Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach
Purpose – This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach – A total of 412 participants from Bangalore, I...
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| Format: | Article |
| Language: | English |
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College of Public Health Sciences, Chulalongkorn University
2021-06-01
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| Series: | Journal of Health Research |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JHR-07-2020-0244/full/pdf?title=assessing-perceptions-of-covid-19-self-protective-measures-a-structural-equation-modeling-sem-approach |
| _version_ | 1797759996289613824 |
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| author | Sangeeta Mehrolia Subburaj Alagarsamy Jeevananda S |
| author_facet | Sangeeta Mehrolia Subburaj Alagarsamy Jeevananda S |
| author_sort | Sangeeta Mehrolia |
| collection | DOAJ |
| description | Purpose – This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach – A total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details. Findings – A structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction. Originality/value – The TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs. |
| first_indexed | 2024-03-12T18:52:29Z |
| format | Article |
| id | doaj.art-4dc5818d413040ccbe9d0a9bd2834213 |
| institution | Directory Open Access Journal |
| issn | 0857-4421 2586-940X |
| language | English |
| last_indexed | 2024-03-12T18:52:29Z |
| publishDate | 2021-06-01 |
| publisher | College of Public Health Sciences, Chulalongkorn University |
| record_format | Article |
| series | Journal of Health Research |
| spelling | doaj.art-4dc5818d413040ccbe9d0a9bd28342132023-08-02T07:06:23ZengCollege of Public Health Sciences, Chulalongkorn UniversityJournal of Health Research0857-44212586-940X2021-06-0135430731710.1108/JHR-07-2020-0244660391Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approachSangeeta Mehrolia0Subburaj Alagarsamy1Jeevananda S2School of Business and Management, Christ University, Bangalore, IndiaSchool of Business and Management, Christ University, Bangalore, IndiaSchool of Business and Management, Christ University, Bangalore, IndiaPurpose – This study aimed to develop scales to assess perceptions of coronavirus disease 2019 (COVID-19) self-protective measures (SPMs) and examine the psychometric properties based on the theory of planned behavior (TPB). Design/methodology/approach – A total of 412 participants from Bangalore, India, randomly volunteered to participate in this research. The questionnaire consisted of items related to the TPB scales and demographic details. Findings – A structural equation model showed a reasonable model fit. In total, 70% of the individuals' behavioral intentions of following COVID-19 SPMs were predicted by perceived benefits, barriers, social norms and social influence. Participants' age impacted on perceived benefits and perceived social influence and individuals' behavioral intentions of following COVID-19 SPMs, with a 13.6% difference in model prediction. Originality/value – The TPB can be used as a strong psychometric property to assess behavioral determinants of COVID-19 SPMs.https://www.emerald.com/insight/content/doi/10.1108/JHR-07-2020-0244/full/pdf?title=assessing-perceptions-of-covid-19-self-protective-measures-a-structural-equation-modeling-sem-approachcovid-19self-protective measurestheory of planned behaviorperceived social normssocial influence |
| spellingShingle | Sangeeta Mehrolia Subburaj Alagarsamy Jeevananda S Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach Journal of Health Research covid-19 self-protective measures theory of planned behavior perceived social norms social influence |
| title | Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach |
| title_full | Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach |
| title_fullStr | Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach |
| title_full_unstemmed | Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach |
| title_short | Assessing perceptions of COVID-19 self-protective measures: a structural equation modeling (SEM) approach |
| title_sort | assessing perceptions of covid 19 self protective measures a structural equation modeling sem approach |
| topic | covid-19 self-protective measures theory of planned behavior perceived social norms social influence |
| url | https://www.emerald.com/insight/content/doi/10.1108/JHR-07-2020-0244/full/pdf?title=assessing-perceptions-of-covid-19-self-protective-measures-a-structural-equation-modeling-sem-approach |
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