Experimental Linguistics Module – Autumn 2011

Tuesday 2-4pm, Bancroft Building room 102.6

  • Module Description

    The goal of this module is to take students with no prior training in the methods or tools of experimental psychological science and provide them with the theoretical and practical training required to be able to critically engage with the Psycholinguistics literature and to undertake experimental linguistics research themselves. The module will include hands-on training in inferential statistics and hypothesis testing, experimental design, data collection (including training in ethical human subjects research protocols), and data analysis. The module will also engage students in considering strengths and limitations of various kinds of linguistics data, and how multiple sources of data and methods of data collection can be combined to enhance understanding. Students will develop their critical reading skills and gain practice in presenting primary source literature to their peers.

week 12: wrap up slides

Posted by Linnaea on December 13, 2011

Due to a lingering illness, the last two weeks of the semester have been rather less full of data analysis and progress than I had hoped. The disappointing news is that due to my basically being entirely out of commission for a week, students won’t have an opportunity to analyse their own data. Everyone will have to content themselves with reporting the results of the aggregate analysis. But perhaps this comes as a relief to some students, who might feel like they’ve already spent as much time with excel as they ever want to spend.

Today’s class was very short (I still can’t really speak), and mainly consisted of my going through the requirements for the final assignment. As promised, I’ve uploaded the slides that accompanied this exciting ‘lecture’.

Within a day or two, I’ll also upload the summary statistics on the participant data, and the summary statistics for the data analysis. These will be in the format of tables that can be imported into excel or numbers or pasted into online data visualisation tools like IBM’s many eyes tool. Student’s will have to decide how best to visually represent the results through a combination of tables and graphs.

Thanks to everyone for a great semester – I really enjoyed working with you all on this project.

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