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      The mentoring relation as an interpersonal process in EDUCATE: A qualitative case study of mentor–mentee perspectives

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          Abstract

          The EDUCATE research-based accelerator employs academic mentors to support entrepreneurs to use research in the development of educational technology. Mentorship is a common feature of business accelerators, yet only a few empirical studies have shown or analysed the relationship and how it influences business success outcomes. In EDUCATE, the mentorship adopts a unique approach by focusing the relationship on goals and evidence-based knowledge exchange concerning educational technology. Examining previous literature on mentorship and exploring the novel features of EDUCATE, a qualitative case study was conducted using a semi-structured interview with a mentor and mentee within the programme. Although this was a limited study of only one dyad mentor−mentee relationship, the research elicits findings that may be of interest for future research. The study highlights the importance of the interpersonal process of mentorship, and advances understanding of what constructs effective mentorship relationships for accelerators. Findings suggest that from the perspective of the mentee, the psychosocial function forms a big component of the relationship. Concepts such as trust, decision-making, personality and self-efficacy arise in the analysis. In contrast, the mentor focuses on career functions and aspects of the programme such as frequency of interaction and knowledge about research. In addition, structured goals within the relationship seem to help the research activities expected in the accelerator. In conclusion, mentorship within EDUCATE is key for the programme, the psychosocial functions in the relationship are critical for entrepreneur satisfaction and, consequently, the integration of research and practice. Constructs such as trust and personality are worth exploring as components within training of the psychosocial aspect of mentors’ activity, as opposed to the traditional view of expert and experienced mentors, often acquired in business accelerators. The analysis of the interpersonal process is of importance to further understand the definition of ‘good mentor’ within formal mentoring programmes for evaluation purposes.

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          Most cited references 74

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          Knowledge Transfer: A Basis for Competitive Advantage in Firms

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              Combining qualitative and quantitative research within mixed method research designs: A methodological review

              Objectives It has been argued that mixed methods research can be useful in nursing and health science because of the complexity of the phenomena studied. However, the integration of qualitative and quantitative approaches continues to be one of much debate and there is a need for a rigorous framework for designing and interpreting mixed methods research. This paper explores the analytical approaches (i.e. parallel, concurrent or sequential) used in mixed methods studies within healthcare and exemplifies the use of triangulation as a methodological metaphor for drawing inferences from qualitative and quantitative findings originating from such analyses. Design This review of the literature used systematic principles in searching CINAHL, Medline and PsycINFO for healthcare research studies which employed a mixed methods approach and were published in the English language between January 1999 and September 2009. Results In total, 168 studies were included in the results. Most studies originated in the United States of America (USA), the United Kingdom (UK) and Canada. The analytic approach most widely used was parallel data analysis. A number of studies used sequential data analysis; far fewer studies employed concurrent data analysis. Very few of these studies clearly articulated the purpose for using a mixed methods design. The use of the methodological metaphor of triangulation on convergent, complementary, and divergent results from mixed methods studies is exemplified and an example of developing theory from such data is provided. Conclusion A trend for conducting parallel data analysis on quantitative and qualitative data in mixed methods healthcare research has been identified in the studies included in this review. Using triangulation as a methodological metaphor can facilitate the integration of qualitative and quantitative findings, help researchers to clarify their theoretical propositions and the basis of their results. This can offer a better understanding of the links between theory and empirical findings, challenge theoretical assumptions and develop new theory.
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                Author and article information

                Journal
                rfa
                Research for All
                UCL Press (UK )
                2399-8121
                16 February 2021
                : 5
                : 1
                : 19-35
                Affiliations
                UCL Institute of Education, UK
                Founder of SwopBots, UK
                Author notes
                Corresponding author: Email: santiago.garcia@ 123456ucl.ac.uk
                Article
                10.14324/RFA.05.1.04
                Copyright © 2021 De Ossorno Garcia and Doyle

                This is an open-access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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                References: 76, Pages: 18
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