This cross-sectional study addresses for the first time the non/linear association between individual learner differences of social, proficiency-related, and socioaffective nature (length of residence [LoR], varietal proficiency, exposure, and socioaffect) and differential outcomes in L2 sociolinguistic repertoires against the backdrop of the Austro-Bavarian naturalistic context. Forty adult migrant L2 German learners participated in a virtual reality experiment involving interactions with dialect-speaking and standard German-speaking interlocutors. The goal was to explore differences in participants’ interpersonal varietal behavior, that is, their addressee-relational variable use of standard German, Austro-Bavarian dialect, and mixture varieties. The results of Bayesian multinomial modeling indicated that LoR, dialect exposure, and proficiency, as well as reduced anxiety when speaking dialect, predicted differences in interpersonal varietal behavior. That said, a visual-quantitative analysis revealed critical thresholds concerning when, within these predictors, changes in sociolinguistic behavior manifested, indicating a rapid change in sociolinguistic development at the inter-individual level and ultimately facilitating initial insights as to how advanced one needs to be in order to engage in sociolinguistic variation in the Austro-Bavarian naturalistic context.

中文翻译：

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捕捉阈值和连续性：个体差异作为奥地利成年移民学习者第二语言社会语言能力的预测因素

这项横断面研究首次解决了个体学习者在社交、熟练程度相关和社会情感性质（居住时间[LoR]、品种熟练程度、接触和社会情感）方面的差异与第二语言的差异结果之间的非线性/线性关联奥地利-巴伐利亚自然主义背景下的社会语言学曲目。四十名成年移民二语德语学习者参加了一项虚拟现实实验，其中涉及与讲方言和标准德语对话者的互动。目标是探索参与者人际多样性行为的差异，即他们对标准德语、奥地利-巴伐利亚方言和混合方言的收件人关系变量的使用。贝叶斯多项式模型的结果表明，LoR、方言暴露和熟练程度，以及说方言时焦虑的减少，预测了人际行为的差异。也就是说，视觉定量分析揭示了关于这些预测因素中社会语言行为变化何时显现的关键阈值，表明个体间社会语言发展的快速变化，并最终促进对一个人需要达到多先进的初步见解为了在奥地利-巴伐利亚自然主义背景下进行社会语言学变异。