Researchers’ Use of Statistics in Creative and Qualitative Disciplines

Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 81)

Abstract

The aim of this chapter is to open up and explore a little-researched area of statistics education. We investigate how academics and postgraduate students use quantitative approaches to carry out research in creative and qualitative disciplines, such as music, design and art. We describe our method of interviewing 19 participants by email, indicate respondents’ research contexts and the role that statistical techniques played in their research. We discuss how interviewees familiarised themselves with quantitative methods and what assistance they received and would have liked to receive. We investigate the researchers’ epistemological views underpinning their methodological approaches. Finally, we develop an interpretive tool for situating research approaches where the home discipline is not usually associated with quantitative methods. The findings raise important issues about the training and institutional support of researchers in these fields.

Keywords

Statistical support for research Music Creative arts Epistemology E-mail interviews Thematic analysis 

References

  1. Biggs, J., Kember, D., & Leung, D. (2001). The revised two factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71, 133–149.CrossRefGoogle Scholar
  2. Boyatzis, R. (1998). Transforming qualitative information: Thematic analysis and code development. London, UK: Sage.Google Scholar
  3. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.CrossRefGoogle Scholar
  4. Butt, J. (2002). Playing with history: The historical approach to music performance. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  5. Carey, C., & Matlay, H. (2010). Creative disciplines education: A model for assessing ideas in entrepreneurship education? Education + Training, 52(8/9), 694–709.Google Scholar
  6. de la Harpe, B., & Peterson, F. (2008). A model for holistic studio assessment in the creative disciplines. ATN Assessment Conference 2008 Proceedings. Retrieved from http://ojs.ml.unisa.edu.au/index.php/atna/article/view/339/238
  7. Fielding, N., & Schreier, M. (2001). Introduction: on the compatibility between qualitative and quantitative research methods. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 2(1). Retrieved from http://www.qualitative-research.net/index.php/fqs/article/view/965
  8. Garfinkel, H. (1967). Studies in ethnomethodology. Cambridge, UK: Prentice Hall.Google Scholar
  9. Gordon, S. (2004). Understanding students’ experiences of statistics in a service course. Statistics Education Research Journal, 3(1), 40–59. Retrieved from http://www.stat.auckland.ac.nz/serj
  10. Gordon, S., Petocz, P., & Reid, A. (2007). Teachers’ conceptions of teaching service statistics courses. International Journal for the Scholarship of Teaching and Learning, 1(1). Retrieved from http://www.georgiasouthern.edu/ijsotl/v1n1/gordon_et_al/IJ_Gordon_et_all.pdf
  11. Gordon, S., Petocz, P., & Reid, A. (2009). What makes a ‘good’ statistics students and a ‘good’ statistics teacher in service courses. The Montana Mathematics Enthusiast, 6(1/2), 25–39. Retrieved from http://www.math.umt.edu/TMME/vol6no1and2/
  12. Gordon, S., Reid, A., & Petocz, P. (2010). Educators’ conceptions of student diversity in their classes. Studies in Higher Education, 35(8), 961–974.CrossRefGoogle Scholar
  13. Harraway, J. (2010). Statistics for postgraduates and researchers in other disciplines: case studies and lessons learned. In C. Reading (ed.), Proceedings of the Eighth International Conference on Teaching Statistics (ICOTS8). Retrieved from http://www.stat.auckland.ac.nz/~iase/publications/icots8/ICOTS8_6C3_HARRAWAY.pdf
  14. Liu, L., Lapum, J., Fredericks, S., Yau, T., & Micevski, V. (2013). Music as an interpretive lens: Patients’ experiences of discharge following open-heart surgery. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 14(1). Retrieved from http://www.qualitative-research.net/index.php/fqs/article/view/1812/3485
  15. MacGillivray, H. (2010). Abstract for session 6C: Statistics training for researchers in other disciplines. In Scientific Programme for the Eighth International Conference on Teaching Statistics (ICOTS 8). Retrieved from http://icots8.org/session.php?s=6C
  16. Marton, F., & Booth, S. (1997). Learning and awareness. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
  17. Marton, F., & Säljö, R. (1976). On qualitative differences in learning: I. Outcome and process. British Journal of Educational Psychology, 46, 4–11.CrossRefGoogle Scholar
  18. Mason, M. (2010). Sample size and saturation in PhD studies using qualitative interviews. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 11(3). Retrieved from http://www.qualitative-research.net/index.php/fqs/article/view/1428/3027
  19. McNiff, S. (1998). Art-based research. London: Jessica Kingsley Publisher.Google Scholar
  20. McNiff, S. (2003). Creating with others: The practice of imagination in life, art, and the workplace. Boston: Shambhala Publications.Google Scholar
  21. Petocz, P., Gordon, S., & Reid, A. (2012). Towards a method for research interviews using e-mail. In C. S. Silva (Ed.), Online research methods in urban and planning studies (pp. 70–85). Hershey, PA: IGI Global.CrossRefGoogle Scholar
  22. Petocz, P., & Reid, A. (2010). On becoming a statistician: A qualitative view. International Statistical Review, 78(2), 271–286.CrossRefGoogle Scholar
  23. Reid, A., & Petocz, P. (2002). Students’ conceptions of statistics: A phenomenographic study. Journal of Statistics Education, 10(2). Retrieved from www.amstat.org/publications/jse/v10n2/reid.html
  24. Reid, A., Petocz, P., & Gordon, S. (2010). University teachers’ intentions for introductory professional classes. Journal of Workplace Learning, 22(1/2), 67–78.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Mathematics Learning CentreThe University of SydneySydneyAustralia
  2. 2.Sydney Conservatorium of MusicThe University of SydneySydneyAustralia
  3. 3.Department of StatisticsMacquarie UniversitySydneyAustralia

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