Abstract
In this study we examine the cross-cultural equivalence of two scales that measure attitudes toward democracy across 36 countries in the World Value Survey (WVS) 2000. We examine the equivalence of these scales in order to explore if we can meaningfully compare democratic attitudes across countries. Multiple group confirmatory factor analyses (MGCFA) is applied to answer this question. The analyses indicate that the scales may be compared but only to a certain extent and not across all the countries. We close this article by discussing the implications of the findings.
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Notes
The two scale items include rating of the importance of having a democratic system and whether it is better than any other form of government (WVS 1995–1997).
The scale was based on a respondent’s quality assessment (good vs. bad) of the political system as it was in [reference to previous regime], as it is today, and as it is expected to be tomorrow? (WVS 1995–1997).
For further details, check the website of the World Values Survey Association. http://www.worldvaluessurvey.org/.
Several studies have used multiple group CFA (MGCFA) to assess measurement invariance of scales in such cross-national surveys as the European Social Survey (ESS) and the International Social Survey Program (ISSP) (e.g., for human values, Davidov 2008; Davidov et al. 2008; for national identity, Davidov 2009; for trust, Reeskens and Hooghe 2008).
In the current analyses, we firstly ran the models using pairwise deletion to deal with the problem of missing values (Schafer and Graham 2002). As a final test, we have also analyzed the models using the Full Information Maximum Likelihood (FIML) procedure which is preferred when portions larger than 5% of the data are missing (Schafer and Graham 2002).
Brown (2006) suggests that standardized factor loadings lower than 0.3–0.4 should indicate that the question is inadequate to measure the latent construct.
Although scholars have argued that MGCFA may be an inappropriate tool for testing for invariance of Likert scales (see, e.g., Lubke and Muthén 2004), studies have demonstrated that it works well even when data are not continuous or normally distributed but ordinal (De Beuckelaer 2005; Welkenhuysen-Gybels and Billiet 2002; Welkenhuysen-Gybels 2004).
Model outputs, factor loadings and global fit measures may be available from the first author upon request.
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Ariely, G., Davidov, E. Can we Rate Public Support for Democracy in a Comparable Way? Cross-National Equivalence of Democratic Attitudes in the World Value Survey. Soc Indic Res 104, 271–286 (2011). https://doi.org/10.1007/s11205-010-9693-5
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DOI: https://doi.org/10.1007/s11205-010-9693-5