I acquired the original set of readings through recommendations from my Oxford tutor. I added others from my own experience, especially browsing authentic bookstores and open stack libraries. I combined them into a set for teaching a university course in statistical methods– Readings for quantitative analysis and interpretation in biocultural science, human biology, anthropology
The course was an empirical introduction to analytical approaches to anthropological data. Basically, I wanted real-world approaches to learn critical thinking– sciencing. The course was designed for students without a strong numerical or an introductory statistics background. The daily newspaper was itself a source for analysis and discussion.
There may be more recent texts to base a course upon, however, almost nothing supersedes the classics. I think it’s Ingle (or Bevridge) that always has me laughing out loud.
Related previous posts are
Proximate goals were:
- read the newspaper correctly.
- understand the basis of readings assigned in university anthropology courses and in research.
- ask anthropological questions of a statistician.
- communicate to others what you’ve learned, in words and pictures, using computer assistance.
We began with:
- What are facts and figures? and
- learn descriptive, inferential, and exploratory analysis of ‘data’.
In the process, we examined:
- why anthropologists would want to display, test, qualify, and quantify ideas and
- the ethics of generating, presenting, and using facts.
Aitchison, J. & JAC Brown 1966 (or 1963) The Lognormal Distribution. Cambridge UP.
Ahlgren, Andrew and Peter C. Jurs. 1986 Multivariate Analysis. (letters) Science Pattern recognition used to investigate multivariate data in analytical chemistry. Science 6 June 1986 232: 1219-1224 [DOI: 10.1126/science.3704647] (in Articles),
see also, Smith, AB, 3rd, AM Belcher, G Epple, PC Jurs, and B Lavine. Computerized pattern recognition: a new technique for the analysis of chemical communication. Science 12 April 1985 228: 175-177 [DOI: 10.1126/science.3975636] (in Articles)
Ayers, AJ 1965 Chance. Scientific American 213:44-54.
Beveridge, W.I.B. 1957 The Art of Scientific Investigation. Rev ed. NY: WW Norton. NY: Random House Trade Paperbacks. # ISBN-10: 0393062872, # ISBN-13: 978-0393062878
Book Description: In The Art of Scientific Investigation, originally published in 1950, W.I.B. Beveridge explores the development of the intuitive side in scientists. The author’s object is to show how the minds of humans can best be harnessed to the processes of scientific discovery. This book therefore centers on the “human factor”; the individual scientist. The book reveals the basic principles and mental techniques that are common to most types of investigation. Professor Beveridge discusses great discoveries and quotes the experiences of numerous scientists. “The virtue of Mr. Beveridge’s book is that it is not dogmatic. A free and universal mind looks at scientific investigation as a creative art. . . .” The New York Times
Burns, D.W., M.L. Parsons, L.L. Herbaugh, and R.T. Staten. 1985 The Migrating Weevil: A Challenge for ICP-AES and Chemometrics. Anal. Chem. 57:1048-1052.
Campbell, RC 1974 Statistics for Biologists. 2nd ed. Cambridge UP. ISBN 0-521-09836-x 2
Carroll, Lewis Alice’s Adventures, both volumes and the The Hunting of the Snark, an Agony in Eight Fits
Chakraborty, Ranajit, Kenneth M. Weiss, and William J. Schull. 1980 A Test for Randomness of the Occurrence of a Disease Trait in Familial or Other Similar Ordered Sequences of Epidemiological Data. Proc. Natl. Acad. Sci. (USA) 77:2974-2978.
Chamberlin, T. C. (Thomas Crowder) 1890 The Method of Multiple Working Hypotheses: With this method the dangers of parental affection for a favorite theory can be circumvented. Science (old series) v15 p92. Reprinted, Science 7 May 1965: 754-759. http://www.sciencemag.org/cgi/reprint/148/3671/754.pdf
T. C. Chamberlin’s Method of Multiple Working Hypotheses: An encapsulation for modern students, by L. Bruce Railsback http://www.gly.uga.edu/railsback/railsback_chamberlin.html
Chamberlin, writing near the turn of the nineteenth century, advises naturalists to invent and/or test several testable hypotheses for each question that they investigate. This method helps avoid the usual “parental affection” theorists develop when testing only one idea at a time. Moreover, he suggests, a good interpretation of a complex phenomenon may result in the retention of more than one hypothesis. For example, the formation of the Great Lakes probably resulted from a combination of preglacial stream erosion, glacial ice erosion, and crustal deformation, not any one of these processes alone. The advantages of the multiple-working-hypothesis method include increased objectivity, flexibility in response, and improved ability to recognize one’s own errors and ignorance. Drawbacks of the method are difficulty in explanation (there’s so much more to explain) and an increased delay in settling on and reporting findings. It was reprinted in Science in 1965 (v. 148, p. 754-759) and this version includes a bibliographical note that clears up the publication dates and versions. The Related Website http://serc.carleton.edu/resources/1192.html links to an online version of the paper.
Cleveland, William S., Persi Diaconis, Robert McGill. 1982 Variables on Scatterplots Look More Highly Correlated when the Scales Are Increased. Science 216:1138-1141.
