Methodological Gap in Quantitative Analysis of Cross-Cultural Research Data
Pan Wei, Haiyan Bai
Abstract
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Demystifying the academic achievement gap between Asian American students and students of other groups has been an increasingly appealing topic in the literature on “model minority.” However, previous quantitative analysis of cross-cultural research data are plagued by methodological problems such as use of invalid instruments, inappropriate significance levels, unrepresentative samples, and outdated databases. The present study provides updated quantitative evidence in explaining the academic achievement gap between Asian
American students and students of other groups by conducting a multivariate analysis of variance and covariance on achievement test scores in mathematics and reading, using a cross-validated random sample drawn from an up-to-date national representative database.
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