Hello,
I have a question regarding the definition of probability. If I
understand correctly, probability may be defined using just axioms. However,
my textbook also uses a relative frequency definition, in which a
probability is defined as being the proportion of times an outcome occurs in
The effect of N on alpha is minimal unless the assumptions for alpha are not met. If you have a multidimensional construct then the alpha will tend to go down as the sample size decreases. At leaset I have observed this in monte carlo analyses.
At 12:08 PM 2/28/01 +0100, you wrote:
>How is
Hi Alex,
Can you provide the definition of probability under each way? In other words,
can you explain a little more on each way of defining probability? As it is,
some of them are clear (e.g., Frequentist theory) and others are not clear to
me. Thanks. Siddeek
Alex Yu wrote:
Probability
On Tue, 27 Feb 2001, Allyson Rosen wrote:
I need to compare two means with unequal n's. Hayes (1994) suggests using a
formula by Satterthwaite, 1946. I'm about to write up the paper and I can't
find the full reference ANYWHERE in the book or in any databases or in my
books. Is this an
Re probability/independence, I've found that the most
effective way to communicate this concept to my students (College of
Education, not heavily math-oriented) is the following:
Consider the student population of your university. Perhaps there
is a fairly equal split of males and females in the
I don't have an answer, but I'm very glad this question was asked because
I'm having a similar problem. I have 14 grids, values from which are to be
used as the dependent variable in a regression. Each 6x6 grid consists of
36 observation points. Their are some fairly strong spatial
Linear mixed models (aka
multilelvel models, random
coefficient models, etc) as
implemented by many software
products: SAS PROC MIXED,
MIXREG, MLwiN, HLM, etc.
You might want to look at some
links on my website
http://sites.netscape.net/segregorich/index.html
Steve Gregorich
Obviously
Hi Professor Granaas!
The observations that your student is collecting is indeed a problem.
Because they are correlated (being collected over time), the standard
errors for the regression approach that he is planning to use are
probably too low creating type I error problems. You
On Wed, 28 Feb 2001 12:08:55 +0100, Nicolas Sander
[EMAIL PROTECTED] wrote:
How is Cronbach's alpha affected by the sample size apart from questions
related to generalizability issues?
- apart from generalizability, "not at all."
Ifind it hard to trace down the mathmatics related to this
These both sound to me as if multi-level models would be appropriate to
handle the type of data to which you are referring.
Look at this site for some basic info on multi-level models (MLM):
http://www.ioe.ac.uk/multilevel/
Interested in learning more... then dowload this classic text on
In article [EMAIL PROTECTED],
Richard A. Beldin [EMAIL PROTECTED] wrote:
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I have long thought that the usual textbook discussion of
In article [EMAIL PROTECTED],
James Ankeny [EMAIL PROTECTED] wrote:
Hello,
I have a question regarding the definition of probability. If I
understand correctly, probability may be defined using just axioms. However,
my textbook also uses a relative frequency definition, in which a
probability
Title: Hello
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