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Engaging entry level researchers in agriculture in statistical communication and collaboration: why? and how? (English)
MacGillivray, Helen (ed.) et al., Topics from Australian conferences on teaching statistics. OZCOTS 2008‒2012. New York, NY: Springer (ISBN 978-1-4939-0602-4/hbk; 978-1-4939-0603-1/ebook). Springer Proceedings in Mathematics \& Statistics 81, 345-364 (2014).
Summary: The BiometryHub, a statistics research and consulting group in an agricultural science school, has commenced a project to enhance the statistical capacity of graduates in agricultural sciences. The project engages with students undertaking research projects as they are completing their undergraduate degrees and considering their careers, possibly in research. This group is motivated learners focused on delivering outcomes in solving real-life problems, and respond well to opportunities for their broad professional development. The project will help them become familiar with the culture of cross-disciplinary collaboration, an essential component of modern agricultural research.{ }The teaching and learning framework of the project consists of four elements: (1) group workshops in quantitative methods; (2) individual attention from a statistics consultant throughout the research project; (3) targeted guidance with peer-reviewed resources in statistical methods, experimental design and data management specific to the students’ research topics and (4) supervisor and peer support encouraged through the dissemination of ‘good statistics practice’ in the research group hosting a student.{ }This chapter summarises the problems addressed by the project, presents the project framework and discusses performance measures for the project’s elements and potential impact.
Classification: K45 K75 K85 D35 K95 M65 D45
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