Article published In: Register Studies
Vol. 5:2 (2023) ► pp.171–204
A multi-dimensional analysis of graduate student writing in two applied science disciplines
Published online: 5 March 2024
https://doi.org/10.1075/rs.23003.bec
https://doi.org/10.1075/rs.23003.bec
Abstract
This article reports on a new Multi-dimensional model of graduate student coursework writing in two applied
science disciplines from a corpus containing 1,108 texts and 2,008,316 words. The Exploratory Factor Analysis (EFA) revealed five
dimensions: (1) Conceptual Information vs. Process-Focused Actions (2) Human/Subjective- vs. Entity/Objective- Focus, (3)
Attitudinal Monoglossia vs. Precisely Measured Information, (4) Social vs. Physical Science Approaches, and (5) Speculative vs.
Finalized Events. The dimensions are analyzed functionally in terms of both register and discipline. The results demonstrate that
course papers exhibit distinct patterns of language use, often attributed to the varying purposes of the texts but also related to
disciplinary ways of knowing. Findings have implications for disciplinary writing research and representativeness of student
writing corpora while contributing to an exploration of register as a continuous construct. The research provides an enhanced
understanding of academic coursework writing for stakeholders such as professors, graduate students, writing consultants. (150
words)
Article outline
- 1.Introduction
- 2.Corpus of graduate student coursework papers (CorGrad)
- 2.1Corpus compilation
- 2.2File conversion and cleaning
- 2.3Situational characteristics of GSW
- 3.Method
- 3.1Corpus annotation
- 3.2Exploratory factor analysis (EFA)
- 4.Results
- 4.1Dimension 1: Conceptual information vs. Process-Focused actions
- 4.2Dimension 2: Subjective/human vs. objective/entity focus
- 4.3Dimension 3: Attitudinal Monoglossia vs. Measured Data
- 4.4Dimension 4: Social vs. physical approaches to applied scientific inquiry
- 4.5Dimension 5: Speculative vs. finalized events
- 5.Conclusions
- Notes
References
References (35)
Aull, L. L.& Lancaster, Z. (2014). Linguistic markers of stance in early and advanced academic writing: A corpus-based comparison. Written communication, 31(2), 151–183.
Berkenkotter, C.& Huckin, T. N. (1995). Genre knowledge in disciplinary communication. Cognition/Culture/Power. Hillsdale, N.J.: Lawrence Erlbaum.
(2019). Multi-dimensional
analysis: A historical synopsis. In Sardinha, T. B., & Pinto, M. V. (Eds.). (2019). Multi-dimensional
analysis: Research methods and current issues. Bloomsbury Publishing.
2006. University
Language: A Corpus-Based Study of Spoken and Written Registers. John Benjamins.
Biber, D., & Egbert, J. (2016). Register
variation on the searchable web: A multi-dimensional analysis. Journal of English
Linguistics, 44(2), 95–137.
Biber, D., & Gray, B. (2010). Challenging
stereotypes about academic writing: Complexity, elaboration, explicitness. Journal of English
for Academic
Purposes, 9(1), 2–20.
Biber, D., Conrad, S., & Reppen, R. (1998). Corpus
Linguistics: Investigating Language Structure and
Use. Cambridge: Cambridge UP.
Biber, D., Gray, B., & Poonpon, K. (2011). Should
we use characteristics of conversation to measure grammatical complexity in l2 writing
development? TESOL
Quarterly, 45(1), 5–35.
Braine, G. (1989). Writing
in science and technology: An analysis of assignments from ten undergraduate courses. English
for Specific
Purposes, 8(1), 3–15.
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37–46.
Cooper, A. and Bikowski, D. (2007). Writing
at the graduate level: what tasks do professors actually require? Journal of English for
Academic
Purposes 6(3): 206–21.
Egbert, J. (2015). Publication
type and discipline variation in published academic writing. International Journal of Corpus
Linguistics, 20(1), 1–29.
(2019). Corpus
design and representativeness. In Sardinha, T. B., & Pinto, M. V., (Eds.). Multi-dimensional
analysis: Research methods and current
issues, 27–42. Bloomsbury Publishing.
Egbert, J., Biber, D., and Gray, B. (2022). Designing
and evaluating language corpora: A practical framework for corpus
representativeness. Cambridge: Cambridge University Press.
Gardner, S. & Nesi, H. (2013). A
classification of genre families in university student writing. Applied
Linguistics 34(1), 25–52.
Gardner, S., Nesi, H., & Biber, D. (2019). Discipline,
level, genre: Integrating situational perspectives in a new MD analysis of university student
writing. Applied
Linguistics, 40(4), 646–674.
Graves, R., Hyland, T., & Samuels, B. M. (2010). Undergraduate
writing assignments: An analysis of syllabi at one Canadian college. Written
Communication, 27(3), 293–317.
Gray, B. (2015). Linguistic
Variation in Research Articles: When discipline tells only part of the
story. Philadelphia: John Benjamins Publishing Company.
(2019). Tagging
and counting linguistic features for multi-dimensional
analysis. In Sardinha, T. B., & Pinto, M. V. (Eds.). (2019). Multi-dimensional
analysis: Research methods and current issues. Bloomsbury Publishing.
Grieve, J., Biber, D., Friginal, E., & Nekrasova, T. (2011). Variation
among blogs: A multi-dimensional analysis. In A. Mehler, Sharoff, S., & Santini, M. (Eds.) Genres
on the web: Computational models and empirical
studies, 303–322. New York: Springer.
Hardy, J. A., & Römer, U. (2013). Revealing
disciplinary variation in student writing: A multi-dimensional analysis of the Michigan Corpus of Upper-level Student Papers
(MICUSP). Corpora, 8(2), 183–207.
Ives, L., Gokhale, J., Barott, W. C., & Perez, M. V. (2019). Sprinting
Toward Genre Knowledge: Scaffolding Graduate Student Communication Through” Sprints” in Finance and Engineering
Courses. Across the
Disciplines, 16(2), 16.
Jackson, L., Meyer, W. and Parkinson, J. (2006). A
study of the writing tasks and reading assigned to undergraduate science students at a South African
University. English for Specific
Purposes 25(3): 260–81.
LaFrance, M., & Corbett, S. J. (2020). Discourse
community fail! Negotiating choices in success/failure and graduate-level writing
development. In M. Brooks-Gillies, Garcia, E. G., Kim, S. H., Manthey, K., and Smith, T. G. (Eds.) Graduate
Writing Across the Disciplines: Identifying, Teaching,
Supporting: 295–314.
Nesi, H., & Gardner, S. (2012). Genres
across the disciplines: Student writing in higher education. Cambridge, England: Cambridge University Press.
O’Donnell, M. B., & Römer, U. (2012). From
student hard drive to web corpus (part 2): The annotation and online distribution of the Michigan Corpus of Upper-level
Student Papers
(MICUSP). Corpora, 7(1), 1–18.
Plonsky, L.& Oswald, F. L. (2014). How big is “big”? Interpreting effect sizes in L2 research. Language learning, 64(4), 878–912.
Römer, U., & O’Donnell, M. B. (2011). From
student hard drive to web corpus (part 1): the design, compilation and genre classification of the Michigan Corpus of
Upper-level Student Papers
(MICUSP). Corpora, 6(2), 159–177.
Thompson, P. & Gray, B. (2022). Motivation,
development, and application of a revised framework for semantic categories of content words in corpus-based academic writing
research. American Association for Applied Linguistics annual
conference. Pittsburgh, PA.
