Publications by Michael Wood (Old version) – New version




Selected journal articles and similar


Wood, Michael. (2013). Making statistical methods more useful: some suggestions from a case study. Sage Open, vol. 3, no. 1.

The above paper has been translated into Spanish and published as:

Wood, Michael. (2014). Potenciar la utilidad de los métodos estadísticos: algunas sugerencias a partir de un estudio de caso. Paradigmas, vol. 6, no. 1. ISSN: 1909-4302, e-ISSN: 2322-8466. 

Mahamed Ismail, N.A., Xu, M.X., Wood, M. and Welch, C. (2013) ‘To share or not to share? Research-knowledge sharing in higher education institution: preliminary results’, Int. J. Information Technology and Management, Vol. 12, Nos. 3/4, pp.169–188.


Wood, Michael. (2010). The journal of everything. Times Higher Education, 22 April, 2010. Click here.


Wood, M., & Welch, C. (2010). Are “qualitative” and “quantitative” useful terms for describing research? Methodological Innovations Online 5(1) 56-71. Copy in SSRN


Wood, M. (2006). Viewpoint: Statistics and management science. Journal of the Operational Research Society, 57(11), 1369‑1370.


Wood, M. (2005). The role of simulation approaches in statistics. Journal of Statistics Education, 13(3), .


Wood, M. (2005). Bootstrapped confidence intervals as an approach to statistical inference. Organizational Research Methods, 8(4), 454‑470.  click here


Wood, M. (2005, May). Citation games: comments on the paper by Annette Risberg. Notework: Newsletter of the Standing Conference on Organization and Symbolism, pp. 26‑27 at (or click here).

Wood, M. (2004). Statistical inference using bootstrap confidence intervals. Significance, Volume 1 (4), 180-182. click here


Wood, M, Roberts, M, & Howell, B. (2004). The reliability of peer reviews of papers on information systems. Journal of Information Science, 30(1), 2-11. click here


Wood, M. (2002, 30 August). I’ll make it simple. Times Higher Education, Click here.


Wood, M. (2002). Maths should not be hard: the case for making academic knowledge more palatable. Higher Education Review, 34(3), 3-19. Click here for a copy.


Wood, M. (2002). Statistical process monitoring in the 21st century. In J. Antony & D. Preece (eds), Understanding, managing and implementing quality: frameworks, techniques and cases (pp 103-119). London: Routledge. click here


Roberts, M., & Wood, M. (2002). The strategic use of computerised information systems by a micro enterprise. Logistics Information Management, 15(2), 115-125.


Wood, M., & Christy, R. (2001). Prospecting research: knowing when to stop. Marketing Letters, 12(4), 299-313. click here


Wood, M. (2001). The case for crunchy methods in practical mathematics. Philosophy of Mathematics Education Journal, 14. click here or here


Wood, M., & Christy, R. (1999). Sampling for possibilities. Quality & Quantity, 33, 185-202. click here


Wood, M., Kaye, M., & Capon, N. (1999). The use of resampling for estimating control chart limits. Journal of the Operational Research Society, 50, 651-659. click here


Christy, R., & Wood, M. (1999). Researching possibilities in marketing. Qualitative Market Research, 2(3), 189-196. click here


Wood, M., Capon, N., & Kaye, M. (1998). User-friendly statistical concepts for process monitoring. Journal of the Operational Research Society, 49(9), 976-985. click here


Wood, M. (1997). The notion of the customer in total quality management. Total Quality Management, 8(4), 181-194. click here


Wood, M., Cahill, P., & Hicks, J. (1997). Computer packages as cognitive paradigms: implications for the education of accountants. Journal of Accounting Education, 15(1), 53-69. click here


Roberts, M., & Wood, M. (1997). The use of computerized information systems to gain strategic competitive advantage: the case of a start-up manufacturing company. Logistics Information Management, 10(4), 178-183.


Wood, M. (1997). Computer packages as a substitute for statistical training? in J. B. Garfield, & G. Burrill (eds), Research on the role of technology in teaching and learning statistics: Proceedings of the 1996 IASE Round Table Conference, (pp. 267-278). Voorburg, The Netherlands: International Statistical Institute. (ISBN: 90-73592-12-7) (This book is on the web at .)


Preece, D., & Wood, M. (1995). Quality Measurements: who is using the sums and for what purpose? Human Resource Management Journal, 5(3), 41-55. click here


Wood, M. (1994). Statistical methods for monitoring service processes. International Journal of Service Industry Management, 5(4), 53-68. click here