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Study Identifies Factors That Could Lead to Cancelled Subscriptions
On 20-Nov-06, at 5:29 AM, Chris Beckett wrote:
Just briefly, in response to Heather's points,
1. "Removing a key factor, at best, makes the validy [validity]
of a study questionable."
- No it doesn't. The survey doesn't pretend to have measured
all the factors in content selection preference - but most of
them. The factors measured were validly measured. (Bad brakes and
worn tyres increase the likelihood of car crashes - I don't need
to know how bad the brakes are to know that worn tyres increase
the likelihood of car crashes.)
Interesting, Chris, however I disagree.
Since we're using car comparison, let's say we remove a key
variable when investigating the likelihood that cars will work
well for us - for example, the engine.
We might do a study of consumer preferences to determine car
purchase decisions that looks at a number of admittedly important
variables - such as cost, safety, colour - but if we overlook
something that is a key variable to the consumer - does the car
have an engine?, then our study is likely to be a poor predictor
of consumer behavior, isn't it?
"Importance to the collection" is to library purchasing decisions
what "does it have an engine?" is to the person purchasing a car.
If this key variable is missing, all the others are irrelevant.
best,
Heather Morrison
http://poeticeconomics.blogspot.com