<h3>Close encounters of the word kind: Attested distributional information boosts statistical learning</h3> This paper has been published in Language Learning: <br> Stärk, K., Kidd, E., & Frost, R. L. A. (2023). Close encounters of the word kind: Attested distributional information boosts statistical learning. *Language Learning, 73*(2), 341-373. https://doi.org/10.1111/lang.12523 *Please find open materials and data below.* --- This project contains four main folders: Materials, Data, Analysis, and Dissemination, described in further detail below. It is further linked to another OSF project, which contains the materials and data of an additional experiment described in the Appendix of the paper (see respective Wiki for more details). --- **(1) Materials** This folder contains two subfolders: Stimuli and Presentation. The *Stimuli* folder contains a README file giving both a short description of the files contained in this folder and a detailed description of the stimuli creation. The folder further contains an Excel file outlining the creation of the stimuli and the randomisations, and five more subfolders. There is one subfolder for each sequence type as well as the practice trials. Each of these subfolders contains .wav files of the 24 sequences per type and the 3 practice trials, respectively. Finally, there is a subfolder containing the files used to create the stimuli (further described in the README file). The *Presentation* folder contains the Presentation scripts in a .zip folder as well as a .pdf file showing the screens presented to participants (for quick access without having to run the experiment). --- **(2) Data** This folder contains a README file shortly describing the files contained in this folder. It also contains an Excel file with the transcriptions of the participants' repetitions, two Excel files with the 10% reliability transcriptions by the assistants (NP and CB), as well as a PDF document with the coding scheme. --- **(3) Analysis** This folder contains a README file shortly describing the files contained in this folder. It also contains an R project in a .zip folder, as well as .html files of the main analyses scripts (for more convenient, quick access): 1. power analysis 2. data preprocessing (coding) 3. data analysis 4. 10% inter-transcriber reliability analysis a. data preprocessing reliability coder 1 (NP) b. data preprocessing reliability coder 2 (CB) c. reliability analysis (KS x NP x CB) --- **(4) Dissemination** This folder will contain a PDF file of the talk we presented on this study.