Affiliation:
1. Faculty of Social and Behavioural Sciences, Utrecht University, 3584 CS Utrecht, The Netherlands
Abstract
The quantity of language input is a relevant predictor of children’s language development and is frequently used as a variable in child bilingualism research. Studies use various methods to measure bilingual language input quantity, but it is currently unknown what the optimal method is. We investigated the bilingual language input estimates of 31 Turkish–Dutch and 21 Polish–Dutch 3- to 5-year-old bilingual children, obtained via the questionnaire for Quantifying Bilingual Experience (Q-BEx) and day-long audio recordings made with Language Environment Analysis (LENA), and proposed a combined method that could overcome several shortcomings of the individual methods. The three methods are compared to each other in their correlation strength with receptive and expressive vocabulary scores. Each individual method correlated significantly with vocabulary scores, regardless of modality or language. Contrary to our hypothesis, the combined method did not correlate stronger with vocabulary outcomes than the Q-BEx and LENA individually did. The latter two did not differ significantly from each other in their correlational strength with vocabulary outcomes. These findings show that both the Q-BEx, LENA, and combined method can be deemed reliable to measure bilingual language input quantity. Future studies can make more informed decisions about their methodology in children’s bilingualism research.
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