Dear Malcom,
I am not aware of that procedure. Can you explain a little bit more how
this work? I would like to hear more on that because I teach statistics
and I could consider teaching that procedure in my courses.
What do you mean with "complex regression analysis" and "a suite of
statistics to evaluate the p-values"?
Best,
Manuel
On 02/03/2011 11:26 a.m., malcolm McCallum wrote:
Much better result would be to find the probability for each of several
statistical hypothesis given my data, but that is not possible through a p
value.
Yes it is possible. You use multiple hypotheses in complex regression analyses,
and then you use a suite of statistics to evaluate the p-values.
On Wed, Mar 2, 2011 at 7:41 AM, Manuel Spínola<mspinol...@gmail.com> wrote:
Dear list members,
I think there is a confusion about hypothesis testing that Jane was
referring to in the original post. We are moving away from her questions.
Hypothesis testing as some are considering in some posts is an aim of
inferential statistics, is not the same as testing scientific hypothesis.
Scientific hypothesis and statistical hypothesis are 2 different things.
You can test a scientific hypothesis without the use of statistics.
Regarding to the use and usefulness of p values you can find the following
article interesting:
Douglas J. Johnson. 1999. The insignificance of statistical significance
testing. Journal of Wildlife Management, 63(3):763--772.
As far as I know the p values is the probability of obtaining the observed
results or more extreme results given that the specific hypothesis (usually
a null a hypothesis) is true. Not a very interesting result in most
observational studies.
Best,
Manuel
On 01/03/2011 10:50 a.m., Matt Chew wrote:
Ecology without hypotheses has been dismissed (sometimes derided) as
natural
history, but even natural history requires one hypothesis. Reporting an
observation requires>0 confidence that an observation is meaningful, can
be
communicated, and can be interpreted. There are also tacit hypotheses
inherent in scale, including the duration, extent and complexity of
natural
history observations.
Hypothesis testing is a particularly relevant topic in US ecology at the
moment because choices made in establishing the NEON program involve
numerous hypotheses about ecosystem identity, composition, extent and
location, the relevance of potential instrumentation and particular
scales.
However, the term 'hypothesis' is absent from NEON's website (
http://www.neoninc.org ). Explicit hypothesis testing done under NEON
auspices will be subject to an array of tacit hypotheses, none of which
have
been articulated (or, it seems, even considered) by NEON's creators and
promoters. Any supposedly non-hypothetical work conducted under NEON will
face the same challenge.
Matthew K Chew
Assistant Research Professor
Arizona State University School of Life Sciences
ASU Center for Biology& Society
PO Box 873301
Tempe, AZ 85287-3301 USA
Tel 480.965.8422
Fax 480.965.8330
mc...@asu.edu or anek...@gmail.com
http://cbs.asu.edu/people/profiles/chew.php
http://asu.academia.edu/MattChew
--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspin...@una.ac.cr
mspinol...@gmail.com
Teléfono: (506) 2277-3598
Fax: (506) 2237-7036
Personal website: Lobito de río<https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS<http://www.icomvis.una.ac.cr/>
--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspin...@una.ac.cr
mspinol...@gmail.com
Teléfono: (506) 2277-3598
Fax: (506) 2237-7036
Personal website: Lobito de río
<https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
