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Cited by 310

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

The Measurement of Core Beliefs and Values: The Development of Balanced Socialist/Laissez Faire and Libertarian/Authoritarian Scales

Heath, Anthony, Evans, Geoffrey, Martin, Jean·1994·British Journal of Political Science

Abstract

It has become clear from national surveys, both in Britain and elsewhere, that the attitudes of the mass public towards social and political issues tend to group together in broadly predictable ways. Analyses of British Election Study data have consistently found that attitudes towards economic issues such as nationalization, income redistribution and government intervention go together and are largely unrelated to attitudes towards moral issues. There are of course variations in the results, depending on the items included for analysis, but it has become apparent that a rather persistent attitudinal structure, at least at the aggregate level, has characterized the British electorate. Similar findings have been reported for the United States.

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Metadata

Authors
Heath, A., Evans, G., & Martin, J.
Venue
British Journal of Political Science
Published
1994-01
Volume
24
Issue
1
Pages
115-132
ISSN
  • 0007-1234 (ISSN-L)
  • 1469-2112
OpenAlex
W1978227816
Cited by
310
References
24
FWCI
44.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Measurement of Core Beliefs and Values: The Development of Balanced Socialist/Laissez Faire and Libertarian/Authoritarian Scales. https://app.cochat.ai/papers/10.1017/s0007123400006815
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Heath, A., Evans, G., & Martin, J. (1994). The Measurement of Core Beliefs and Values: The Development of Balanced Socialist/Laissez Faire and Libertarian/Authoritarian Scales. British Journal of Political Science. https://doi.org/10.1017/s0007123400006815

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.