A Pragmatic Definition of the Concept of Theoretical Saturation

Low, Jacqueline

doi:10.1080/00380237.2018.1544514

Cited by 223 publications

(152 citation statements)

References 25 publications

Supporting

Mentioning

130

Contrasting

Unclassified

Order By: Relevance

“…Only 17 of Gurriny’s 76 staff were interviewed; however, they were representative of the diversity of the workforce Indigeneity, professions and roles. We acknowledge that there can never be complete analysis of data or that our explanatory theory or conceptual models can ever be absolute [42] but consider that the rich data provided has led to a conceptually robust identification of the core strategies that support a strong Indigenous PHC workforce development.…”

Section: Discussionmentioning

confidence: 99%

Working well: strategies to strengthen the workforce of the Indigenous primary healthcare sector

Jongen

McCalman

Campbell

et al. 2019

BMC Health Serv Res

View full text Add to dashboard Cite

BackgroundThe capacity of the Indigenous primary healthcare (PHC) sector to continue playing a crucial role in meeting the health needs of Aboriginal and Torres Strait Islander Australians is in large part reliant on the skills, motivation and experience of its workforce. While exhibiting many workforce strengths, the sector faces significant challenges in building and maintaining a strong and stable workforce. Drawing on data from one Aboriginal Community Controlled Health Service (ACCHS), this study reports what is working well and what could be improved to strengthen the Indigenous PHC sector workforce.MethodsUsing grounded theory methods, interviews with 17 ACCHS staff from a range of organisational positions were transcribed, coded and analysed. This paper focuses on the strategies identified that contribute towards strengthening the Indigenous PHC workforce.ResultsFour overarching strategies for Indigenous PHC workforce strengthening were identified. These were Strengthening Workforce Stability, Having Strong Leadership, Growing Capacity, and Working Well Together. A range of enabling factors at the macro, community, organisational and individual levels were also identified.ConclusionIndigenous PHC services are already implementing many important workforce-development strategies that are having a positive impact on the sector. There are also several persistent challenges which need to be addressed through action at organisational and structural levels. Approaches to workforce strengthening in Indigenous PHC should be tailored to local needs to ensure they address the unique workforce challenges experienced in different contexts.

show abstract

Section: Discussionmentioning

confidence: 99%

Working well: strategies to strengthen the workforce of the Indigenous primary healthcare sector

Jongen

McCalman

Campbell

et al. 2019

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…More specifically the process involved pre-meeting collaborative writing and intensive literature review leading to a discussion paper and structure for the meeting. During the meeting, discussions within the group and with other members of EDUsummIT enabled critical reflection to the point of theoretical saturation (Low 2019). In this way, the meeting was able to synthesize and analyse previous research to produce a report (Webb et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Machine learning for human learners: opportunities, issues, tensions and threats

Webb

Fluck

Magenheim

et al. 2020

Education Tech Research Dev

View full text Add to dashboard Cite

Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesis and analysis of previous research, examines the implications of recent developments in machine learning for human learners and learning. In this article we first compare deep learning in computers and humans to examine their similarities and differences. Deep learning is identified as a sub-set of machine learning, which is itself a component of artificial intelligence. Deep learning often depends on backwards propagation in weighted neural networks, so is non-deterministic—the system adapts and changes through practical experience or training. This adaptive behaviour predicates the need for explainability and accountability in such systems. Accountability is the reverse of explainability. Explainability flows through the system from inputs to output (decision) whereas accountability flows backwards, from a decision to the person taking responsibility for it. Both explainability and accountability should be incorporated in machine learning system design from the outset to meet social, ethical and legislative requirements. For students to be able to understand the nature of the systems that may be supporting their own learning as well as to act as responsible citizens in contemplating the ethical issues that machine learning raises, they need to understand key aspects of machine learning systems and have opportunities to adapt and create such systems. Therefore, some changes are needed to school curricula. The article concludes with recommendations about machine learning for teachers, students, policymakers, developers and researchers.

show abstract

“…The number of conducted interviews (n = 18) in our study was determined on the basis of theoretical saturation. According to Low (2019), theoretical saturation is achieved when the respondent's answers do not provide new elements or knowledge. In our study, the saturation point was reached at approximately the 15 th interview.…”

Section: Data Collectionmentioning

confidence: 99%

Cultural Diversity in Nursing Teams: Triggers, Team Process and Contingencies / Kulturelle Vielfalt in Pflegeteams: Triggers, Teamprozesse und Kontext

Umans

Edfors

Jakobsson

2020

International Journal of Health Professions

View full text Add to dashboard Cite

IntroductionThe study explored cultural diversity in nursing teams and the internal and external conditions under which cultural differences represent an asset or a liability for these teams.MethodsA qualitative design with content analysis was employed. In total, 18 interviews were conducted with nurses and assistant nurses with experience of working in culturally diverse teams in three distinct clinical settings.ResultsThree domains emerged in the study analysis: triggers, team process and contingencies. Each one encompassed a number of themes related to culturally diverse nursing team processes, triggers of team processes and context-specific contingencies, which represent the complexity of culturally diverse nursing team functioning.Discussion/implicationsThe study suggests how cultural differences in nursing teams can be managed and further explored from within the team and by individuals leading those teams, taking into account the disablers and enablers of their functioning.

show abstract

A Pragmatic Definition of the Concept of Theoretical Saturation

Cited by 223 publications

References 25 publications

Working well: strategies to strengthen the workforce of the Indigenous primary healthcare sector

Working well: strategies to strengthen the workforce of the Indigenous primary healthcare sector

Machine learning for human learners: opportunities, issues, tensions and threats

Cultural Diversity in Nursing Teams: Triggers, Team Process and Contingencies / Kulturelle Vielfalt in Pflegeteams: Triggers, Teamprozesse und Kontext

Contact Info

Product

Resources

About