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University of Illinois at Urbana-Champaign

Factors Explaining EFL Learners' Performance in a Timed Essay Writing Test: A Structural Equation Modeling Approach

Abstract

dc:description

The results of the comprehensive modeling using structural equation modeling (SEM) revealed L2 language knowledge as the most important predictor for L2 writing performance with all five variables explaining 70.4% of the variance in L2 writing performance. Further, a simultaneous multi-group SEM with high and low- L2 writing ability groups indicated that L2 writing performance was explained by the full model to a different degree for each group as well as to a different manner across the groups. Based on these findings, practical implications for EFL writing instruction, writing assessment, and research methodology were addressed.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Education
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yun, Youngmi
Contributors dc:contributor
  • Davidson, Fred

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3199191
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/79881

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yun, Youngmi. Factors Explaining EFL Learners' Performance in a Timed Essay Writing Test: A Structural Equation Modeling Approach. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/79881