SR Research Forum
The Eyelink system, developed by SR Research, is a fast, accurate and reliable system that we have use in our research on reading and visual processing. The SR Research forum provides excellent and helpful resources, including video tutorials, webinars, discussions related to programming the Eyelink systems, examples of programs, etc.
Visual Angle Calculator
SR Research has developed a very useful interactive webpage to calculate visual angle. It is a perfect tool for figuring out the distance between the eye and the screen, as well as the size of stimuli in an eye-tracking experiment.
Psychwire Eye-tracking Wiki
This is an excellent website for learning Eye-tracking systems systematically and practically. It teaches you how to set up an eye tracking experiment, how to program using Experiment Builder and how to analyse data using Data Viewer.
Statistical Computing: R
R is a programming language and is free software for statistical computing. More and more people in the psychology community are using R to conduct their data analyses. With R we can do calculations, undertake statistical analyses, create graphs, and even write our own functions.
popEye: Analysis of eye-tracking data from reading experiments
Dr Sascha Schroeder at the Max Planck Institute for Human Development, has developed an integrated environment - popEye for analysing eye-tracking data from reading experiments. The unique feature of this system is that we can use it for analysing data obtained using different experimental paradigms, such as single sentence reading, boundary paradigm, fast priming paradigm, text reading, and with different eye tracking devices (SR research, tobii, etc.) and with different software packages (EyeTrack, Experiment Builder, etc.), all within the same workflow.
Hayward Godwin at the University of Southampton recently released a R package that can help to organise and analyse eye-tracking data. It can deal with output directly from SR Research Eyelink eye trackers. It can be downloaded from CRAN, and there's also a guide linked below. Go and fixate upon it!
Power analyses, Bayes analyses and effect sizes
Brysbaert, M., & Stevens, M. (2018). Power analysis and effect size in mixed effects models: A Tutorial. Journal of Cognition, 1(1): 9, 1–20.
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4:863.
Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational ideas – Part II. Language and Linguistics Compass, 10, 591-613.
Stan Development Team (2016). rstanarm: Bayesian applied regression modeling via Stan. R package version 2.13.1. http://mc-stan.org/.
Wagenmakers, E-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method. Cognitive Psychology, 60(3), 158-189.
Westfall, J. (2015). PANGEA: Power ANalysis for GEneral Anova designs. Unpublished manuscript. Available at http://jakewestfall. org/publications/pangea. pdf.
Westfall, J., Kenny, D., & Judd, C. (2014). Statistical Power and Optimal Design in Experiments in Which Samples of Participants Respond to Samples of Stimuli. Journal of experimental psychology. General. 143. 10.1037/xge0000014.