Computational Model Library

An extended replication of Abelson's and Bernstein's community referendum simulation (2.0.0)

This is an extended replication of Abelson’s and Bernstein’s early computer simulation model of community referendum controversies which was originally published in 1963 and often cited, but seldom analysed in detail. This replication is in NetLogo 6.3.0, accompanied with an ODD+D protocol and class and sequence diagrams.

This replication replaces the original scales for attitude position and interest in the referendum issue which were distributed between 0 and 1 with values that are initialised according to a normal distribution with mean 0 and variance 1 to make simulation results easier compatible with scales derived from empirical data collected in surveys such as the European Value Study which often are derived via factor analysis or principal component analysis from the answers to sets of questions.

Another difference is that this model is not only run for Abelson’s and Bernstein’s ten week referendum campaign but for an arbitrary time in order that one can find out whether the distributions of attitude position and interest in the (still one-dimensional) issue stabilise in the long run.

Release Notes

The model is written in NetLogo 6.3.0. The scale of the “interest-in-the-issue” and the “attitude-position” were changed from a uniform random initialisation between 0 and 1 to a random normal initialisation with mean 0 and variance 1. Some bugs were fixed, and the anonymous procedure feature of NetLogo 6 was applied.

Associated Publications

Formal design methods and the relation between simulation models and theory: A philosophy of science point of view, to appear as a chapter in Rudás, T. & Péli, G. (Eds.) Pathways between Social Science and Computational Social Science: Theories, Methods and Interpretations Springer, 2020

This release is out-of-date. The latest version is 2.1.0

An extended replication of Abelson's and Bernstein's community referendum simulation 2.0.0

This is an extended replication of Abelson’s and Bernstein’s early computer simulation model of community referendum controversies which was originally published in 1963 and often cited, but seldom analysed in detail. This replication is in NetLogo 6.3.0, accompanied with an ODD+D protocol and class and sequence diagrams.

This replication replaces the original scales for attitude position and interest in the referendum issue which were distributed between 0 and 1 with values that are initialised according to a normal distribution with mean 0 and variance 1 to make simulation results easier compatible with scales derived from empirical data collected in surveys such as the European Value Study which often are derived via factor analysis or principal component analysis from the answers to sets of questions.

Another difference is that this model is not only run for Abelson’s and Bernstein’s ten week referendum campaign but for an arbitrary time in order that one can find out whether the distributions of attitude position and interest in the (still one-dimensional) issue stabilise in the long run.

Release Notes

The model is written in NetLogo 6.3.0. The scale of the “interest-in-the-issue” and the “attitude-position” were changed from a uniform random initialisation between 0 and 1 to a random normal initialisation with mean 0 and variance 1. Some bugs were fixed, and the anonymous procedure feature of NetLogo 6 was applied.

Version Submitter First published Last modified Status
2.1.0 Klaus G. Troitzsch Fri Aug 25 10:00:25 2023 Fri Sep 29 00:17:35 2023 Published Peer Reviewed
2.0.0 Klaus G. Troitzsch Thu May 11 08:05:14 2023 Sat Jul 8 04:12:31 2023 Published
1.0.0 Klaus G. Troitzsch Fri Oct 25 12:31:58 2019 Tue Oct 29 16:59:28 2019 Published Peer Reviewed https://doi.org/10.25937/s10g-a461

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept