### Abstract

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 language | English |
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Title of host publication | 144th Audio Engineering Society International Convention 2018 |

Publisher | Audio Engineering Society |

Pages | 859-868 |

ISBN (Print) | 9781510864740 |

Publication status | Published - 1 Jan 2018 |

MoE publication type | B3 Non-refereed article in conference proceedings |

Event | Audio Engineering Society Convention - Milan, Italy Duration: 23 May 2018 → 26 May 2018 Conference number: 144 |

### Conference

Conference | Audio Engineering Society Convention |
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Abbreviated title | AES |

Country | Italy |

City | Milan |

Period | 23/05/2018 → 26/05/2018 |

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## Cite this

*144th Audio Engineering Society International Convention 2018*(pp. 859-868). Audio Engineering Society.