overview
opinions
audiences
consumers
questions
chronology |
overview
This profile considers opinion polling and audience measurement
(sizes, demographics and consumption patterns). It supplements
the Internet Metrics &
Statistics guide, the Marketing
guide and other resources on this site.
The following pages cover -
- opinion
polls - and other social statistics mechanisms for identifying
values and behaviour
- audiences
- the art of identifying who is listening, reading or
viewing.
- consumers
- identifying what is being purchased (and, as importantly,
what is being used) and why
- questions
- a discussion of questions about online and offline
surveys
- chronology
- landmarks in opinion polling and audience measurement.
making sense of figures
As starting points for considering some of the figures
we recommend Darrell Huff's How To Lie With Statistics
(New York: Norton 1993), which hasn't been substantially
updated since its first appearance in the early 1950s
but remains a classic. John Paulos' A Mathematician
Reads The Newspaper (New York: Anchor 1996) is a
similarly lighthearted look at the use and abuse of mathematics
in the mass and specialist media. Joel Best's Damned
Lies & Statistics: Untangling Numbers From The Media,
Politicians & Activists (Berkeley: Uni of California
Press 2001) is harder going but perhaps more valuable.
Ian Hacking's The Taming of Chance (Cambridge:
Cambridge Uni Press 1990), Theodore Porter's
The Rise of Statistical Thinking, 1820-1900 (Princeton:
Princeton Uni Press 1988), Statistics on the Table:
The History of Statistical Concepts and Methods (Cambridge:
Harvard Uni Press 1999) and The History of Statistics:
The Measurement of Uncertainty Before 1900 (Cambridge:
Belknap Press 1988) by Stephen Stigler offer historical
introductions to methodologies, concepts such as the 'average
man' and the statistical worldview. The Lady Tasting
Tea: How Statistics Revolutionized Science in the Twentieth
Century (San Francisco: Freeman 2001) by David Salsburg
is thinner but perhaps more accessible for non-specialists.
For New Zealand see A History of Statistics in New
Zealand (Wellington: Bateson 1999) edited by H S
Roberts and featuring comments such as
Working
with a statistician is like eating a steak with a dog
under the table. You eat all the good bits yourself
and give the dog the grisly bits and he'll bite your
leg if you don't.
next page (opinion
polling and behaviour)
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