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Latent class approaches for modelling multiple ordinal items

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Latent class approaches for modelling multiple ordinal items. / Francis, Brian.
ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018 . ed. / Stefania Capecchi; Francesca Di Iorio; Rosaria Simone. Napoli: FedOAPress, 2018. p. 3-13 2.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Francis, B 2018, Latent class approaches for modelling multiple ordinal items. in S Capecchi, F Di Iorio & R Simone (eds), ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018 ., 2, FedOAPress, Napoli, pp. 3-13. https://doi.org/10.6093/978-88-6887-042-3

APA

Francis, B. (2018). Latent class approaches for modelling multiple ordinal items. In S. Capecchi, F. Di Iorio, & R. Simone (Eds.), ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018 (pp. 3-13). Article 2 FedOAPress. https://doi.org/10.6093/978-88-6887-042-3

Vancouver

Francis B. Latent class approaches for modelling multiple ordinal items. In Capecchi S, Di Iorio F, Simone R, editors, ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018 . Napoli: FedOAPress. 2018. p. 3-13. 2 doi: 10.6093/978-88-6887-042-3

Author

Francis, Brian. / Latent class approaches for modelling multiple ordinal items. ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018 . editor / Stefania Capecchi ; Francesca Di Iorio ; Rosaria Simone. Napoli : FedOAPress, 2018. pp. 3-13

Bibtex

@inbook{f44c1fc898554cf2933f8a572105b494,
title = "Latent class approaches for modelling multiple ordinal items",
abstract = "The modelling of the latent class structure of multiple Likert items is reviewd.The standard latent class approach is to model the absolute Likert ratings. Commonly, an ordinal latent class model is used where the logits of the profile probabilities for each item have an adjacent category formulation (DeSantis et al., 2008). an alternative developed in this paper is to model the relative orderings, using a mixture model of the relative differences between pairs of Likert items. This produces a paired comparison adjacent category log-linear model (Dittrich et al., 2007; Francis and Dittrich, 2017), with item estimates placed on a (0,1) “worth” scale for each latent class. The two approaches are compared using dataon environmental risk from the International Social Survey Programme, and conclusions are presented.",
keywords = ": Multiple likert items,, Ordinal latent class model, Paired comparisons",
author = "Brian Francis",
year = "2018",
month = nov,
day = "11",
doi = "10.6093/978-88-6887-042-3",
language = "English",
isbn = "9788868870423 ",
pages = "3--13",
editor = "Capecchi, { Stefania } and {Di Iorio}, {Francesca } and Simone, {Rosaria }",
booktitle = "ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018",
publisher = "FedOAPress",

}

RIS

TY - CHAP

T1 - Latent class approaches for modelling multiple ordinal items

AU - Francis, Brian

PY - 2018/11/11

Y1 - 2018/11/11

N2 - The modelling of the latent class structure of multiple Likert items is reviewd.The standard latent class approach is to model the absolute Likert ratings. Commonly, an ordinal latent class model is used where the logits of the profile probabilities for each item have an adjacent category formulation (DeSantis et al., 2008). an alternative developed in this paper is to model the relative orderings, using a mixture model of the relative differences between pairs of Likert items. This produces a paired comparison adjacent category log-linear model (Dittrich et al., 2007; Francis and Dittrich, 2017), with item estimates placed on a (0,1) “worth” scale for each latent class. The two approaches are compared using dataon environmental risk from the International Social Survey Programme, and conclusions are presented.

AB - The modelling of the latent class structure of multiple Likert items is reviewd.The standard latent class approach is to model the absolute Likert ratings. Commonly, an ordinal latent class model is used where the logits of the profile probabilities for each item have an adjacent category formulation (DeSantis et al., 2008). an alternative developed in this paper is to model the relative orderings, using a mixture model of the relative differences between pairs of Likert items. This produces a paired comparison adjacent category log-linear model (Dittrich et al., 2007; Francis and Dittrich, 2017), with item estimates placed on a (0,1) “worth” scale for each latent class. The two approaches are compared using dataon environmental risk from the International Social Survey Programme, and conclusions are presented.

KW - : Multiple likert items,

KW - Ordinal latent class model

KW - Paired comparisons

U2 - 10.6093/978-88-6887-042-3

DO - 10.6093/978-88-6887-042-3

M3 - Chapter (peer-reviewed)

SN - 9788868870423

SP - 3

EP - 13

BT - ASMOD 2018 : Proceedings of the Advanced Statistical Modelling for Ordinal Data Conference : Naples, 24-26 October 2018

A2 - Capecchi, Stefania

A2 - Di Iorio, Francesca

A2 - Simone, Rosaria

PB - FedOAPress

CY - Napoli

ER -