scholarly journals Mixed Methods Development of a Leadership Framework for Generation Y Bedside Nurses

2019 ◽  
Vol 12 (1) ◽  
pp. 124
Author(s):  
Theresa Anne Manson ◽  
Maureen Nokuthula Sibiya ◽  
Zerish Zethu Nkosi
Keyword(s):  
Mixed Methods ◽  
Generation Y ◽  
Mixed Methods Research ◽  
Point Of Care ◽  
Academic Research ◽  
Nursing Profession ◽  
Innovative Technology ◽  
Sustainable Leadership ◽  
Statistical Measures ◽  
Leadership Framework

This study addresses the global leadership crisis in healthcare, which leaves an unprepared nursing workforce who are unable to achieve acceptable patient outcomes. Generation Y nurses will soon form the majority cohort of nurses; they therefore represent the future of the nursing profession worldwide. Their leadership ability will no doubt impact on healthcare globally. There has been a lack of academic research focusing on the leadership needs of Generation Y nurses, specifically bedside nurses who are closest to the point of care. There is also a lack of mixed methods research in this field. This research answers the question: How can the nursing profession prepare Generation Y nurses to become effective leaders? A multistage mixed methods advanced framework design was used, with data integration occurring at multiple levels. Data was collected on Generation Y nurses working at a hospital in Saudi Arabia, through the Values in action (VIA)-24 strengths survey, the American Organization of Nurse Executives (AONE) leadership survey on ‘The leader within’, and semi-structured face-to-face interviews. Data analysis included statistical measures and thematic analysis using Tesch’s coding. The aim of the study was to develop a sustainable leadership framework for generation Y bedside nurses, through data collected from them and for them. This study shows that Generation Y nurses have a clear leadership vision, and strongly desire leadership education that is creative, innovative, technology-driven and fun. It is vital that bedside nurses are given the opportunity to meet their full leadership potential, which will contribute towards the much needed transformation of healthcare globally.

scholarly journals Failure of the “Gold Standard”: The Role of a Mixed Methods Research Toolkit and Human-Centered Design in Transformative WASH

2021 ◽  
Vol 15 ◽  
pp. 117863022110183
Author(s):  
Jasmine Burton ◽  
Devika Patel ◽  
Grace Landry ◽  
Sarah M Anderson ◽  
Emma Rary
Keyword(s):  
Mixed Methods ◽  
Gold Standard ◽  
Mixed Methods Research ◽  
Participatory Design ◽  
Design Theory ◽  
Academic Research ◽  
Public Health Research ◽  
Impact Measurement ◽  
Human Centered Design ◽  
Sanitation And Hygiene

From preventing cholera and diarrhea by reducing exposure to human waste, to reducing transmission of COVID-19 through handwashing, water, sanitation and hygiene (WASH) can save lives. Numerous global health initiatives have been created to combat the spread of infectious diseases. However, according to the Sanitation and Hygiene Fund, “decades of under investment in sanitation and hygiene have made this sector the weakest link in our efforts to achieve the [Sustainable Development Goals (SDGs)].” There appear to be various reasons for the lag in global attention to, funding toward, and innovation around WASH-related diseases. Firstly, WASH is comprised of three interrelated components, water, sanitation, and hygiene, each of which has its own subset of indicators, priorities, and infrastructure, thus making streamlined communications and impact measurement within the sector incredibly complex. Secondly, WASH is a field that bridges many sectors, and there has historically been a lack of understanding of where responsibility lies to consistently fund and execute WASH interventions, programming, and policymaking. Additionally, public health research and funding tend to favor evaluations using randomized controlled trials (RCTs), which are often referred to as the “gold standard.” RCTs, like all single evaluative methods, have limitations which may not effectively capture the complexity of WASH interventions and their subsequent multi-sectoral outcomes. In some cases “it may be infeasible (or unethical) to randomize communities to a [WASH] intervention” which would prohibit the research from reaching the current “gold standard” threshold for academic rigor and subsequent funding. A new concept called “Transformative WASH” has recently emerged in the WASH sector as a result of three RCTs and calls for a “comprehensive package of WASH interventions” to effectively improve health and social outcomes. We believe that the current definition of the “gold standard” in academic research is failing the WASH sector and does not align with “Transformative WASH.” Rather, the “gold standard” should instead be a mixed methods research toolkit that utilizes Human-Centered Design (HCD) practices, and proxy methods such as “participatory design” or “Behavior Centered Design theory” to better design and evaluate WASH interventions.

Accelerating Mixed Methods Research With Natural Language Processing of Big Text Data

2021 ◽  
pp. 155868982110211
Author(s):  
Tammy Chang ◽  
Melissa DeJonckheere ◽  
V. G. Vinod Vydiswaran ◽  
Jiazhao Li ◽  
Lorraine R. Buis ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Mixed Methods ◽  
Natural Language ◽  
Language Processing ◽  
Mixed Methods Research ◽  
Innovative Technology ◽  
Education Economics ◽  
Text Data ◽  
Textual Data ◽  
Promising Solution

Situations of catastrophic social change, such as COVID-19, raise complex, interdisciplinary research questions that intersect health, education, economics, psychology, and social behavior and require mixed methods research. The pandemic has been a quickly evolving phenomenon, which pressures the time necessary to perform mixed methods research. Natural language processing (NLP) is a promising solution that leverages computational approaches to analyze textual data in “natural language.” The aim of this article is to introduce NLP as an innovative technology to assist with the rapid mixed methods analysis of textual big data in times of catastrophic change. The contribution of this article is illustrating how NLP is a type of mixed methods analysis and making recommendations for its use in mixed methods research.

A Theoretical Framework for Mixed Methods Research with Canadian Families Living with Low Income

2019 ◽  
Vol 11 (3) ◽  
pp. 255-276 ◽  
Author(s):  
Carla Ginn ◽  
◽  
Karen Benzies ◽  
Leslie-Anne Keown ◽  
Shelley Raffin Bouchal ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Low Income ◽  
Mixed Methods Research ◽  
Theoretical Framework

Planning and Conducting a Large-Scale Mixed Methods Research Study: Research Team Experiences and Recommendations

2018 ◽  
Vol 10 (1) ◽  
pp. 283-295
Author(s):  
Katrin Niglas ◽  
◽  
Meril Ümarik ◽  
Maarja Tinn ◽  
Ivor Goodson ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Large Scale ◽  
Research Team ◽  
Research Study ◽  
Study Research

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

2019 ◽  
Author(s):  
Tarun Khanna ◽  
Karim R. Lakhani ◽  
Shubhangi Bhadada ◽  
Nabil Khan ◽  
Saba Kohli Davé ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research

Change, Challenges, and Mixed Methods

2017 ◽  
Author(s):  
Jeasik Cho
Keyword(s):  
Qualitative Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Evaluation Criteria ◽  
Scientific Research ◽  
Evaluation Strategy ◽  
Validity Criteria ◽  
Research Questions ◽  
The Way

This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.

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