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 |
|
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 |
|
|
Ancestral memoirs: grandfather,
great aunt |
Selected articles
Anecdote,
fiction, and statistics: The three poles of empirical methodology. Possibility
Studies & Society, 2024. https://doi.org/10.1177/27538699231222379.
If knowledge were
simpler we would all be wiser (2023). https://ssrn.com/abstract=3911835.
Beyond journals
and peer review: towards a more flexible ecosystem for scholarly communication
(2023), https://arxiv.org/abs/1311.4566v3.
Peer review, fake knowledge, and the quest for simple and useful science
(2022). Research
Outreach.
Simple Methods for
Estimating Confidence Levels, or Tentative Probabilities, for Hypotheses
Instead of P Values, Methodological
Innovations, 2019. https://doi.org/10.1177/2059799119826518.
How sure are we? Two approaches to statistical inference. (2018). arXiv:1803.06214 [stat.OT].
P values,
confidence intervals or confidence levels for hypotheses? (2014). arXiv:0912.3878v5 [stat.ME]
Making statistical methods more useful: some suggestions from a case
study. Sage Open, vol. 3, no. 1, 2013. https://doi.org/10.1177/2158244013476873.
Spanish version.
Bootstrapping confidence
levels for hypotheses about regression models (2012). arXiv:0912.3880v4 [stat.ME]
The
journal of everything. Times Higher, 22 April 2010.
Are “qualitative”
and “quantitative” useful terms for describing research? Methodological
Innovations Online, 5(1) 56-71 (with Christine Welch, 2010). https://journals.sagepub.com/doi/pdf/10.4256/mio.2010.0010.
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
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
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.
Citation
games: comments on the paper by Annette Risberg. Notework:
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
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
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: Routledge. click 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