Re: Power Analysis for Multiple Regression and Indifference
- From: "Ben-Bard" <benhoen@xxxxxxxxxxxxx>
- Date: 11 Oct 2006 10:54:18 -0700
Got it Bob. Didn't know it was possible. I look forward to reading
your response in sci.stat.math.
Reef Fish wrote:
Ben-Bard wrote:
AAAArrrrrrrgggh! You have separate-posted the same problem and
the same question in all THREE sci.stat.* newsgroups.
I had already responded to it in sci.stat.math.
In situations like this in the future, you should CROSS-POST your
identical post in all three groups instead of separate post the same
three different times.
-- Reef Fish Bob.
I am hoping someone can describe a method that will allow me to
establish an appropriate sample size for the test I am
undertaking...Any advice would be very appreciated.
I will be constructing a test where I am trying to determine if home
transaction values are affected by an environmental condition it can
see. A fairly small percentage (15-20%) of the sample of homes will
have a view of the condition. I will first need to control for all
other characteristics of the home, such as number of acres, square
feet, type of exterior (roughly 20 controlled variables). In so doing
I have received an adjusted r-squared of roughly .81. Then to the
model I add the variables of interest, distance from and visibility of
the condition. I hope to find that view of the condition is
statistically significant, and has its confidence intervals inside the
zone of indifference (aka it is equivalent to zero). The zone of
indifference will be +/- 3 or 4%.
I have experimented with PASS, and have not found the correct construct
to do a power analysis. I suspect it is there, but I have not found
it.
Any Ideas?
other info: Sample mean $102,000, SD $52,000, Covaried Standard Dev
$25,000.
.
- References:
- Power Analysis for Multiple Regression and Indifference
- From: Ben-Bard
- Re: Power Analysis for Multiple Regression and Indifference
- From: Reef Fish
- Power Analysis for Multiple Regression and Indifference
- Prev by Date: Re: Power Analysis for Multiple Regression and Indifference
- Next by Date: correlating binary variables
- Previous by thread: Re: Power Analysis for Multiple Regression and Indifference
- Next by thread: correlating binary variables
- Index(es):
Relevant Pages
|