[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: "testing" a cluster analysis
I agree with Nick's point about the distinct outcomes. I would list
all combinations of 2, 3, 4 ,5, 6, & 7 variables (start with 7). This
is easily done after -contract- and -fillin-. Changing the order of
the variables in the list might be revealing. This approach will also
show you associations: what responses almost always or almost never
appear together. Validation of any "clusters" that you detect would
require that you set aside a validation sample.
Latent class analysis is another approach that might be considered.
On Feb 7, 2007, at 9:59 AM, Nick Cox wrote:
I think Ronán and Ken made excellent points.
I am also queasy about this for quite a different
reason. As I understand it, you have a discrete
outcome space with 2^7 = 128 distinct outcomes.
I am not clear that this lends itself to cluster
analysis, nor would calculating means be what springs
to my mind as natural.
In principle, you lose no information by tabulating the
frequencies of those 128 composite outcomes and sorting
* For searches and help try: