In order to further discriminate between the one-pattern hypothesis and the two-pattern hypothesis, the interaction effect of language and linguistic status is crucial. Both datasets show a significant interaction F(2, 6079) = 25.75; p < 0.0001 and F(2, 7349) = 17.98; p < 0.0001 for, respectively, the original and the replication data. In order to further evaluate the interaction effect, additional contrasts were calculated. The language effect was evaluated for two levels of linguistic status (both monolingual versus both bilingual), the level monolingual-bilingual being discarded since we are not interested in this level. The main effect of language demonstrated a higher correlation within languages versus between languages. This applies both for monolinguals and bilinguals. For monolinguals, the correlation between monolinguals speaking the same language is significantly larger than the correlation between monolinguals speaking a different language with, respectively, F(1, 6079) = 364.70; p < 0.0001 and F(1, 7349) = 272.743, p < 0.0001 for the original and the replication study. For bilinguals, the correlation between two bilinguals in the same language is larger than the correlation for two bilinguals in a different language with, respectively, F(1, 6079) = 59.43; p < 0.0001 and F(1, 7349) = 65.83; p < 0.0001, for the original and the replication study. In order to confirm the moderate version of the one-pattern hypothesis, the language effect for monolinguals was contrasted with the language effect for bilinguals. This comparison proves to be significant for both studies with, respectively, F(1, 6079) = 36.34 and F(1, 7349) = 31.08; p < 0.0001 for the original and the replication study, indicating that the language effect for monolinguals is significantly larger than the language effect for bilinguals. The latter finding is consistent with the moderate version of the one-pattern hypothesis.