Publication:
Photovoice Method Trends, Status, And Potential For Future Participatory Research Approach

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dc.contributor.authorMohd Iqbal Mohd Nooren_US
dc.contributor.authorVoon-Ching Limen_US
dc.contributor.authorAmira Mas Ayu Amir Mustafaen_US
dc.contributor.authorAmirah Azzerien_US
dc.contributor.authorMohd Hafiz Jaafaren_US
dc.contributor.authorNursyaidatul Kamar Md Shahen_US
dc.contributor.authorNur Syafiqah Hussinen_US
dc.contributor.authorMohd Azim Zainalen_US
dc.contributor.authorMuhammad Fuad Abdullahen_US
dc.date.accessioned2024-05-29T02:02:24Z
dc.date.available2024-05-29T02:02:24Z
dc.date.issued2022
dc.date.submitted2023-2-9
dc.descriptionVol 22 No 1 (page: 252-266)en_US
dc.description.abstractIn the last decade, researchers from around the world have shown deep interest in using photovoice as a method of analysis in scientific research. This might be due to the participatory strength of the method that acts as a bridge to connect researcher and community by balancing scientific research and mitigating action. The purpose of this research is to synthesize the available research on the photovoice method using the Scientometric method. This article explores the research landscape, key topics, and developments of the photovoice method based on the 1252 document data retrieved from the Web of Science Core Collection dated from 1997 to 2019. The results show that the interest in using this method is significantly high in the United States, Canada, and the United Kingdom as they are the major leaders in publication contributions. A Scientometric analysis for Document co-citation analysis was applied and 15 research clusters were identified. This paper reviews the main characteristics of 6 most important clusters and their contribution to the photovoice method. The outcome of this study contributes to academia, industry practitioners and policymakers by providing an understanding of overall trends, status, and potential research questions of study in this domain.en_US
dc.identifier.citationMohd Noor, M. I., Voon-Ching Lim, Amira Mas Ayu Amir Mustafa, Amirah Azzeri, Mohd Hafiz Jaafar, Nursyaidatul Kamar Md Shah, Nur Syafiqah Hussin, Mohd Azim Zainal, & Muhammad Fuad Abdullah. (2022). PHOTOVOICE METHOD TRENDS, STATUS AND POTENTIAL FOR FUTURE PARTICIPATORY RESEARCH APPROACH. Malaysian Journal of Public Health Medicine, 22(1), 252-266. https://doi.org/10.37268/mjphm/vol.22/no.1/art.1519en_US
dc.identifier.doi10.37268/mjphm/vol.22/no.1
dc.identifier.epage266
dc.identifier.issn1675-0306
dc.identifier.issue1
dc.identifier.spage252
dc.identifier.urihttps://mjphm.org/index.php/mjphm/article/view/1519
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85131732988&origin=resultslist&sort=plf-f&src=s&sid=061a2c4156f8ab7f4ba59bbf6bff26e9&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22%09Photovoice+Method+Trends%2C+Status%2C+And+Potential+For+Future+Participatory+Research+Approach%22%29&sl=108&sessionSearchId=061a2c4156f8ab7f4ba59bbf6bff26e9
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10213
dc.identifier.volume22
dc.language.isoen_USen_US
dc.publisherMalaysian Journal of Public Health Medicine (MJPHM)en_US
dc.relation.ispartofMalaysian Journal of Public Health Medicineen_US
dc.subjectCiteSpace, Document Co-citation, keyword analysis, knowledge map, scientometric study, visualization analysisen_US
dc.titlePhotovoice Method Trends, Status, And Potential For Future Participatory Research Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication

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