Daniel Schmidtke

Daniel Schmidtke

Postdoctoral fellow

McMaster University

I am a postdoctoral fellow in the Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL) at McMaster University. My current research investigates the reading development of English language learners who are enrolled in an academic bridging program. You can find out more about my research projects below.


  • Reading development
  • Quantitative/corpus linguistics
  • Morphology
  • Reproducible science


  • PhD in Cognitive Science of Language, 2016

    McMaster University, Canada

  • MSc in Developmental Linguistics, 2011

    University of Edinburgh, UK

  • BA in English Language and Linguistics, 2010

    York St. John University, UK

Selected publications

See all publications

(2021). CompLex: An eye-movement database of compound word reading in English. In Behavior Research Methods.

Journal link Database link

(2020). Psycholinguistic Methods and Tasks in Morphology. In Oxford Research Encyclopedia of Linguistics, Oxford University Press.

Chapter link

Current Projects

I am currently investigating factors that predict the development of reading proficiency in students who use English as a foreign language (EFL students) enrolled in a pre-university English language bridging program. This work is supervised by Dr. Anna Moro and uses eye-tracking technology, clinical assessments of language skills, and statistical modeling to gain insight into EFL reading development. The results of this research is used to develop pedagogical interventions that are aimed at enhancing the language skills that are responsible for breakdowns in reading behavior.


An older project on Bob Dylan’s lyrics here


I have taught the following university-level courses at Mcmaster University:

Statistics for Language Research

(2017, 2019, 2020, 2021). An introductory course to statistical methods custom-tailored to the needs of language researchers. This course provides an introduction to R, a free software environment for statistical computing and graphics.

Computers and Linguistic Analysis

(2018, 2020).This course studies computational tools and techniques of language processing using large electronic collections of texts. Students are trained in basic text-processing, statistical and programming skills using R.

The Art of Leadership

(2017). This course offers senior undergraduate students the opportunity to participate in a learning-centred leadership program, involving peer-to-peer mentoring of students in the MELD program. The course provides up-front and on-going training and development in active leadership and mentorship.



R, Shiny, ggplot, Markdown


LMER, longitudinal analysis, growth curve modeling

Teaching and learning

Evidence-informed pedagogy

Behavioral research

Programming: EyeLink, Psychopy, Java, DMDX; Platforms: Pavlovia, Inquisit, GitLab, Amazon Turk, DMDX