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We study the extent to which a q-factor approach explains other cross-sectional factor returns in the Thai market from 2000 to 2019. Univariate statistics of the q-factor premia show that the Thai factors have almost double the statistical and economic significance compared to US factors. While the q-factor model and the Fama-French six-factor model have similar performances in the US, they do not in Thailand. We find that the q-factor model reduces the t-statistics of the alphas for 13 out of 15 anomalies when compared to the six-factor model. Our findings suggest that the q-factor model is a better empirical asset pricing model in Thailand, showing external validity of the model even in an emerging market.