Fundamental Questions in Cross-Cultural Psychology 2011
DOI: 10.1017/cbo9780511974090.011
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Bias and real differences in cross-cultural differences: neither friends nor foes

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Cited by 9 publications
(3 citation statements)
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“…They did not ‘idealize’ measures that show little variation between groups, as suggested by Welzel et al (2021, p. 15). In fact, van de Vijver (2011) emphasized that bias (i.e., lack of equivalence) and valid differences should not be seen as antithetical but as complementary sources of observed cross-cultural differences in measured scores. Van de Vijver mentioned a study by Fontaine et al (2008) that demonstrated a good average representation of the Schwartz value theory across samples, but at the same time showed a pattern of systematic deviations from this structure.…”
Section: Previous Research On Bias In Scores On Psychometric Tests An...mentioning
confidence: 99%
“…They did not ‘idealize’ measures that show little variation between groups, as suggested by Welzel et al (2021, p. 15). In fact, van de Vijver (2011) emphasized that bias (i.e., lack of equivalence) and valid differences should not be seen as antithetical but as complementary sources of observed cross-cultural differences in measured scores. Van de Vijver mentioned a study by Fontaine et al (2008) that demonstrated a good average representation of the Schwartz value theory across samples, but at the same time showed a pattern of systematic deviations from this structure.…”
Section: Previous Research On Bias In Scores On Psychometric Tests An...mentioning
confidence: 99%
“…In a recent chapter Van de Vijver et al (2011) formulated four such questions: In a recent chapter Van de Vijver et al (2011) formulated four such questions:…”
Section: Future Outlookmentioning
confidence: 99%
“…This effort is rarely (if ever) reported, and papers often focus exclusively on the quantitative (and a posteriori) aspects of adapting the test, for instance, by establishing measurement invariance in SEM. However, robust reports on the cultural comparability of various forms of the same test should be inspired by both a priori (usually judgment-driven) and a posteriori (usually data-driven) methods (van de Vijver, 2011). A priori procedures are applied to prevent the appearance of bias.…”
mentioning
confidence: 99%