Daniel Schmidtke

Daniel Schmidtke

Postdoctoral fellow

McMaster University

Hi! Welcome to my personal site. I am a postdoctoral fellow in the Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL) at McMaster University in Ontario, Canada.

My research investigates the language development of English language learners who are enrolled in an academic bridging program. You you can find my latest work below.

Interests

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

Education

  • 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

Recent publications

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Daniel Schmidtke, Julie A. Van Dyke, Victor Kuperman (2021). CompLex: An eye-movement database of compound word reading in English. In Behavior Research Methods.

Journal link Database link

Daniel Schmidtke, Anna L. Moro (2020). Determinants of Word-Reading Development in English Learner University Students: A Longitudinal Eye Movement Study. In Reading Research Quarterly.

Journal link

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

Chapter link

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Current projects

These projects are currently under peer review or have recently been published

What can the readiing habits of EFL students tell us about their reading development? This project tracked the reading activity of 150 bridging program students over 26 weeks in order to gain insight into their reading development.

Many words in English are morphologically complex (assign-ment, teach-er) and so being able to proficiently apply the correct endings (suffixes) to complex words is an important skill to acquire. In this project we analyzed the written production of English language learners and asked What kinds of morphologically complex words are the most difficult for EFL students to learn?

This technical report assessed the change in English language skills of 340 EFL students enrolled in a university bridging program. This report used of the Reliable Change Index Statistic in order to test if the change in scores is greater than might would be expected from random variation alone. The report is available on ResearchGate.

Does your incoming reading skill give you a developmental advantage in an academic English bridging program? This longitudinal eye-movement study of over 400 EFL students showed that if you enter a bridging program with stronger English reading proficiency, you may have a head start in your reading fluency and reading comprehension. However, students of all incoming reading ability levels develop reading fluency and comprehension at the same rate.

Using machine learning to investigate factors that predict EFL reading development. This project was published in Reading Research Quarterly.

Teaching

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.

Undergraduate supervision

I supervised the undergraduate research thesis of Shaina Benjamin.

Skills

R

R, Shiny, ggplot, Markdown

Statistics

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

Media

An article about my current work at the MELD program at McMaster University

A selection of news articles related to our Twitter study:

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