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Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe.

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Analysing partial ranks by using smoothed paired comparison methods : an investigation of value orientation in Europe. / Francis, Brian; Dittrich, Regina; Hatzinger, Reinhold; Penn, Roger D.

In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 51, No. 3, 01.07.2002, p. 319-336.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Francis, B, Dittrich, R, Hatzinger, R & Penn, RD 2002, 'Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe.', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 51, no. 3, pp. 319-336. https://doi.org/10.1111/1467-9876.00271

APA

Francis, B., Dittrich, R., Hatzinger, R., & Penn, R. D. (2002). Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51(3), 319-336. https://doi.org/10.1111/1467-9876.00271

Vancouver

Francis B, Dittrich R, Hatzinger R, Penn RD. Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2002 Jul 1;51(3):319-336. https://doi.org/10.1111/1467-9876.00271

Author

Francis, Brian ; Dittrich, Regina ; Hatzinger, Reinhold ; Penn, Roger D. / Analysing partial ranks by using smoothed paired comparison methods : an investigation of value orientation in Europe. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 2002 ; Vol. 51, No. 3. pp. 319-336.

Bibtex

@article{9a554303d9854b4ba719d58b6c7c986a,
title = "Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe.",
abstract = "Summary. This paper introduces the paired comparison model as a suitable approach for the analysis of partially ranked data. For example, the Inglehart index, collected in international social surveys to examine shifts in post-materialistic values, generates such data on a set of attitude items. However, current analysis methods have failed to account for the complex shifts in individual item values, or to incorporate subject covariates. The paired comparison model is thus developed to allow for covariate subject effects at the individual level, and a reparameterization allows the inclusion of smooth non-linear effects of continuous covariates. The Inglehart index collected in the 1993 International Social Science Programme survey is analysed, and complex non-linear changes of item values with age, level of education and religion are identified. The model proposed provides a powerful tool for social scientists.",
author = "Brian Francis and Regina Dittrich and Reinhold Hatzinger and Penn, {Roger D.}",
note = "RAE_import_type : Journal article RAE_uoa_type : Sociology",
year = "2002",
month = jul,
day = "1",
doi = "10.1111/1467-9876.00271",
language = "English",
volume = "51",
pages = "319--336",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Analysing partial ranks by using smoothed paired comparison methods

T2 - an investigation of value orientation in Europe.

AU - Francis, Brian

AU - Dittrich, Regina

AU - Hatzinger, Reinhold

AU - Penn, Roger D.

N1 - RAE_import_type : Journal article RAE_uoa_type : Sociology

PY - 2002/7/1

Y1 - 2002/7/1

N2 - Summary. This paper introduces the paired comparison model as a suitable approach for the analysis of partially ranked data. For example, the Inglehart index, collected in international social surveys to examine shifts in post-materialistic values, generates such data on a set of attitude items. However, current analysis methods have failed to account for the complex shifts in individual item values, or to incorporate subject covariates. The paired comparison model is thus developed to allow for covariate subject effects at the individual level, and a reparameterization allows the inclusion of smooth non-linear effects of continuous covariates. The Inglehart index collected in the 1993 International Social Science Programme survey is analysed, and complex non-linear changes of item values with age, level of education and religion are identified. The model proposed provides a powerful tool for social scientists.

AB - Summary. This paper introduces the paired comparison model as a suitable approach for the analysis of partially ranked data. For example, the Inglehart index, collected in international social surveys to examine shifts in post-materialistic values, generates such data on a set of attitude items. However, current analysis methods have failed to account for the complex shifts in individual item values, or to incorporate subject covariates. The paired comparison model is thus developed to allow for covariate subject effects at the individual level, and a reparameterization allows the inclusion of smooth non-linear effects of continuous covariates. The Inglehart index collected in the 1993 International Social Science Programme survey is analysed, and complex non-linear changes of item values with age, level of education and religion are identified. The model proposed provides a powerful tool for social scientists.

U2 - 10.1111/1467-9876.00271

DO - 10.1111/1467-9876.00271

M3 - Journal article

VL - 51

SP - 319

EP - 336

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 3

ER -