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  • About LingLab
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LingLab distinguishes between three types of experiments:

LingLab receives a limited annual budget from the Dean's Office of the Faculty of Humanities. From this budget, we primarily support scientists who need test subjects for their experiments, who are rarely found at the University of Graz, e.g. due to the required native language. Full funding of experiments is possible.

LingLab strives to support participation in experiments from the LingLab program by assisting with the recognition of participation in experiments (with certain additional credits) in cooperation with the Dean of Studies Office.

LingLab can also list experiments that are funded by third-party projects or by other means. In this case, LingLab only helps with the search for test subjects.

(Kopie 1)

Financial support
as academic achievement
Other experiment

Literature

Here, interested young researchers and students will find important literature references and information on scientific methods in psycholinguistics, corpus linguistics and statistical data processing.

  • Sediv, J. (2014). Language in Mind: An Introduction to Psycholinguistics. Sinauer Associates.

  • Lothar Lemnitzer, Heike Zinsmeister. 2006. corpus linguistics: an introduction, Gunter Narr Verlag
  • Beaver, Douglas, Conrad, Susan, & Reppen, Randi. 1998. Corpus Linguistics: Investigating Language Structure and Use. Cambridge University Press.
  • Tony McEnery and Andrew Hardie. 2012. Corpus Linguistics: Method, Theory and Practice. Cambridge University Press

  • Richard McElreath, Statistical Rethinking. CRC Press, 2015.
  • John Kruschke. Doing Bayesian Data Analysis, Academic Press, 2015.
  • Shravan Vasishth and Bruno Nicenboim. Statistical Methods for Linguistic Research: Foundational Ideas - Part I. Language and Linguistics Compass, 10(8):349-369, 2016.
  • Bruno Nicenboim and Shravan Vasishth Statistical methods for linguistic research: Foundational Ideas - Part II Language and Linguistics Compass, 10:591-613, 2016.
  • Tanner Sorensen, Sven Hohenstein, and Shravan Vasishth. Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists. Quantitative Methods for Psychology, 12(3):175-200, 2016.

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