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Bilinear models for scaling and score building: when should they be used?

Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

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Bilinear models for scaling and score building: when should they be used? / Francis, Brian; Davies, Elouise.
2019. Abstract from Correspondence Analysis and Related Methods 2019, Stellenbosch, South Africa.

Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

Harvard

Francis, B & Davies, E 2019, 'Bilinear models for scaling and score building: when should they be used?', Correspondence Analysis and Related Methods 2019, Stellenbosch, South Africa, 4/02/19 - 6/02/19. <https://carmesa2019.wixsite.com/conference/copy-of-programme>

APA

Francis, B., & Davies, E. (2019). Bilinear models for scaling and score building: when should they be used?. Abstract from Correspondence Analysis and Related Methods 2019, Stellenbosch, South Africa. https://carmesa2019.wixsite.com/conference/copy-of-programme

Vancouver

Francis B, Davies E. Bilinear models for scaling and score building: when should they be used?. 2019. Abstract from Correspondence Analysis and Related Methods 2019, Stellenbosch, South Africa.

Author

Francis, Brian ; Davies, Elouise. / Bilinear models for scaling and score building: when should they be used?. Abstract from Correspondence Analysis and Related Methods 2019, Stellenbosch, South Africa.

Bibtex

@conference{0f9621f4489a4c8b9b6f3d4f0d61af0e,
title = "Bilinear models for scaling and score building: when should they be used?",
abstract = "This talk looks at the utility of bilinear models for scorebuilding in contingency tables and contrasts it with thecorrespondence analysis approach. The groundwork for usingbilinear models for score building was laid down byClogg(1982), who specified a set of rules for the instrumentalvariable against which the target variable is classified.Typical bilinear models used for this purpose include the logmultiplicativemodel and the correspondence analysis model.While this approach seems at first sight to be promising,there are issues relating to empty cells and sample sizewhich often mean that the model fails to form exactly asintended. We discuss whether Clogg{\^a}€{\texttrademark}s rules needextending and determine whether similar rules are neededfor correspondence analysis. An example is used from theproblem of scaling crime harm and impact from survey data.Clogg, C. (1982) Using Association Models in SociologicalResearch: Some Examples. American Journal of SociologyVol. 88(1) 114-134",
keywords = "log-multiplicative models, bilinear models, seriation, criminology, harm, bilinear model, harm, score building",
author = "Brian Francis and Elouise Davies",
year = "2019",
month = feb,
language = "English",
note = "Correspondence Analysis and Related Methods 2019, CARMESA ; Conference date: 04-02-2019 Through 06-02-2019",
url = "https://carmesa2019.wixsite.com/conference",

}

RIS

TY - CONF

T1 - Bilinear models for scaling and score building: when should they be used?

AU - Francis, Brian

AU - Davies, Elouise

PY - 2019/2

Y1 - 2019/2

N2 - This talk looks at the utility of bilinear models for scorebuilding in contingency tables and contrasts it with thecorrespondence analysis approach. The groundwork for usingbilinear models for score building was laid down byClogg(1982), who specified a set of rules for the instrumentalvariable against which the target variable is classified.Typical bilinear models used for this purpose include the logmultiplicativemodel and the correspondence analysis model.While this approach seems at first sight to be promising,there are issues relating to empty cells and sample sizewhich often mean that the model fails to form exactly asintended. We discuss whether Clogg’s rules needextending and determine whether similar rules are neededfor correspondence analysis. An example is used from theproblem of scaling crime harm and impact from survey data.Clogg, C. (1982) Using Association Models in SociologicalResearch: Some Examples. American Journal of SociologyVol. 88(1) 114-134

AB - This talk looks at the utility of bilinear models for scorebuilding in contingency tables and contrasts it with thecorrespondence analysis approach. The groundwork for usingbilinear models for score building was laid down byClogg(1982), who specified a set of rules for the instrumentalvariable against which the target variable is classified.Typical bilinear models used for this purpose include the logmultiplicativemodel and the correspondence analysis model.While this approach seems at first sight to be promising,there are issues relating to empty cells and sample sizewhich often mean that the model fails to form exactly asintended. We discuss whether Clogg’s rules needextending and determine whether similar rules are neededfor correspondence analysis. An example is used from theproblem of scaling crime harm and impact from survey data.Clogg, C. (1982) Using Association Models in SociologicalResearch: Some Examples. American Journal of SociologyVol. 88(1) 114-134

KW - log-multiplicative models, bilinear models, seriation, criminology, harm

KW - bilinear model

KW - harm

KW - score building

M3 - Abstract

T2 - Correspondence Analysis and Related Methods 2019

Y2 - 4 February 2019 through 6 February 2019

ER -