Local Coherence Variables in High-Score Group: 66 Student Compositions

Jinhua Zhang's dataset analyzes 66 students' English compositions from an application-oriented university. The data, last updated in May 2026, measures linguistic complexity at lexical, syntactic, and textual levels. Results correlate text coherence with writing quality and highlight non-linear development in lexical and syntactic competence.

Use Cases

• Analyze the relationship between text coherence and writing quality based on the study's findings.
• Investigate non-linear developmental features in lexical and syntactic competence as described.
• Compare the sensitivity of different lexical and syntactic complexity indicators to writing proficiency.
• Inform EFL curriculum design tailored to varying student proficiency levels based on the study's conclusions.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and initial exploration.
• Analysis is based on 66 student compositions, providing a concrete sample size.
• The study hierarchically analyzes compositions at three linguistic levels: lexis, syntax, and text.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Jinhua Zhang via figshare.

Collection Method

Analysis of student compositions from an application-oriented university.

Freshness

Last updated 2026-05-21 07:34:52; freshness should be verified.

Geography

Likely China, based on the description of Chinese application-oriented universities.