ArticleFrontiers in psychology2023
Psychometric properties of a new instrument for the measurement of the perceived quality of distance learning during the coronavirus disease 2019 (COVID-19) pandemic.
Article in Frontiers in psychology, 2023. 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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5 citing papers in PubMed, 10 citations in OpenAlex.
- Adult attachment, psychological stress, and quality of life: insights into Italian veterinary medicine students' mental health.BMC psychology · 2026Article
- Network analysis of comorbid depression and anxiety and their associations with academic engagement among medical students in the Post-Peak COVID-19 period in China.BMC psychology · 2025Article
- Validity, reliability, measurement invariance, and equipercentile linking of the depression anxiety stress scale-21 in the youth population in Singapore.Frontiers in psychology · 2025Article
- Exploring the influence of learning modality preferences and COVID-19 infection experiences on depressive mood in Chinese students.Scientific reports · 2024Article
- Socioeconomic Status and Students' Mental Health during the COVID-19 University Closure: Mediating Roles of Perceived Social Support and Self-Efficacy.Behavioral sciences (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Introduction: The lockdown restrictions due to the COVID-19 pandemic forced many students to use distance learning. Few studies have examined the psychological effects of distance learning during the pandemic on university or on non-university students using a specific psychometric tool. The principal aim of this study was the construction and validation of a new psychometric tool, the Perceived Quality of Distance Learning (PQDL), to measure students' appreciation and reaction to distance learning. The connection between anxiety, depression, perceived self-efficacy, and students' perception of distance learning was analyzed to assess the nomological validity of the new scale. Method: The sample consists of 429 students who attended university or training courses. The factor structure of the new instrument was analyzed through Exploratory and Confirmatory Factor Analyses and its nomological validity was analyzed through regression analysis. Conclusion: The results showed that PQDL consists of two subscales: Distance Learning Organization and Cognitive-Emotive Reaction to Distance Learning. Higher student's ability to organize and plan distance learning and higher student's positive cognitive-emotive reaction to distance learning, higher student's perceived quality of distance learning. Anxiety and depression scores were negatively correlated with students' perceived quality of distance learning. Furthermore, students' perceived emotional self-efficacy of negative emotions and perceived scholastic self-efficacy were positively correlated with students' perceived quality of distance learning. These data indicate that PQDL is a reliable questionnaire to assess student's perceived quality of distance learning.
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