Michael
Wood: publications, etc
michael.wood@port.ac.uk
or michaelwoodslg@gmail.com
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Making sense of statistics: a
non-mathematical approach (Book published by Palgrave, 2003) |
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Simple knowledge: why academic knowledge should be simplified |
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Brief notes on statistics: old version, new version |
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Brief notes on
research methods (without the pointless jargon) |
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Other teaching
notes, slides, etc |
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A few
conference presentations |
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Times Higher Scholarly Web column (26 June, 2014) on my blog post about the
closure of Cambridge University |
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Resample.xlsx:
a spreadsheet for resampling, bootstrapping, etc |
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Ancestral memoirs: grandfather,
great aunt |
Selected articles
If
knowledge were simpler we would all be wiser (2021).
Beyond journals and peer review:
towards a more flexible ecosystem for scholarly communication (2021),
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 everything. Times Higher, 22
April, 2010.
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
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
P 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: 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