Michael Wood: publications, etc

michael.wood@port.ac.uk or michaelwoodslg@gmail.com


Making sense of statistics: a non-mathematical approach (Book published by Palgrave, 2003)


Simple knowledge: why academic knowledge should be simplified


Brief notes on statistics: old version, new version


Brief notes on research methods (without the pointless jargon)


Other teaching notes, slides, etc


A few conference presentations


Sceptical Academic Blog


Times Higher Scholarly Web column (26 June, 2014) on my blog post about the closure of Cambridge University


Resample.xlsx: a spreadsheet for resampling, bootstrapping, etc


Other software


Videos on statistics


Ancestral memoirs: grandfather, great aunt


arXiv.org, SSRN, ResearchGate



Selected articles

Peer review, fake knowledge, and the quest for simple and useful science (2022).  Research Outreach.


If knowledge were simpler we would all be wiser (2021). v4 on ResearchGate, v3 on SSRN.


Beyond journals and peer review: towards a more flexible ecosystem for scholarly communication (2021), https://arxiv.org/abs/1311.4566v2.


Simple Methods for Estimating Confidence Levels, or Tentative Probabilities, for Hypotheses Instead of P Values, Methological Innovations, 2019.


How sure are we? Two approaches to statistical inference. (2018). arXiv:1803.06214 [stat.OT].


Making statistical methods more useful: some suggestions from a case study. Sage Open, vol. 3, no. 1, 2013. Spanish version.


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


I’ll make it simple. Times Higher, 30 August 2002.


Simplifying Academic Knowledge: Opportunities, Benefits and Barriers (2015). https://ssrn.com/abstract=2687046 or click here.


The role of simulation approaches in statistics. Journal of Statistics Education, 13(3), http://www.amstat.org/publications/jse/v13n3/wood.html, 2005.


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


The reliability of peer reviews of papers on information systems. Journal of Information Science, 30(1), 2-11 (with Martyn Roberts and Barbara Howell, 2004). click here


The journal of everythingTimes Higher, 22 April, 2010.


Citation games: comments on the paper by Annette RisbergNotework: Newsletter of the Standing Conference on Organization and Symbolism, May 2005, 26-8.


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


The Pros and Cons of Using Pros and Cons for Multi-Criteria Evaluation and Decision Making (2009).  https://ssrn.com/abstract=1545189 or http://dx.doi.org/10.2139/ssrn.1545189


Are “qualitative” and “quantitative” useful terms for describing research? Methodological Innovations Online5(1) 56-71 (with Christine Welch, 2010). Copy in SSRN


Anecdote, fiction and statistics - the three poles of empirical methodology. Click here.


Prospecting research: knowing when to stop. Marketing Letters, 12(4), 299-313 (with Richard Christy, 2001). click here


Sampling for possibilities. Quality & Quantity, 33, 185-202 (with Richard Christy, 1999). click here


Researching possibilities in marketing. Qualitative Market Research, 2(3), 189-196 (with Richard Christy, 1999). click here


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


Computer packages as cognitive paradigms: implications for the education of accountants. Journal of Accounting Education, 15(1), 53-69 (with Philip Cahill and James Hicks, 1997). click here


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


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


values, confidence intervals or confidence levels for hypotheses? (2014).  arXiv:0912.3878v5 [stat.ME]


Bootstrapping confidence levels for hypotheses about regression models (2012).  arXiv:0912.3880v4 [stat.ME] 


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


The use of resampling for estimating control chart limits. Journal of the Operational Research Society, 50, 651-659 (with Mike Kaye and Nick Capon, 1999). click here


User-friendly statistical concepts for process monitoring. Journal of the Operational Research Society, 49(9), 976-985 (with Nick Capon and Mike Kaye, 1998). click here