Development of cyber wellness indicators among Thai older persons: Mixed method research.
This mixed methods Ph.D. study aims to evaluate the structure of a new five component Cyber Wellness model from research with 320 participants from a multi-stage random sampling method. This model includes five components found from critical literature review: 1. Cyber Use, 2. Cyber Citizenship, 3....
| Publicado en: | Educational Gerontology Vol. 51; no. 5; pp. 501 - 518 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184763276&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184763276 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03601277 EGR jtl: Educational Gerontology issn: 03601277 maglogo: N pubinfo: dt: May2025 vid: 51 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 184763276 179660570 184763276 184763276 10.1080/03601277.2024.2401840 184763276 ppf: 501 ppct: 17 formats: tig: atl: Development of cyber wellness indicators among Thai older persons: Mixed method research. aug: au: Noiklueb, Chakcharat Boonlue, Surapon Srikaew, Daruwan affil: Faculty of Industrial Education and Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand sug: subj: Data Security In Old Age Human Thailand Multimethod Studies Male Female Middle Age Aged Aged, 80 and Over Random Sample Summated Rating Scaling Coefficient alpha Descriptive Statistics Factor Analysis Wellness In Old Age Chi Square Test Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: This mixed methods Ph.D. study aims to evaluate the structure of a new five component Cyber Wellness model from research with 320 participants from a multi-stage random sampling method. This model includes five components found from critical literature review: 1. Cyber Use, 2. Cyber Citizenship, 3. Cyber Ethical Relationship, 4. Cyber Safety and 5. Cyber Rights. Participants responded to a 5-point Likert scale with X questions. In our analysis, we found an overall Cronbach's alpha was.938, with individual component alphas ranging from.733 to.889. Statistical analyses included; mean, percentage, standard deviation, and confirmatory factor analysis. We found that each model component demonstrated significance at the.01 level, with factor loadings ranging from.71 to.96, with the highest factor loading for being Cyber Ethical Relationship. This means that improved cyber ethical relationships among older individuals could greatly enhance their overall wellness. Our confirmatory factor analysis results showed Chi-Square (χ2) = 64.00, df = 50, p =.088, goodness of fit index (GFI) =.97, adjusted goodness of fit index (AGFI) =.95, root mean square error of approximation (RMSEA) =.030. These results indicate that the chi-square value significantly differs from zero at the.05 level, supporting our main hypothesis that the measurement model aligns with empirical data and that the Cyber Wellness model developed in this study can serve as a foundational concept for designing learning programs that enhance Cyber Wellness among Thai older people using the identified indicators to create micro-learning modules suitable for their needs. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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