**Repository for:** Foushee, R., Regan, S., Baharloo, R., & Srinivasan, M. (2024). Sociolinguistic development in a diverse, multilinguistic environment: Evidence from multilingual children in Gujarat, India. *Cognitive Development, 72*, 101504. https://doi.org/10.1016/j.cogdev.2024.101504 [[**open access**]][1] Method ------ ![Overview of study blocks][2] Files ----- - [Supplemental Information][3], including further information on participants, sample size justification, and plots, tables, and model summaries for analyses referred to in the main text. End of document includes the Likert-style questions included in the Language Essentialism block, but not analyzed in the main text. Analysis -------- R analysis files in GitHub repo https://github.com/foushee/india-socioling (linked in [Analysis component][5]) are in sequentially numbered folders: ### Preprocessing and demographics - **0_preprocessing** (included for documentation but unnecessary to run): individual .R files provide a record of data cleaning and restructuring dataframes for analyses by task type - **1_child-languages**: .Rmd containing descriptive analyses of children's open-ended responses on language background questionnaire, and .tex for Table 1 (languages spoken by >1 child in sample) ### Response data by question block - **2_speaker-associations**: analyses of speaker associations block, included .Rmds for each dimension: geographic origin, religion, and wealth - **3_face-selections**: analyses of speaker selection block responses, by and across modalities ('audio' vs. 'label') - **4_learning**: analyses of predicted-learning questions from the linguistic essentialism block - **5_identification**: analyses of language identification block accuracy *Analysis folders **2-5** contain subfolders for standardized plots of different forms and formats, and tables reporting descriptive statistics ('means' subfolders) and model summaries ('model' subfolders):* ![enter image description here][6] *Plots in 'finalized' subfolders were initially written to .svg, and then edited minutely in Adobe Illustrator (e.g., to use small caps for modality and facial category labels).* ### Manuscript and SI - **6_ms**: .tex files and figures for preprint and supplemental information [1]: https://doi.org/10.1016/j.cogdev.2024.101504 [2]: https://files.osf.io/v1/resources/xa6h3/providers/osfstorage/6849bab72ea703dc8e85b1cc?mode=render [3]: https://osf.io/xa6h3/files/osfstorage/66f88dc53325438f093cc321 [4]: https://files.osf.io/v1/resources/xa6h3/providers/osfstorage/6849d1d20296f88b9da4d9c6?mode=render [5]: https://osf.io/h798u/ [6]: https://files.osf.io/v1/resources/xa6h3/providers/osfstorage/6849cb0abd70fdd798d6a375?mode=render