Modelling attitudes to climate change: An order effect and a test between alternatives

Kirsty Kitto, Luke Sonnenburg, Fabio Boschetti, Iain Walker

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

Quantum-like models can be fruitfully used to model attitude change in a social context. Next steps require data, and higher dimensional models. Here, we discuss an exploratory study that demonstrates an order effect when three question sets about Climate Beliefs, Political Affiliation and Attitudes Towards Science are presented in different orders within a larger study of n = 533 subjects. A quantum-like model seems possible, and we propose a new experiment which could be used to test between three possible models for this scenario.

Original languageEnglish
Title of host publicationQuantum Interaction
Subtitle of host publication8th International Conference, QI 2014, Revised Selected Papers
EditorsH. Atmanspacher, C. Bergomi, T. Filk, K. Kitto
Place of PublicationCham, Switzerland
PublisherSpringer
Pages119-131
Number of pages13
Volume8951
ISBN (Electronic)9783319159317
ISBN (Print)9783319159300
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event8th International Conference on Quantum Interaction, QI 2014 - Filzbach, Filzbach, Switzerland
Duration: 30 Jun 20143 Jul 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8951
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference8th International Conference on Quantum Interaction, QI 2014
Abbreviated titleQI 2014
CountrySwitzerland
CityFilzbach
Period30/06/143/07/14

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  • Cite this

    Kitto, K., Sonnenburg, L., Boschetti, F., & Walker, I. (2015). Modelling attitudes to climate change: An order effect and a test between alternatives. In H. Atmanspacher, C. Bergomi, T. Filk, & K. Kitto (Eds.), Quantum Interaction: 8th International Conference, QI 2014, Revised Selected Papers (Vol. 8951, pp. 119-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8951). Springer. https://doi.org/10.1007/978-3-319-15931-7_10