Statistical associations between antisemitism and higher education: a cross-sectional study of UK-resident adults

Allington, Daniel and Hirsh, David. 2023. Statistical associations between antisemitism and higher education: a cross-sectional study of UK-resident adults. Journal of Contemporary Antisemitism, 6(2), ISSN 2472-9914 [Article] (In Press)

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Scholars have drawn attention to the prevalence of antizionist campaigning on campus, but previous studies have found lower levels of antisemitism among graduates. In this cross-sectional study, levels of antisemitism were measured among members of a large, demographically-representative sample of UK residents (N =1725), using the Generalised Antisemitism (GeAs) scale. Overall scores, as well as scores for the two subscales of this scale (i.e. Judeophobic Antisemitism, JpAs, and Antizionist Antisemitism, AzAs) were measured, with comparisons being made according to educational level (degree-educated vs non-degree educated) and subject area (among degree holders only, classified using the JACS 3.0 principal subject area codes). Degree holders were found to have significantly lower scores than non-degree holders for Generalised Antisemitism and Judeophobic Antisemitism, while scores for Antizionist Antisemitism were effectively identical. Among degree holders, graduates from subjects under the JACS 3.0 umbrella category of Historical and Philosophical Studies exhibited significantly lower scores for Generalised Antisemitism and Judeophobic Antisemitism, and lower scores for Antizionist Antisemitism, although the latter association fell short of significance following application of the Holm-Bonferroni correction for multiple comparisons (unsurprisingly, given the large number of hypotheses and the small absolute number of respondents in this category, N = 65). Exploratory analysis of the dataset suggests possible further negative associations with antisemitism for graduates of Economics, Psychology, and Counselling, which may have been concealed by the system of categories employed. These associations may have intuitive theoretical explanations. However, further research will be necessary to test whether they are statistically robust. The article concludes with a discussion of possible theoretical explanations for observed patterns, and some suggestions for further research.

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12 September 2023Accepted

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Date Deposited:

14 Sep 2023 11:29

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14 Sep 2023 19:04

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Yes, this version has been peer-reviewed.


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