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Essay / Research Paper Abstract
A 5 page paper answering 4 general statistics questions associated with social research. Topics include correlation vs causation; interpreting correlation; dealing with outliers in regression analysis; and evaluating the wisdom of researcher-coding of open-ended questions in a qualitative study. Bibliography lists 5 sources.
Page Count:
5 pages (~225 words per page)
File: CC6_KSstatsRegQu.rtf
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Unformatted sample text from the term paper:
Post to the discussion forum for this session. Are they same thing? Can one have both correlation and causation? Can one have a correlation of data without having causation?
Correlation and causation are so far removed from each other that the mechanics of philosophy has a term for the phrase, "cum hoc ergo
propter hoc (Latin for with this, therefore because of this)" (Correlation implies causation, 2006). In philosophy, this is known as a logical fallacy, which can be illustrated with the
syllogism, "Ice-cream sales are strongly (and robustly) correlated with crime rates. Therefore, ice-cream causes crime" (Correlation implies causation, 2006). Though ice cream sales is correlated with increased crime
rates, certainly they do not cause increased crime. Hot weather generally contributes to increased ice cream sales, and it has been linked to increased crime. Hot weather may
cause both, but (most) people do not become murderous or overcome with an uncontrollable urge to steal a car simply by enjoying ice cream on a hot summer night.
Certainly there can be correlation of data without there being any causation involved. A website seeking to make this point relates snowshoe prices
in Alaska with puppy growth in New York (Correlation does not equal Causation, n.d.). If tracking both over the course of several weeks shows a strong correlation between the
two, they are nonetheless only correlated. Even if the two sets of data plot out to perfectly correlate with each other, it is obvious that neither has any influence
on the other. Puppies will grow regardless of external conditions that do not threaten their health or safety; snowshoe prices spike twice a year in response to the heavy,
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