Evidence map›Paper›PMID 40888980›Full record

ArticleJournal of psycholinguistic research2025

Relationship Between Chinese Character Conformational Features and the Legibility of Handwritten Chinese Characters for CFL Beginners.

Yun Lai, Xiwen Zhang, Zixiang Fan

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In one paragraph

Article in Journal of psycholinguistic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yun LaiCollege of International Cultural Exchange, Northwest Normal University, Lanzhou City, China.ORCID http://orcid.org/0009-0005-6220-4310
Xiwen ZhangCollege of Information Science, Beijing Language and Culture University, Beijing City, China.
Zixiang FanTeachers' College, Beijing Union University, Beijing City, China. spfzx@sina.com.ORCID http://orcid.org/0009-0006-9808-6704

Funding

International Association for Accounting Education and Research 23YH37DNorthwest Normal University Doctoral Research Initiation Fund 202203103104Northwest Normal University Young Teachers' Scientific Research Ability Enhancement Program Project 20230023
6 · The paper itself

Abstract

This paper investigates the relationship between the structural features of Chinese characters and the handwriting quality of Chinese as a Foreign Language (CFL) beginners. The study involved 22 CFL beginners transcribing characters using digital ink technology. Correlations were analyzed between structural features (including stroke count, stroke types, and specific stroke forms like hooks and folds) and three key handwriting quality indicators: Composite Stability, symmetry, and slant. The results revealed significant correlations between character complexity and handwriting quality. Specifically, characters containing right-falling strokes exhibited lower Composite Stability, whereas a higher number of hooks correlated with improved Composite Stability. Characters with more diverse stroke types were associated with better symmetry, while folds negatively impacted both symmetry and slant. Furthermore, characters with a greater number of left-falling strokes, right-falling strokes, and folds were linked to poorer slant performance. These findings underscore the importance for Chinese language teachers to consider character structural features in instructional design and suggest that targeted practice with structurally challenging characters, focusing on specific stroke configurations, may more effectively enhance learners' Chinese character writing skills.

Indexed as

HandwritingLanguageMultilingualismChildChinaFemaleHumansMaleCFL beginnersChinese character structureChinese character writingHandwriting qualityTeaching chinese characters

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.