Preparing future life science researchers to engage with statistics in research

Authors

  • Bethany White Department of Statistical Sciences, University of Toronto
  • Jastaranpreet Singh Department of Immunology, University of Toronto

DOI:

https://doi.org/10.52041/iase2023.101

Abstract

Life science students who take undergraduate statistics courses will engage with statistics as consumers, and perhaps even producers, of quantitative research throughout their studies and professions. Several years ago, a study was conducted in an undergraduate statistics course at our institution that was designed to improve the quantitative preparation of life sciences students. Although we observed improvements in students’ confidence in their abilities to choose appropriate statistical procedures and to interpret results from the beginning to the end of the course, there were still noticeable gaps in their abilities to do both at the end of the course. A follow-up survey study was recently conducted in the same course (n=164). This paper will highlight results on students’ self- efficacy and abilities to recognize dependency in data and select appropriate statistical procedures. Implications for future quantitative life science course offerings will also be discussed.

References

Allen, B. (2015). Healthy And Unhealthy Statistics: Examining The Impact Of Erroneous Statistical Analyses In Health-Related Research, Electronic Thesis and Dissertation Repository, The University of Western Ontario. 3119. Available at https://ir.lib.uwo.ca/etd/3119/.

ASA. (2018). Overview of Statistics as a Scientific Discipline and Practical Implications for the Evaluation of Faculty Excellence [Position paper]. https://www.amstat.org/asa/files/pdfs/POL- Statistics-as-a-Scientific-Discipline.pdf.

Baker, M. (2016). Reproducibility crisis. Nature, 533(26), 353-66.

Finney, S. J., & Schraw, G. (2003). Self-efficacy beliefs in college statistics courses. Contemporary educational psychology, 28(2), 161-186.

GAISE College Report ASA Revision Committee (2016). Guidelines for Assessment and Instruction in Statistics Education College Report 2016. https://www.amstat.org/education/guidelines-for- assessment-and-instruction-in-statistics-education-(gaise)-reports.

Gardenier, J. and Resnik, D. (2002). The Misuse of Statistics: Concepts, Tools, and a Research Agenda, Accountability in Research: Policies and Quality Assurance, 9(2), 65-74.

Garfield, J. & Ben-Zvi, D. (2007). How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics, International Statistical Review. 75, 3, 372-396.

Lazic, S. E. (2022). Genuine replication and pseudoreplication. Nature Reviews Methods Primers, 2(1), 1-2.

Lazic, S. E. (2010). The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?. BMC neuroscience, 11, 1-17.

Ocaña-Riola, R. (2016). The Use of Statistics in Health Sciences: Situation Analysis and Perspective, Statistics in Biosciences, 8, 204-219.

Sato, S., Omori, Y., Katoh, K., Kondo, M., Kanagawa, M., Miyata, K., Funabiki, K., Koyasu, T., Kajimura, N., Miyosh, T., Sawai, H., Kobayashi, K., Tani, A., Toda, T., Usukura, J., Tano, Y. & Furukawa, T. (2008). Pikachurin, a dystroglycan ligand, is essential for photoreceptor ribbon synapse formation”. Nature neuroscience, 11(8), 923-931.

Tong, L., White, B. J. G., & Singh, J. (2022). Bridging statistics and life sciences undergraduate education. Journal of Biological Education, 1-13.

Weissgerber T. L., Garovic V. D., Milin-Lazovic J. S., Winham S. J., Obradovic Z., Trzeciakowski J. P., Milic, N. M. (2016). Reinventing Biostatistics Education for Basic Scientists. PLoS Biol, 14(4): e1002430.

White, B. J. G., & Singh, J. (2021). Partnering to Prepare Tomorrow’s Life Sciences Researchers [Poster Presentation]. United States Conference on Teaching Statistics (USCOTS). https://www.causeweb.org/cause/uscots/uscots21/th-03-partnering-prepare- tomorrow%E2%80%99s-life-sciences-researchers.

Wild, C. & Pfannkuch, M. (1999). Statistical Thinking in Empirical Enquiry. International Statistical Review, 67(3), 223-265.

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Published

2024-03-29

Conference Proceedings Volume

Section

Topic 1: Fostering Learning in the Current Data Landscape