A summary of this study was published in the Proceedings of the *Phonetics Teaching and Learning Conference*, UCL, London, 8-10 August 2013. It can be accessed at https://fis.uni-bamberg.de/bitstream/uniba/2422/2/fisba2422.pdf) - Sönning, Lukas. 2013. Scrabble yourself to success: Methods in teaching transcription. In Joanna Przedlacka, John Maidment & Michael Ashby (eds.), *Proceedings of the Phonetics Teaching and Learning Conference*, UCL, London, 8-10 August 2013. London: Phonetics Teaching and Learning Conference, 87-90. The abstract to this paper gives a **concise summary of the findings**: - *This paper summarizes the results of a study that tested and evaluated two methods for teaching phonemic transcription to German EFL students at university level. The research design included a control group and two training groups receiving treatment with different methods: one based on the transcription of auditive stimuli, the other based on a phonemic adaption of the board game Scrabble®. The different training methods had significant effects on the improvement of transcription skills. A comparison of the training groups did not yield significant differences – the descriptive statistics, however, suggest that phoneme scrabble cannot be recommended as a uniform teaching method.* The study is based on a 2011 degree thesis (Zulassungsarbeit) in English linguistics at the University of Bamberg. A PDF of the submitted version of this thesis is included in this OSF project (https://osf.io/w4quk) - Sönning, Lukas. 2011. *Methods in teaching phonemic transcription: An experimental study.* Degree thesis (Zulassungsarbeit), University of Bamberg. The **data** accompanying this study have been published on TROLLing (Tromsø Repository of Language and Linguistics): - Sönning, Lukas. 2022. Dataset for “Scrabble yourself to success: Methods in teaching transcription”, https://doi.org/10.18710/2UJHHU, DataverseNO, V1. **R code** for reproducing the results reported in Sönning (2011, 2013) is included in the folder "R code: Statistical analyses", both as an RMarkdown script (https://osf.io/tdz3u) and as an html file (https://osf.io/43rq7).