Visual challenges in the everyday lives of blind people (2013, methodology): “We performed the Aligned Rank Transform procedure [30] with photograph quality as a non-parametric measure, which revealed a trend level effect of time on quality, F(1,216) = 3.”
Consumed endurance: a metric to quantify arm fatigue of mid-air interactions (2014, methodology): “None of the dependent variables comply with the ANOVA assumptions (normality and equal variances) and therefore we applied the Aligned Rank Transform for nonparametric factorial analysis [33] with a Bonferroni correction for pairwise comparisons.”
Using Presence Questionnaires in Virtual Reality (2019, methodology): “[44] to perform non-parametric tests with the two independent variables Virtual Realism and Environment.”
Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative (2021, methodology): “For our multi-factor design (user mode and annotation difculty), we frst conduct an Aligned Rank Transform (ART) procedure [50].”
An Aligned Rank Transform Procedure for Multifactor Contrast Tests (2021, methodology): “𝐴 2, has an A significant 𝐴 × 𝐵 interaction would tell they are commonly used to conduct post hoc pairwise comparisons use the term single-factor contrasts to refer to comparisons between levels within a single factor (e.g., post hoc tests following a main effect), and multifactor contrasts to…”