Statistics colloquium - general information

We are offering a statistics colloquium for linguists conducting experimental research to provide a platform to analyze and discuss experimental data together. Meetings are on thursdays, 2 p.m., on a semi-regular basis, depending on demand. If you are interested in participating, please write an email to emilia dot ellsiepen at linguist dot jussieu dot fr. This colloquium addresses primarily former participants of the statistics course and linguistis with a background in inferential statistics.


Session 5


Session 4

If you are logged in, you can find rda-files of a sample for both experiments and the r-file.
To read in an rda-file, just click on it, you don't have to use read.file!
To find out what the dataset is actually called, you can use ls().
One of the take home messages this week was probably, that since there might be a lot of different legitimate ways to analyze your data, it is important, that you have clear predictions beforehand!


Session 3

Data and the r-file will be added later.

Today we encountered the problem of "false convergence". Jana found this forum entry on the issue.

The two possible sourced mentioned are

1) the model is too complex for the amount of data

2) complete separation



Session 2, materials and remarks

Today's sample only contains 1 % of the original data.


Session 1, materials and remarks

If you are logged in, you can download a data sample and the r-syntax file from today's session below. Here are some issues that came up today:



While r's default is to use dummy coding, we used effect coding today, which has the advantages that:


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