Supervision of academic projects

 

I supervise academic projects of students enrolled in Bachelor, Master and PhD programmes.

 

The topics in which I offer supervision include 

 

- Applied Linguistics

- Language attitudes

- Psychology of Language Learner

- Second language acquisition

- Sociolingustics

- World Englishes

 

How to reference academic work in linguistics

1. Journal Article

Template

Author, A. A., & Author, B. B. (Year). Title of the article. Title of the Journal, Volume Number(Issue Number), page range. https://doi.org/xxxxx

Example

Tagliamonte, S. A., & D'Arcy, A. (2009). Peaks beyond phonology: Adolescence, incrementation, and language change. Language, 85(1), 58–108. https://doi.org/10.1353/lan.0.0084

In-text citation

  • Parenthetical: (Tagliamonte & D'Arcy, 2009)
  • Narrative: Tagliamonte and D'Arcy (2009)

2. Chapter in an Edited Volume

Template

Author, A. A. (Year). Title of the chapter. In E. E. Editor & F. F. Editor (Eds.), Title of the book (pp. xx–xx). Publisher.

Example

Eckert, P. (2012). Three waves of variation study: The emergence of meaning in the study of sociolinguistic variation. In J. K. Chambers & N. Schilling (Eds.), The handbook of language variation and change (2nd ed., pp. 87–100). Wiley-Blackwell.

In-text citation

  • Parenthetical: (Eckert, 2012)
  • Narrative: Eckert (2012)

3. Monograph (Single-Author Book)

Template

Author, A. A. (Year). Title of the book. Publisher.

Example

Labov, W. (2001). Principles of linguistic change: Social factors. Blackwell.

In-text citation

  • Parenthetical: (Labov, 2001)
  • Narrative: Labov (2001)

Common Student Mistakes

✓ Italicize journal titles, book titles, and volume numbers.
✓ Do not italicize article or chapter titles.
✓ Include page numbers for book chapters.
✓ Use hanging indentation in the reference list.
✓ Include a DOI whenever available.
✓ Use "&" in the reference list but "and" in narrative citations.

Plagiarisms: what are these and how to avoid them?

 

Plagiarism is using someone else’s ideas, words, or work without giving proper credit.
It can be:

  • Direct copying (copy–paste from websites, books, or AI tools)

  • Poor paraphrasing (changing only a few words)

  • Using ideas without citing

  • Re-using your own previous work without permission (self-plagiarism)

  • Submitting work you didn’t write

Plagiarism can be intentional or unintentional, but the consequences are the same — so it’s important to learn how to avoid it.

 

How to Avoid Plagiarism

1. Keep track of your sources

  • Write down where every idea, quote, or statistic came from.

2. Paraphrase properly

  • Good paraphrasing means rewriting ideas fully in your own words and structure, not just swapping words.

3. Use quotation marks

  • If you use someone’s exact words → put them in quotation marks and cite the source.

4. Cite everything that is not common knowledge

  • If you had to look it up, you should probably cite it.

5. Use a reference style consistently

  • Common styles: APA, MLA, Chicago.
    Pick one and use it the same way throughout the text.

6. Plan your writing early

  • Most plagiarism happens when students feel rushed.

7. Use plagiarism-detection tools responsibly

  • They help you check your work — they do not replace proper writing and citation.

 

For Learning How to Avoid Plagiarism

 

  • Purdue Online Writing Lab (OWL)
    Excellent tutorials on paraphrasing, quoting, and citation.

  • Scribbr – Academic Writing Guides
    Clear examples, quizzes, and step-by-step explanations.

  • Copyleaks – Plagiarism Resources
    Tips for correct referencing and avoiding accidental plagiarism.

  • University of Siegen – Plagiate vermeiden
    German-language explanations of plagiarism & good academic practice

 

Useful resources

 

1. Free software for statistical analysis of data: 

JASP: https://jasp-stats.org/

  • Free and open-source, runs on Windows, macOS, Linux
  • Intuitive GUI, similar to what you might know from commercial packages like SPSS

 

2. Introductions into statistical analysis of data: 

Statistics with LAERD: https://statistics.laerd.com/

  • This site offers very clear introductions into the whats and hows of many statistical procedures
  • It is not a free source but the prices are very moderate
  • From my personal experience, you can learn very fast with this resource within a short period of time