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https://github.com/tjmahr/lookr

Scripts for looking-while-listening and visual-world eyetracking experiments
https://github.com/tjmahr/lookr

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Scripts for looking-while-listening and visual-world eyetracking experiments

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lookr
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`lookr` provided a set of tools for analyzing looking-while-listening eye-tracking experiments performed by the [Learning to Talk](http://learningtotalk.org/) project (2010–2016).

### References

Helpful references on analyzing looking-while-listening or visual world eyetracking experiments are listed below.

* Barr, D. J. (2008). __Analyzing "visual world" eyetracking data using multilevel logistic regression__. _Journal of Memory and Language_, _59_(4), 457–474. `doi:10.1016/j.jml.2007.09.002`

* Mirman, D. (2014). **_Growth Curve Analysis and Visualization Using R_**. Florida, USA: Chapman & Hall/CRC.

### See Also

Here are some eyetracking references that I've bookmarked or starred over the years.

* [Dan Mirman's growth curve analysis guide](http://www.danmirman.org/gca)
* [Code for my 2015 Cognition article](https://github.com/tjmahr/2015_Coartic) where I conduct a Mirman-style growth curve analysis.
* [Brock Ferguson's workshop on GCA](https://github.com/brockf/tutorial-GCA-R)
* [Dale Barr's demo of using empirical logits](http://talklab.psy.gla.ac.uk/tvw/elogit-wt.html)
* [`eyetrackingR`](http://www.eyetracking-r.com/)
* [`saccades`](https://github.com/tmalsburg/saccades)
* [`gazetools`](https://github.com/RyanHope/gazetools)
* [`bdots`](https://cran.rstudio.org/web/packages/bdots/index.html) and
[the article describing the method](http://smm.sagepub.com/content/early/2015/09/22/0962280215607411.full)