Evidence map›Paper›PMID 38134010›Full record

ArticlePloS one2023

How international doctoral students' fields of study, proficiency in English and gender interact with their sense of making progress in English academic writing abilities.

Wai Mar Phyo, Marianne Nikolov, Ágnes Hódi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Wai Mar PhyoDoctoral School of Education, University of Szeged, Szeged, Hungary.ORCID 0000-0001-6143-7167
Marianne NikolovDepartment of English Applied Linguistics, University of Pécs, Pécs, Hungary.ORCID 0000-0001-5844-4729
Ágnes HódiDepartment of Kindergarten Teacher Training, University of Szeged, Szeged, Hungary.
University of Szeged · HUUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates how non-native English-speaking (NNES) doctoral students self-assess their English academic writing (EAW) abilities. A total of 255 international NNES students, hailing from 49 different countries and speaking 48 mother tongues, voluntarily participated in our study. They were enrolled in 65 PhD programs at 14 universities across Hungary during the 2021-2022 academic year. To address our research aim, we developed a survey using a 6-point Likert scale, following the guidelines of Dörnyei and Dewaele (2022). The survey focused on self-assessing their abilities to write academic texts in English. The analysis results indicate that students lacked confidence in their EAW abilities at the beginning of their PhD studies but exhibited increased confidence at the current stage. The results also highlight the influence of gender and English language proficiency on EAW self-assessments. Additionally, senior PhD students demonstrated greater confidence in field-specific lexical knowledge compared to their first-year peers. This study highlights the fact that NNES novice writers lacked the necessary EAW skills upon entering their PhD programs, making it challenging for them to start doctoral-level writing immediately. This underscores the need for comprehensive support that encompasses both enhancing English language proficiency and providing academic writing assistance.

Indexed as

LanguageStudentsHumansHungaryMental ProcessesWriting

Identifiers

PMID38134010
PMCPMC10745157
OpenAlexW4390100663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.