Citation & licence¶
The Quantitative Research Methods course materials are based on, and follow the structure of, the textbook An Introduction to Statistical Learning, with Applications in Python. If you reuse them, please cite the source textbook.
James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). An Introduction to Statistical Learning, with Applications in Python. Springer Texts in Statistics. Springer. https://doi.org/10.1007/978-3-031-38747-0
@book{islp2023,
title = {An Introduction to Statistical Learning: with Applications in Python},
author = {James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert and Taylor, Jonathan},
year = {2023},
publisher = {Springer},
series = {Springer Texts in Statistics},
isbn = {978-3-031-38746-3},
doi = {10.1007/978-3-031-38747-0},
url = {https://www.statlearning.com}
}
Citing these materials¶
The repository ships a CITATION.cff
file, so GitHub’s “Cite this repository” button produces a correct entry
automatically. In prose:
Weisser, C. (2026). Quantitative Research Methods — Lecture Materials. Hochschule Bielefeld (HSBI). https://github.com/ChrisW09/Quantitative-Research-Methods
Please cite the textbook alongside it.
Attribution¶
The slides, exercises, mock exams and notebooks in this repository were prepared by Prof. Dr. Christoph Weisser (HSBI), Summer Semester 2026.
The ISLP textbook, its text and its figures are © the authors / Springer. The
datasets are distributed by the authors at
statlearning.com for use with the book. The
copyrighted textbook PDF and figure banks are not included in this
repository (Source_Material/ is git-ignored) — see
Repository layout.
Slides that reproduce a textbook figure attribute it to its source.
Contact¶
Questions about the materials, or an instructor request for the mock exams and runsheets: info@profweisser-ai.de.