Evidence map›Paper›PMID 39851831›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Psychological Distress and Online Academic Difficulties: Development and Validation of Scale to Measure Students' Mental Health Problems in Online Learning.

Mihai Curelaru, Versavia Curelaru

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Mihai CurelaruDepartment of Psychology, Faculty of Psychology and Educational Sciences, Alexandru Ioan Cuza University of Iasi, 700506 Iasi, Romania.ORCID 0000-0002-7506-6448
Versavia CurelaruDepartment of Teacher Training, Faculty of Psychology and Educational Sciences, Alexandru Ioan Cuza University of Iasi, 700506 Iasi, Romania.ORCID 0000-0003-1389-9687

Funding

Alexandru Ioan Cuza University of Iasi, Romania FCSU/2024
6 · The paper itself

Abstract

In the present study, a short instrument (eight-item self-report, five-point Likert scales) was developed and validated to assess self-perceived mental health problems in online learning. The participants were 398 Romanian university students from nine different faculties. The factor structure of the scale was assessed using Exploratory Factor Analysis (Principal Axis Factoring extraction method) and Confirmatory Factor Analysis. The high goodness-of-fit indices validated a second-order factor model of mental health problems, with two distinct but correlated sub-constructs, psychological distress, and online academic difficulties, integrated under a single higher-level factor. Psychological distress comprises indicators such as anxiety and stress, while online academic difficulties contain, for instance, indicators such as decreased performance, fatigue or lack of motivation. The results of applying multiple assessment criteria showed good reliability (e.g., McDonald's omega), as well as convergent validity (e.g., Average Variance Extracted) and discriminant validity (e.g., the heterotrait-monotrait ratio of correlations) of the scale. Also, correlations analysis between mental health problems occurred in online learning context and other measures indicated a strong negative relation with online course satisfaction and weak negative relations with subjective academic performance, perceived social competence, and perceived digital competence. In conclusion, the scale appears to be a valid instrument for measuring some negative mental health outcomes in online learning, perceived by university students. The implications of the results and limitations of this study are also discussed. In conclusion, the scale has multiple possible applications, the most important being (1) the assessment of mental health problems both in ordinary online learning situations and in emergency ones, which would allow the early detection of these issues, (2) the possibility of assessing relations between the sub-constructs of the scale and other psychological constructs of interest in scientific research, and (3) the feedback for teaching staff involved in the online learning system.

Indexed as

COVID-19mental health problemsonline academic difficultiesonline learningpsychological distressscale development

Identifiers

PMID39851831
PMCPMC11759182

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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.