Data for: Community perception and COVID-19 prevention
Data files
Jan 12, 2023 version files 301.71 KB
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DATA_FINAL_tio-edit2.csv
298.39 KB
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README.1.md
3.32 KB
Abstract
The world is presently burdened with the COVID-19 pandemic. As of 7 February 2022, there have been 394,381,395 confirmed cases of COVID-19, including 5,735,179 deaths, reported to WHO. We used the Health Belief Model as a conceptual framework, which has largely been tested empirically to predict preventive health behaviour, focusing on the relationship between health behaviour on COVID-19 prevention. This data contains the questionnaire that we used in this research. The data contains questionnaire related to measuring Community Perception and COVID-19 Preventive using the Health Belief Model in Indonesia: Structural Equation Model Analysis and the data can be opened with Microsoft Excel.
Methods
This is a cross sectional study using google form with structured survey questionnaires. The answers were using five-points Likert scale: 1 (strongly disagree), 2 (disagree), 3 (neutral), 4 (agree), 5 (strongly agree). The questionnaire was developed using various references from reputable journal and validated questionnaire from Ministry of Health Indonesia. Data were collected through WhatsApp, Line, and Telegram in summer 2021. In term to expand the coverage throughout Indonesia, social media influencer was also asked to distribute the google form through Twitter and Instagram. The respondents who participated in this study were people between the ages of 15-64 years old and Indonesian citizens. It took 20 -25 minutes to complete the form. Respondents signed the informed consent prior to completing it. The data were analysed by using the Covariance Based- Structural Equation Model (SEM) analysis. It was performed using Lisrel version 8.8. Descriptive statistics are presented as numbers and percentages for individual characteristics and bar charts to describe perceptions and behaviour. Descriptive statistic was performed using SPSS version 27 and presented using MS. Excel.
Usage notes
The data can be opened with Microsoft Excel.