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At 07:26 AM 7/25/01 -0400, Teen Assessment Project wrote:
I am using a measure with likert scale items. Original psychometrics
for the measure
included factor analysis to reduce the 100 variables to 20 composites.
However, since the variables are not interval, shouldn't non-parametic
tests be
In a certain process, there are millions of people voting for thousands
of candidates. The top N will be declared winners. But the counting
process is flawed and with probability 'p', a vote will be miscounted.
(it might be counted for the wrong candidate or it might be counted for
a non-existent
At 09:33 AM 7/25/01 -0400, Sanford Lefkowitz wrote:
In a certain process, there are millions of people voting for thousands
of candidates. The top N will be declared winners. But the counting
process is flawed and with probability 'p', a vote will be miscounted.
(it might be counted for the wrong
for a class ... i used an example from moore and mccabe ... a 2 factor
anova case ...
4 levels of factor A ... 4 levels of factor B ... completely randomized
design ... n=10 in each of the 16 cells
now, after the data are stacked so that data are in a column and codes for
the two independent
The answers to your questions depend heavily on structural information
that you almost certainly don't have, else one would not bother to have
arranged a voting process. But consider two very different cases:
A. Voters are absolutely indifferent to candidates: that is, all the
candidates
The case is very much like case B. A relatively small percent of candidates (maybe
about 15%) will have a significant number of votes. A large number of candidates will
have only 1 or 2 votes. It is the case that each voter gets only one vote. It is
possible (but non trivial) to estimate the
perhaps we need for software to have 2 overall options ... show me all the
output
or, in the case of some interaction plots ... find a graphing method ...
using different symbols ... that represent ON the graph ... pairs that are
different from others (ie, any pair of DARK dots means
From: Mark Everingham ([EMAIL PROTECTED])
Subject: variance estimation and cross-validation
Newsgroups: sci.stat.math, sci.stat.edu, sci.stat.consult, sci.math
Date: 2001-07-24 03:14:05 PST
I'm not familiar with your research area, but if I understand your data
correctly you have N image
The following is extracted from one of my webpage. Hope it can help:
--
The issue regarding the appropriateness of ordinal-scaled data in
parametric tests was unsettled even in the eyes of Stevens (1951), the
inventor of the four levels of measurement: As a matter of fact, most of
the
Dennis Roberts wrote:
snip
but, we KNOW that most samples are drawn in a way that is WORSE than SRS ...
thus, essentially every CI ... is too narrow ... or, every test statistic
... t or F or whatever ... has a p value that is too LOW ...
what adjustment do we make for this basic
On Wed, 25 Jul 2001 07:26:19 -0400, Teen Assessment Project
[EMAIL PROTECTED] wrote:
I am using a measure with likert scale items. Original psychometrics
for the measure
included factor analysis to reduce the 100 variables to 20 composites.
However, since the variables are not interval,
On Wed, 25 Jul 2001 09:33:41 -0400, Sanford Lefkowitz
[EMAIL PROTECTED] wrote:
In a certain process, there are millions of people voting for thousands
of candidates. The top N will be declared winners. But the counting
process is flawed and with probability 'p', a vote will be miscounted.
my previous remarks were about other sampling designs. I was comaring valid
complex designs to SRS design and not non-sampling case selection.
dennis roberts wrote:
my hypothesis of course is that more often than not ... in data collection
problems where sampling is involved AND inferences
Thanks to Rich Ulrich for the suggestion below -- that was the direction I
was heading, but there seem to be difficulties. The general problem is
that I have a standard [nxp] data matrix, but (skipping over the scientific
details) some of the values are special, typically 5-20% of them, and I
for a good treatment of this issue ... levels of measurement and statistics
to use ... though, it is not real simple ...
see
ftp://ftp.sas.com/pub/neural/measurement.html
warren sarle of SAS wrote this and, it is excellent
forget about scales and statistics for a moment ... what kinds of
inherent problems related to LICKert items and level of measurement that
create problems would be these too
1. how many response categories are there for AN item??? by the way ...
likert used many types ... including YES ? NO
at THIS level ... i think it a bit presumptuous to think that we
If your items are visually anchored so as to imply equal spacing,
like:
+++++
01234
leastmost
possiblepossible
then one might accept the data as interval-level, on the assumption
that respondents interpret them as such.
here are a few videos of likert ...
http://ollie.dcccd.edu/mgmt1374/book_contents/3organizing/org_process/Likert.htm
_
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
An advertiser purchases online Ad impressions and wants to achieve a
certain reach over a specified period of time. How many impressions
does he have to purchase? The page-per-user distribution is known.
I've published a solution on my web site, at
datashaping.com/internet.shtml. However, I am
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