Evidence map›Paper›PMID 36438321›Full record

ArticleFrontiers in psychology2022

Examining the effects of stroke on students' L2-grit levels in an EFL context: A case of Northern Iraq.

Diyar J M Mohammed, Behbood Mohammadzadeh, Yalın Kılıç

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. 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
0.9field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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 at 2 institutions in 2 countries.

Diyar J M MohammedELT Department, Faculty of Education, Cyprus International University, Nicosia, Turkey.
Behbood MohammadzadehELT Department, Faculty of Education, Cyprus International University, Nicosia, Turkey.
Yalın KılıçELT Department, Faculty of Education, Cyprus International University, Nicosia, Turkey.
Cyprus International University · CYCihan University Sulaimaniya

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article investigates the effects of stroke on students' L2-grit levels in an EFL context in Northern Iraq. A model was created to find how various components such as verbal, non-verbal, valuing, and activities that determine stroke levels affect students' grit. This study adopted the L2- Grit scale and a language domain-specific grit scale to measure the learners' L2-grit levels. Also, the Students' Stroke Scale (SSS) was used to measure the participants' stroke levels. The study's sample consisted of 199 participants from various academic levels, undergraduate, graduate, and postgraduate at several Northern Iraq universities. The results reveal a positive and statistically significant association between the score on the L2-Grit scale and the score on the Stroke scale; more specifically, as the scores on the L2-grit scale rise, so do the scores on the Stroke scale. The mean of low stroke is lower than the means of medium stroke and high stroke indicating that as people's stroke levels grow, so does their L2-grit status. The regression coefficients estimated within the framework of the regression model structured with the logit, the link function, are the same in each category of the dependent variable, satisfying the parallel curves assumption. The overall results show that positive stroke helps learners' L2-grit levels to arise and lead to a better learning process.

Indexed as

EFL contextL2-grit levelNorthern Iraqstroke leveluniversity students

Identifiers

PMID36438321
PMCPMC9691981
OpenAlexW4308861048

What OpenQuestion holds

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LicenceCC BY
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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.