Structural equation modelling of COVID-19 knowledge and attitude as determinants of preventive practices among university students in Ghana

Psychometric properties of pandemic awareness scale for students aged 8-12: The case of COVID-19

It is very important to show awareness in order to reduce the health risks posed by pandemics. In Turkey, primary and secondary schools, which were kept closed until September 2021 due to COVID-19, were reopened and students were expected to show awareness to avoid contamination. Therefore, it became even more important to reveal the awareness level of these students. In this study, it was aimed to develop a tool that could measure the awareness of the pandemic in general, and the awareness of COVID-19 in particular, of 8-12 year-old students. For this purpose, the data of the study were obtained during the period when primary and secondary schools in Turkey started face-to-face education (15 September 2021-15 October 2021). The data of the study were gathered from 466 primary (3rd and 4th grades) and secondary school (5th, 6th and 7th grades) students studying in different cities (13 cities) of Turkey, districts and villages of these city centers. The data were randomly divided into two equal data sets. Parallel and exploratory factor analysis were performed with the first data set. As a result of analysis, a single factor model with 12-item was obtained that explained approximately 44% of the variances. This model was tested with confirmatory factor analysis using the second data set. As a result of the tests, it was found that the model fitted well (RMSEA = 0.073, SRMR = 0.050, CFI = 0.93, TLI = 0.91 and GFI = 0.93) and a tool Pandemic Awareness Scale (PAS) was reached. In addition, it was seen that the scale showed measurement invariance in terms of gender, and partial measurement invariance according to school type. It was found that the reliability of the scores obtained from the scale was high. With this scale, COVID-19 awareness of students aged 8-12 could be measured, as well as the awareness of the same age group in pandemics with similar characteristics.

The Effect of Risk and Protective Factors on Primary School Students' COVID-19 Anxiety: Back to School After the Pandemic

This study aimed to analyze the risk and protective factors affecting the COVID-19 anxiety of primary school students after the reopening. It was investigated how primary school students' parents' vaccination, and COVID-19 cases seen at school, knowledge and awareness directly or indirectly explained their individual and social COVID-19 anxiety. The data were obtained from 227 primary school students living in different regions of Turkey. Pandemic Awareness Scale, Pandemic Anxiety Scale, Pandemic Information Test and Information Form were used to obtain the data. The data were analyzed by path analysis. According to the results, the case seen at school, knowledge and awareness of COVID-19 directly and significantly predicted primary school students' individual and social COVID-19 anxiety. Vaccination of parents, on the other hand, directly significantly predicted social COVID-19 anxiety of primary school students, but did not significantly predict individual COVID-19 anxiety. In addition, in this effect, awareness of COVID-19 mediates the knowledge of COVID-19, and cases seen at school mediate the vaccination of parents. The obtained model showed a good fit. According to the results, primary school students' knowledge and awareness about COVID-19 and parents' vaccination reduced their anxieties, and COVID-19 cases seen at school increased their anxiety.

Investigating Accessibility of Social Security System (SSS) Mobile Application: A Structural Equation Modeling Approach

Due to the Philippines’ current condition in COVID-19, the Social Security System (SSS) has launched a mobile app as an intervention for walk-in appointments and another convenient way to exchange information. By integrating the extended Technology Acceptance Model (TAM) with the Theory of Planned Behavior (TPB), this study scrutinizes and investigates the various factors influencing the SSS mobile app’s accessibility. An online questionnaire composed of 60 items required at least 200 respondents. The researchers measured twelve latent variables, including social influence, awareness of service, computer self-efficacy, quality of internet connection, perceived ease of use, perceived usefulness, subjective norms, the impression of use, demographic, attitude towards using, behavioral intention to use, and actual use of SSS mobile app. The results of Structural Equation Modeling (SEM) indicated that awareness of service had a substantial direct influence on computer self-efficacy and perceived usefulness. In addition, computer self-efficacy had a substantial direct influence on the quality of internet connection and perceived ease of used, in which this perceived ease of use had a substantial direct influence on perceived usefulness and attitude toward using the mobile application. This study’s findings can be used to provide information on the key factors that have been identified as having a considerable effect on the app’s accessibility and further improving the overall service efficiency of the SSS mobile app. Finally, the study’s model construct will be valuable for researchers and other sectors investigating user–software interaction of applicable government or private service mobile applications.