Quantitative Empirical Studies in Linguistics, Language Teaching, Statistics, R and SPSS – a Reading List #rstats

Claus Caspari and I have just started half-time advisory positions at the Mercator-Institute for Literacy and Language Education. Below you can find a list of core readings for linguists and language teaching researchers who engage in quantitative empirical studies and carry out statistical analyses in SPSS or R. The list contains publications in English and German.

Further readings can be found here: https://experimentalfieldlinguistics.wordpress.com/readings/

Websites with information about tools, software, institutions, etc. can be found here: https://experimentalfieldlinguistics.wordpress.com/links/

Corpora, lexical databases, and other ressources can be found here: https://experimentalfieldlinguistics.wordpress.com/experimental-materials/

All the best

Sonja Eisenbeiß und Claus Caspari, 2020-02-17

 

Einführungen in quantitative empirische Studien und Statistik /
Introductions to Empirical Research and Statistics

  • Albert, R., & Marx, N. (2016). Empirisches Arbeiten in Linguistik und Sprachlehrforschung: Anleitung zu quantitativen Studien von der Planungsphase bis zum Forschungsbericht. Tübingen: Narr Francke Attempto Verlag.
  • Eid, M., Gollwitzer, M., & Schmitt, M. (2017). Statistik und Forschungsmethoden. Weinheim: Beltz.
  • Podesva, R. J., & Sharma, D. (Eds.). (2014). Research methods in linguistics. Cambridge: Cambridge University Press.
  • Roche, J. (2019). Propädeutikum wissenschaftliches Arbeiten: Schwerpunkt DaF/DaZ und Sprachlehr-/Spracherwerbsforschung. Narr Francke Attempto Verlag.

 

Generelle Einführungen in Statistik mit SPSS /
General Introductions to Statistics Using SPSS

  • Field, A. (2017). Discovering statistics using IBM SPSS statistics. London: Sage.

 

Generelle Einführungen in Statistik mit R /
General Introductions to Statistics Using R

  • Field, A., Miles, J., Field, Z. (2012): Discovering statistics using R. London: Sage.
  • Luhmann, M. (2010). R für Einsteiger. Weinheim: Beltz.

 

Linguistisch orientierte Einführungen in Statistik mit R /
Introductions to Statistics with R and a Linguistic Focus

  • Gries, S. T. (2013). Statistics for linguistics with R. A practical introduction(2nd revised ed.). Berlin – Boston: De Gruyter Mouton.
  • Nicenboim, B., & Vasishth, S. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass, 10(11), 591-613.
  • Vasishth, S., & Nicenboim, B. (2016). Statistical methods for linguistic research: Foundational ideas–Part I. Language and Linguistics Compass, 10 (8), 349-369.
  • Winter, B. (2019). Statistics for Linguists: An Introduction Using R. New York: Routledge.

 

 

Korpuslinguistik mit R /
Corpus Linguistics with R

  • Gries, S. T. (2009). Quantitative corpus linguistics with R. A practical introduction. Oxford: Routledge.

 

Einführungen in Mixed Models /
Introductions to Mixed Models

  • Cunnings, I. (2012). An overview of mixed-effects statistical models for second language researchers. Second Language Research 28 (3), 369–382.
  • Winter, B. (2013). ‘Linear Models and Linear Mixed Effects Models in R with Linguistic Applications’, arXiv: 1308.5499

 

Entscheidungshilfen bei der Erstellung von Mixed Models /
Making Decision in the Creation of Mixed Models

  • Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of memory and language, 68(3), 255-278.
  • Matuschek, H., Kliegl, R., Vasishth, S., Baayen, R.H., & Bates, D.M.(2015). Balancing type I error and power in linear mixed models. arXiv:1512.01864[stat.AP]
  • Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015). Parsimonious Mixed Models. arXiv:1506.04967[stat.ME]