Statistical analysis of ordinal user opinion scores

Mu Mu; Andreas Mauthe; Gareth Tyson; Eduardo Cerqueira

doi:10.1109/CCNC.2012.6181112

Statistical analysis of ordinal user opinion scores

Mu Mu, Andreas Mauthe, Gareth Tyson, Eduardo Cerqueira

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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.

Original language	English
Title of host publication	2012 IEEE Consumer Communications and Networking Conference, CCNC'2012
Pages	331-336
Number of pages	6
DOIs	https://doi.org/10.1109/CCNC.2012.6181112
Publication status	Published - 2012

Publication series

Name	2012 IEEE Consumer Communications and Networking Conference, CCNC'2012

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10.1109/CCNC.2012.6181112

Cite this

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title = "Statistical analysis of ordinal user opinion scores",

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.",

author = "Mu Mu and Andreas Mauthe and Gareth Tyson and Eduardo Cerqueira",

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doi = "10.1109/CCNC.2012.6181112",

language = "English",

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AU - Mauthe, Andreas

AU - Tyson, Gareth

AU - Cerqueira, Eduardo

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AB - -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.

UR - http://www.mendeley.com/research/statistical-analysis-ordinal-user-opinion-scores

U2 - 10.1109/CCNC.2012.6181112

DO - 10.1109/CCNC.2012.6181112

M3 - Chapter

SN - 9781457720710

T3 - 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012

SP - 331

EP - 336

BT - 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012

ER -

Statistical analysis of ordinal user opinion scores

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