Statistical tests with MUSHRA data

Catarina Mendonça*, Symeon Delikaris-Manias

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

7 Citations (Scopus)


This work raises concerns regarding the statistical analysis of data obtained with the MUSHRA method. There is a widespread tendency to prefer the ANOVA test, which is supported by the recommendation. This work analyses four assumptions underlying the ANOVA tests: interval scale, normality, equal variances and independence. Data were collected from one experiment and one questionnaire. It is found that MUSHRA data tend to violate all of the above assumptions. The consequences of each violation are debated. The violation of multiple assumptions is of concern. The violation of independence of observations leads to the most serious concern. In light of these findings, it is concluded that ANOVA tests have a high likelihood of resulting in type 1 error (false positives) with MUSHRA data and should therefore never be used with this type of data. The paper finishes with a section devoted to statistical recommendations. It is recommended that when using the MUSHRA method, the Wilcoxon or Friedman tests be used. Alternatively, statistical tests based on resampling methods are also appropriate.

Original languageEnglish
Title of host publication144th Audio Engineering Society International Convention 2018
PublisherAudio Engineering Society
ISBN (Print)9781510864740
Publication statusPublished - 1 Jan 2018
MoE publication typeB3 Non-refereed article in conference proceedings
EventAudio Engineering Society Convention - Milan, Italy
Duration: 23 May 201826 May 2018
Conference number: 144


ConferenceAudio Engineering Society Convention
Abbreviated titleAES

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