Conover, WJ 1980 Practical Nonparametric Statistics. 2nd ed. John Wiley & Sons. ISBN 0-471-02867-3
Croney, J.E. 1977 An Anthropometric Study of Young Women Fashion Students Including a Factor Analysis of Body Measurements. Man 12:484-496.
DeLuca, Stephan J., Kent J. Voorhees, and Emory W. Sarver. 1986 Pyrolysis– Mass Spectrometry Methodology Applied to Southeast Asian Environmental Samples for Differentiating Digested and Undigested Pollens. Analytical Chemistry 58:2439-2442.
Fields, Lawrence D. and Stephen J. Hawkes. 1986 Data Compression Technique for Tables of Measurements. Analytical Chemistry 58:1593-1595.
Hayslett, HT, Jr 1968 Statistics Made Simple. Doubleday.
Hodges, JL Jr., David Krech, Richard S. Crutchfield 1975 StatLab: An Empirical Introduction to Statistics. NY McGraw-Hill. ISBN0-07-029134-9 [text for class]
Hogben, Lancelot 1937 Mathematics, the Mirror of Civilization. Mathematics for the Million. NY: WW Norton & Co., Inc. In Shapley, Rapport, & Wright 1954:141-152.
Holman, HH 1969 Biological Research Method: Practical Statistics for Non-Mathematicians. 2nd ed. Hafner Pub Co (NY) (Oliver & Boyd in UK).
Huck, Schuyler W. & Howard M. Sandler. 1979 Rival Hypotheses. Harper & Row. ISBN 0-06042975-5
Huff, Darrell 1954 How to Lie with Statistics. WW Norton.
Huxley, TH 1863 We Are All Scientists. Darwiniana. D. Appleton-Century Co., Inc. In Harlow Shapley, Samuel Rapport, and Helen Wright, eds. 1954 A Treasury of Science. 3rd rev. ed. London: Angus & Robertson. pp. 14-19.
Ingle, Dwight J. 1958 Principles of Research in Biology and Medicine. JB Lippincott Co.
Landes, Kenneth K. 1951 Scrutiny of the Abstract. AAPG Bull., Vol. 35, No. 7 (July 1951), 1660 and then in Geophysics, Vol. 17, No. 3 (July 1952), 645.
Levi, Primo 1984 The Periodic Table. NY: Schocken Books. ISBN 0-8052-3929-4
Lie, Rolf W. 1980 Minimum Number of Individuals from Osteological Samples. Norw. Arch. Rev. 13:24-30.
McCain, Garvin and Erwin M. Segal 1969 The Game of Science. Belmont, California: Brooks/Cole Pub Co.
Miller, M. Clinton, III ed. 1978 Mainland’s Elementary Medical Statistics. (1963 by Donald Mainland). Biometry Imprint Series, vol. 3. Biometry Imprint Series Press. Distributed by University Microfilms, Ann Arbor, MI. ISBN- 0-8357-0349-5
Moroney, M.J. 1956 Facts from Figures. Penguin Books. 3rd and rev ed.
Pelto, Pertti J. and Gretel H. Pelto 1978 Anthropological Research: the Structure of Inquiry. 2nd ed. Cambridge Cambridge University Press.
Pirsig, Robert M. 1974 Zen and the Art of Motorcycle Maintenance. Bantam Books.
Platt, John R. 1964 Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others. Science. 16 October 1964 Volume 146, Number 3642 (146): 347-353.
Shapley, Harlow, Samuel Rapport, and Helen Wright, eds. 1954 A Treasury of Science. 3rd rev. ed. London: Angus & Robertson.
Siegel, Sidney 1956 Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill. ISBN 07-057348-4
Snedecor, George W. & William G. Cochran 1967 Statistical Methods. 6th ed. Ames: Iowa State U Press. ISBN 0-8138-1560-6 [This is a statistics classic but based on agronomy experiments, which I didn’t find as useful to me as the medical or human ecology examples.]
Sokal, Robert & F. James Rohlf 1981 Biometry. 2nd ed. WH Freeman & Co. San Francisco. ISBN 0-7167-1254-7
Stewart, Ian. 1986 Meaning from Numbers. Nature 324:519-520.
Tanur, Judith M & Mosteller, Kruskal, Link, Pieters, Rising, & Lehman. 1978 Statistics: A Guide to the Unknown. San Francisco Holden-Day, Inc. 2nd ed. ISBN 0-8162-8605-1. [Evidently, also guides to Biological & Sciences and to Political & Social Issues]
Thomas, David Hurst 1986 Refiguring Anthropology: First Principles of Probability & Statistics Boulder: Waveland Press, ISBN: 0881332232
Tufte, Edward R. 1970. The quantitative analysis of social problems. Reading, Mass: Addison-Wesley Pub. Co. OCLC: 106681
Tufte, Edward R. 1983. The visual display of quantitative information. Cheshire, Conn. (Box 430, Cheshire 06410): Graphics Press.
Tufte, Edward R. 1990. Envisioning information. Cheshire, Conn: Graphics Press. ISBN: 0961392118 9780961392116, OCLC: 82873701
Tufte, Edward R. 1997. Visual explanations: images and quantities, evidence and narrative. Cheshire, Conn: Graphics Press. ISBN: 0961392126 9780961392123, OCLC: 83346412 http://www.edwardtufte.com/
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