Periodic Reporting for period 1 - INPUT (Investigating Proxies for Understanding Trajectories: Heritage Language Maintenance and Child Second Language Acquisition in Refugee Contexts)
Reporting period: 2021-03-01 to 2023-02-28
INPUT investigates the following research questions:
RQ1. To what extent do experiential variables and HL support affect HL trajectories and outcomes?
RQ2. To what extent does HL support affect cL2 development?
The following hypotheses are tested: (i) there is an inverse relationship between cL2 growth and continued growth in the HL (ii) the general trend in (i) can be attenuated by increased exposure, use and support for the HL, and (iii) heritage speakers who receive formal training in their HL will have a sharper growth trajectory.
The following four experiments are used in order to measure HL and cL2 development: (i) Peabody Picture Vocabulary Test (PPVT) for density of vocabulary, (ii) an elicitation task on grammatical gender in Syrian-Arabic and German to investigate gender behavior (production/comprehension), (iii) an eye-tracking experiment on grammatical gender to test comprehension and subsequent use of gender for predictive processing, and (iv) the Quantifying Bilingual Experience Questionnaire (Q-BEx) to collect information on experiential variables pertaining to Syrian- Arabic and German exposure and use which are used as regressors in the modelling of the results from experiments (i-iii).
The participants are 6-to 12-year-old Syrian Arabic-German heritage bilinguals (n=85). The findings of the eye-tracking experiment suggest that on the group level the heritage speaker children do not use gender cues predictively in Syrian Arabic and German. However, on the individual-level we find a variation showing that individual children use gender cues predictively in Syrian Arabic, German, none or both of the languages depending on various variables including HL support, exposure to and use of Syrian Arabic and German. We are currently analyzing the individual results to identify experiential variables predicting trajectories, e.g. HL support, exposure, use. Furthermore, we are currently analyzing the elicited task and vocabulary task data.