hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Error Analysis of Subject-Verb Agreement by Swedish Learners of English: Corpus-Based Study of the Difficulties Surrounding Subject-Verb Agreement for Swedish Students
University of Gävle, Faculty of Education and Business Studies, Department of Humanities.
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This study investigates subject-verb agreement errors produced by students in upper secondary school in Sweden. The research was conducted in an attempt to understand why students acquiring English as their L2 struggle with learning subject-verb agreement, and to categorize the grammatical environments which cause students to produce errors related to subject-verb agreement. There are two extralinguistic variables at the center of the study: (i) gender and (ii) education level. Error analysis was the method of choice for this study, and the study used essays produced by students from the Uppsala Learner of English Corpus to identify and classify subject-verb agreement errors according to linguistic and extralinguistic variables. The linguistic variables were separated into four clusters: (i) subject type, (ii) subject number, (iii) distance and (iv) verb. The variables in each cluster were: (i) common noun, pronoun, existential clause; (ii) singular, plural; (iii) subject-postmodifier, other distance, no distance; (iv) auxiliary verb, regular, irregular. In total, 117 texts were included in the analysis with 57 texts being written by female students, and 60 from male students, to ensure that gender could be used as a variable. Previous research suggests that female students are slightly better academically than male students and suggests that subject-verb agreement is an issue across all levels of education. These findings were supported by this study, as the normalized frequencies for gender show that not only do female students perform better than male students, but they also improve across level while male students get worse. The grammatical environments that proved to be most difficult for the participants to produce correctly were common nouns 57.7% (n=75), plural subjects 54.6% (n=71), irregular verbs 59.2% (n=77) and distance 30.8% (n=40).

Place, publisher, year, edition, pages
2020. , p. 32
Keywords [en]
Error Analysis, SLA, Swedish, ELT, Subject-Verb Agreement
National Category
Languages and Literature
Identifiers
URN: urn:nbn:se:hig:diva-32059OAI: oai:DiVA.org:hig-32059DiVA, id: diva2:1416130
Subject / course
English language education
Educational program
Upper Secondary Teacher Education Programme
Supervisors
Examiners
Available from: 2020-03-23 Created: 2020-03-21 Last updated: 2020-03-23Bibliographically approved

Open Access in DiVA

fulltext(494 kB)21 downloads
File information
File name FULLTEXT01.pdfFile size 494 kBChecksum SHA-512
67be2a12aa3bf6688e0211cfd6efd4223ff1cd5b6e423851cbbe44a6d673656942a44c9708c89431b6492a42dd9c8639c24a15ca95d7537813205dcbf3c12f49
Type fulltextMimetype application/pdf

By organisation
Department of Humanities
Languages and Literature

Search outside of DiVA

GoogleGoogle Scholar
Total: 21 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf