Evidence map›Paper›PMID 37158930›Full record

ArticleBMC nursing2023

Psychometrics evaluation of the university student engagement inventory in online learning among Arab students.

Hamid Sharif-Nia, João Marôco, Pardis Rahmatpour, Nassim Ghahrani, Fatima Muhammad Ibrahim, Maryam Mohammad Ibrahim, Omolhoda Kaveh

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Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

7 authors.

Hamid Sharif-NiaEducation Development Center, Mazandaran University of Medical Sciences, Sari, Iran.
João MarôcoWilliam James Centre for Research ISPA - Instituto Universitário, Lisboa, Portugal.
Pardis RahmatpourSchool of Nursing and Midwifery, Alborz University of Medical Sciences, Karaj, Iran.
Nassim GhahraniEducation Development Center, Mazandaran University of Medical Sciences, Sari, Iran.
Fatima Muhammad IbrahimReproductive Health Department, school of Nursing and Midwifery, Tehran university of Medical Sciences, International Campus, Tehran, Iran.
Maryam Mohammad IbrahimReproductive Health Department, school of Nursing and Midwifery, Tehran university of Medical Sciences, International Campus, Tehran, Iran.
Omolhoda KavehDepartment of Nursing, Sari Faculty of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran. kaveh.hoda@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimStudent' engagement is a predictor of various educational outcomes, and it is a key factor in perceived learning. This study aims to investigate the psychometric properties of University Student Engagement Inventory (USEI) among students of Arab universities.

methodsIn this cross-sectional methodological study 525 Arab university students participated. Data was collected from December 2020 to January 2021. The confirmatory factor analysis used for construct validity, reliability and Invariance analysis for Sex were evaluated.

resultsConfirmatory factor analysis indices confirmed the good model fit to the data (CFI

conclusionThe results of this study support the validity and reliability of the USEI with 15 items and 3 factors and demonstrate the importance of students' engagement in the learning process, academic progress, and self-directed learning.

Indexed as

Distance learningOnline learningPsychometricStudent EngagementUniversity students

Identifiers

PMID37158930
PMCPMC10169459

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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.