The Development and Validation of a Measure to Assess COVID-19 Stress among College Students for Sustainable Education
| Autor: | V. Vineeth Kumar, Bhagyasree Chatterjee, Geetika Tankha |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Predictive validity
Environmental effects of industries and plants Renewable Energy Sustainability and the Environment pandemic Geography Planning and Development Discriminant validity coronavirus factor analysis TJ807-830 Management Monitoring Policy and Law TD194-195 Structural equation modeling Confirmatory factor analysis Exploratory factor analysis Renewable energy sources scale Environmental sciences Convergent validity Scale (social sciences) Statistics GE1-350 sustainable education Psychology Reliability (statistics) |
| Zdroj: | Sustainability, Vol 13, Iss 9828, p 9828 (2021) Sustainability Volume 13 Issue 17 |
| ISSN: | 2071-1050 |
| Popis: | The impact of the COVID-19 pandemic on students’ personal, academic, and social life has been quite stressful. The threat to life from the virus, social isolation, and the need to shift from face-to-face learning to online mode has been challenging. Thus, the purpose of the present study was to develop and validate a self-administered tool to assess the source of COVID-19 pandemic stress among college students. The data was collected online using google forms in two phases. The data collected from 173 participants from phase one was analyzed using exploratory factor analysis (EFA). The second phase data of 216 participants were analyzed to validate the factor structure using confirmatory factor analysis (CFA). The standardized factor loadings, Composite Reliability (CR), and AVE of factors were assessed to determine the convergent validity of the scale. Similarly, discriminant validity and concurrent predictive validity were assessed through the HTMT ratio of correlations and ROC curves, respectively. A succession of Exploratory Factor Analysis yielded a five-factor solution, explaining 73.83 percent variance with 13 indices. CFA via maximum likelihood with bootstrapping indicated a good fit for the five-factor model (SRMR = 0.037, RMSEA = 0.049, CFI = 0.981). The standardized factor loadings, Composite Reliability (CR), and AVE of factors together suggest acceptable convergent validity. Further, the ROC curve results to assess stress indicated an acceptable AUC, with a magnitude of 0.79, p < 0.01, indicating concurrent predictive validity for the five-factor Student COVID-19 Stress Scale (SCSS). HTMT ratio of correlations < 0.85 indicated discriminant validity for the factor structure. The CR > 0.70 for the dimensions indicated acceptable reliability. Thus, the SCSS can be an effective instrument to assess the source of pandemic stress among students so that tailor-made timely interventions can be provided to prevent long-term adverse effects. |
| Databáze: | OpenAIRE |
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