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Volumn 41, Issue 2, 2007, Pages 177-196

Are cross-national surveys the best way to study the extreme-right vote in Europe?

Author keywords

Cross cultural validity; European social survey; Extreme right parties; Survey research; Voting behaviour

Indexed keywords


EID: 34047142335     PISSN: 0031322X     EISSN: 14617331     Source Type: Journal    
DOI: 10.1080/00313220701265544     Document Type: Article
Times cited : (22)

References (39)
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    • Examples include Knigge, 'The ecological correlates of right-wing extremism in Western Europe'; van der Brug, Fennema and Tillie, 'Anti-immigrant parties in Europe'; Wouter van der Brug and Meindert Fennema, 'Protest or mainstream? How the European anti-immigrant parties developed into two separate groups by 1999
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    • Examples include Knigge, 'The ecological correlates of right-wing extremism in Western Europe'; van der Brug, Fennema and Tillie, 'Anti-immigrant parties in Europe'; Wouter van der Brug and Meindert Fennema, 'Protest or mainstream? How the European anti-immigrant parties developed into two separate groups by 1999', European Journal of Political Research, vol. 42, no. 1, January 2003, 55-76;
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    • Ibid., 374n5.
    • Ibid., 374n5.
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    • It should be noted that Lubbers, Gijsberts and Scheepers use various data sources to perform their analysis, Extreme right voting in Western Europe, 354, Using survey data from various institutes and sources with differing data collection routines, however, is usually a risky business. Therefore, we decided to limit this test to one high-quality data source, namely the European Social Survey. We used both the 2002 and the 2004 rounds of the ESS. These data can be obtained from Norwegian Social Science Data Services (NSD, European Social Survey Data Bergen: NSD 2003, they are available online at, viewed 9 January 2007
    • It should be noted that Lubbers, Gijsberts and Scheepers use various data sources to perform their analysis ('Extreme right voting in Western Europe', 354). Using survey data from various institutes and sources with differing data collection routines, however, is usually a risky business. Therefore, we decided to limit this test to one high-quality data source, namely the European Social Survey. We used both the 2002 and the 2004 rounds of the ESS. These data can be obtained from Norwegian Social Science Data Services (NSD), European Social Survey Data (Bergen: NSD 2003); they are available online at http://ess.nsd.uib.no (viewed 9 January 2007).
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    • It should be noted here that the name of the party was being requested, not whether the respondent had voted for an 'extreme-right party, This implies that a conceptual bias, which might be another cause of inequivalence, is not a problem here
    • It should be noted here that the name of the party was being requested, not whether the respondent had voted for an 'extreme-right party'. This implies that a conceptual bias, which might be another cause of inequivalence, is not a problem here.
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    • The latter are taken from the Electionworld database
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    • Because some of our independent variables are related to party characteristics, the parties themselves function as units of measurements, and not the combined percentage of extreme-right votes in a country. For example, in Italy the dynamics of under-representation might be totally different for the AN than for the MSFT. We also investigated whether it was possible to use other survey sources to boost the number of observations. While this is theoretically possible, it would add the complications involved in comparing surveys timing, procedures, ways of reporting responses, wording of questions etc, which would actually make it more difficult to test the occurrence of response and measurement bias in a strict and reliable manner
    • Because some of our independent variables are related to party characteristics, the parties themselves function as units of measurements, and not the combined percentage of extreme-right votes in a country. For example, in Italy the dynamics of under-representation might be totally different for the AN than for the MSFT. We also investigated whether it was possible to use other survey sources to boost the number of observations. While this is theoretically possible, it would add the complications involved in comparing surveys (timing, procedures, ways of reporting responses, wording of questions etc.), which would actually make it more difficult to test the occurrence of response and measurement bias in a strict and reliable manner.
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    • For the extremely small parties (those receiving less than 2 per cent) it could be argued that it makes little sense to try to capture their electorate in a general population survey. The pattern of under-representation, however, remains exactly the same if we limit ourselves to the larger extreme-right parties, i.e. those receiving more than 2 per cent of the vote. In separate analyses (available from the authors) we also used the square values or the log values of the party results, but this did not lead to substantially different results.
    • For the extremely small parties (those receiving less than 2 per cent) it could be argued that it makes little sense to try to capture their electorate in a general population survey. The pattern of under-representation, however, remains exactly the same if we limit ourselves to the larger extreme-right parties, i.e. those receiving more than 2 per cent of the vote. In separate analyses (available from the authors) we also used the square values or the log values of the party results, but this did not lead to substantially different results.
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    • The underestimation is statistically significant: χ2, 111.352; df, 28; p < 0.0001
    • 2 = 111.352; df = 28; p < 0.0001.
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    • To avoid the problem of the limited number of cases, we also conducted a multilevel analysis, using simultaneously information about individual respondents and country-level characteristics as independent variables not reported here for lack of space, available from the authors, This multilevel model also confirms the notion that both response and measurement bias are clearly present
    • To avoid the problem of the limited number of cases, we also conducted a multilevel analysis, using simultaneously information about individual respondents and country-level characteristics as independent variables (not reported here for lack of space, available from the authors). This multilevel model also confirms the notion that both response and measurement bias are clearly present.


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