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Using Agent Based Modelling to Integrate Data on Attitude Change

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journal contribution
posted on 31.07.2020, 14:50 by Edmund Chattoe-Brown
This article has two goals. Firstly, it shows how a relatively novel technique (Agent Based Modelling, hereafter ABM) can integrate different data types that are often used only in separate strands of research (interviews, experiments and surveys). It does this by comparing a well-known ABM of attitude dynamics with an alternative model using data from surveys and experiments. Secondly, the article explains ABM methodology and why it is important to the distinctiveness of ABM as a research method. In particular, the ramifications of differing approaches to ABM calibration and validation are discussed using the two different ABM as examples. The article concludes by showing how ABM might provide a progressive research strategy for integrating different data types and thus different disciplines in attitude research. © Sociological Research Online.

History

Citation

Sociological Research Online, 19 (1), pp 159-174

Author affiliation

School of Media, Communication and Sociology.

Version

AM (Accepted Manuscript)

Published in

Sociological Research Online

Volume

19

Issue

1

Pagination

159-174

Publisher

SAGE Publications

issn

1360-7804

eissn

1360-7804

Acceptance date

22/01/2014

Copyright date

2014

Language

English

Publisher version

https://journals.sagepub.com/doi/full/10.5153/sro.3315

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