On Thu, 24 Aug 2000, Ken Reed wrote in part:
KR> > One variable has 4 categories (agree-neutral-disagree, don't know).
> >
DB> Are you trying to say that you have one such variable, and your other
> > variables are otherwise described; or that you have a number of such
> > variables and you want
Its not optimal to think about this
as analogous to a fixed-effects ANOVA
with 2000 levels of the explanatory.
Rather, a random-effects model is the
better approach.
The described application boils down
to a nominal logistic regression variance
components model. Workplaces are random.
The
Donald Burrill <[EMAIL PROTECTED]> wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
> Clarification(s), please:
>
> On Wed, 23 Aug 2000, Ken Reed wrote:
>
> > I'm trying to test whether a variable measures a group-level property,
> > and so I'm looking for an analog to eta-squared, i
Clarification(s), please:
On Wed, 23 Aug 2000, Ken Reed wrote:
> I'm trying to test whether a variable measures a group-level property,
> and so I'm looking for an analog to eta-squared, intra-class correlation
> etc for nominal or ordinal data.
Do you have a particular group-level property i
I'm trying to test whether a variable measures a group-level property, and
so I'm looking for an analog to eta-squared, intra-class correlation etc for
nominal or ordinal data.
I have data comprising 2000 workplaces, within samples of individuals drawn
from each (n=20,000).
One variable has 4 ca
