A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research

Misunderstandings about qualitative methods, whether phenomenological or otherwise, are prevalent in social science research. Such misunderstandings leave researchers, reviewers, and editors less equipped to conduct or evaluate this method. Evaluation of phenomenology is especially complicated given...

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Main Authors: Theodore T Bartholomew, Eileen E Joy, Ellice Kang, Jill Brown
Format: Article
Language:English
Published: SAGE Publishing 2021-08-01
Series:Methodological Innovations
Online Access:https://doi.org/10.1177/20597991211040063
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spelling doaj-c16d70b61b6f442b98c19e4aa12f4de72021-08-18T21:34:21ZengSAGE PublishingMethodological Innovations2059-79912021-08-011410.1177/20597991211040063A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological researchTheodore T Bartholomew0Eileen E Joy1Ellice Kang2Jill Brown3Department of Psychology and Department of Africana Studies, Scripps College, Claremont, CA, USADepartment of Educational Studies, Purdue University, West Lafayette, IN, USADepartment of Educational Studies, Purdue University, West Lafayette, IN, USADepartment of Psychology, Creighton University, Omaha, NE, USAMisunderstandings about qualitative methods, whether phenomenological or otherwise, are prevalent in social science research. Such misunderstandings leave researchers, reviewers, and editors less equipped to conduct or evaluate this method. Evaluation of phenomenology is especially complicated given the different variants that exist and the need for flexibility within these studies. Methodologists have created guides for conducting specific variants of phenomenology; however, these do not provide clear guidance as to what is an adequate sample in phenomenology. The purpose of this systematic review was to help improve implementation of phenomenological methods by exploring sample issues as they relate to study quality. We implemented an explanatory sequential mixed methods design to test relationships between samples and studies’ quality then deepen our understanding of these findings with a focused content analysis. First, we reviewed and coded 200 manuscripts following the PRISMA method. Larger samples were associated with lower quality and studies aligned with a specific phenomenological method tended to be of higher quality. Second, we identified two cases from the studies reviewed and subjected them to deductive qualitative content analysis to identify features that demonstrate quality. Findings are discussed with respect to implications for phenomenological methods in social and health sciences.https://doi.org/10.1177/20597991211040063
collection DOAJ
language English
format Article
sources DOAJ
author Theodore T Bartholomew
Eileen E Joy
Ellice Kang
Jill Brown
spellingShingle Theodore T Bartholomew
Eileen E Joy
Ellice Kang
Jill Brown
A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
Methodological Innovations
author_facet Theodore T Bartholomew
Eileen E Joy
Ellice Kang
Jill Brown
author_sort Theodore T Bartholomew
title A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
title_short A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
title_full A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
title_fullStr A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
title_full_unstemmed A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research
title_sort choir or cacophony? sample sizes and quality of conveying participants’ voices in phenomenological research
publisher SAGE Publishing
series Methodological Innovations
issn 2059-7991
publishDate 2021-08-01
description Misunderstandings about qualitative methods, whether phenomenological or otherwise, are prevalent in social science research. Such misunderstandings leave researchers, reviewers, and editors less equipped to conduct or evaluate this method. Evaluation of phenomenology is especially complicated given the different variants that exist and the need for flexibility within these studies. Methodologists have created guides for conducting specific variants of phenomenology; however, these do not provide clear guidance as to what is an adequate sample in phenomenology. The purpose of this systematic review was to help improve implementation of phenomenological methods by exploring sample issues as they relate to study quality. We implemented an explanatory sequential mixed methods design to test relationships between samples and studies’ quality then deepen our understanding of these findings with a focused content analysis. First, we reviewed and coded 200 manuscripts following the PRISMA method. Larger samples were associated with lower quality and studies aligned with a specific phenomenological method tended to be of higher quality. Second, we identified two cases from the studies reviewed and subjected them to deductive qualitative content analysis to identify features that demonstrate quality. Findings are discussed with respect to implications for phenomenological methods in social and health sciences.
url https://doi.org/10.1177/20597991211040063
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