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Statistical analysis of ordinal user opinion scores

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Publication date2012
Host publicationIEEE Consumer Communications and Networking Conference (CCNC), 2012
PublisherIEEE
Pages331-336
Number of pages6
ISBN (Print)978-1-4577-2070-3
Original languageEnglish

Conference

ConferenceIEEE Consumer Communications and Networking Conference
CountryUnited States
CityLas Vegas
Period20/12/12 → …

Conference

ConferenceIEEE Consumer Communications and Networking Conference
CountryUnited States
CityLas Vegas
Period20/12/12 → …

Abstract

Data-sets derived from subjective experiments are often exploited to construct objective quality models using parametric statistics such as MOS and multiple regression. In this paper, using data type and normality tests, we verify that non-normally distributed user opinion scores in nominal or ordinal responses should not be analysed using parametric statistics. The paper introduces a number of non-parametric statistics for valid model building and parameter estimation based on user opinion scores. A set of modelling results are also presented to demonstrate the effectiveness of non-parametric statistics.