Guilty as charged? Reassessing the problem of single-country samples in cultural distance studies

Bibliographic Data

ID21410345
AuthorsMyung Suk Kim (Sogang University), Khan-Pyo Lee (Sogang University, corresponding author)
Year2026
Publication date2026-03-11
Open AccessYes
TypeARTICLE
VenueJournal of International Business Studies (JOURNAL)
Journal identifiersISSN: 0047-2506 • E-ISSN: 1478-6990
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41267-026-00840-3
OpenAlexW7134934166
LanguageEN
References cited22

Concerns have been raised about the use of single host- or home-country samples in analyzing the effects of cultural distance (CD). That is, the estimated effects of CD may be confounded with those of the underlying cultural dimensions or other contextual factors correlated with CD. This study reassesses the risk of confounding when using single-country samples through simulation analyses conducted under various conditions, including different sample sizes and structures, within- and between-country variances, and analysis methods. The results indicate that when other cultural or contextual variables related to the outcome are also included and multilevel modeling is applied, the risk of confounding is not significant across diverse settings. The problem of confounding becomes significant only when using ordinary least squares, which does not take into account the potential nonindependence of observations in hierarchical data. However, in multilevel analyses using single-country samples, statistical power may become insufficient when controlling for cultural variables correlated with CD, particularly when the effect size of CD is small. To address this issue, we present a statistical technique that researchers can use to identify potential confounders and provide guidelines on the sample size required to maintain adequate power

Confounding · Hofstede's cultural dimensions theory · Multilevel model · Multilevel modelling · Sample (material) · Sample size determination · Statistical power · Variables · Categorization, perception, and language · Cultural Differences and Values · Culture, Economy, and Development Studies

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