Posted by
Omar Farook on
Aug 04, 2006; 6:56am
URL: http://spssx-discussion.165.s1.nabble.com/the-accuracy-of-the-device-tp1070062p1070064.html
Dear Dr. Marta,
Many thanks for the prompt help.
I have certain questions with respect to article 1 , are the standard deviation of repeated measurements on the same subject is the measurement error of that subject?
What is the meaning of the following phrase?
measurement error depends on the size of the measurement
And finally , if there is no relation between the sd and the mean , could we said that the device is reliable?
Many thanks in advance.
Omar.
Marta García-Granero <
[hidden email]> wrote: Hi Omar
OF> My colleague would like to examine accuracy or the
OF> reliability of a device , the device measuring teeth's strength.
OF> He has 50 teeth , he will measure the teeths strength
OF> today and after 2 or 3 days he will do the same process by using
OF> the same device , to examine the accuracy of the device. Could
OF> we use Paired-Samples T Test if the data follow the normal
OF> distribution or we should use Two-Related-Samples Tests if the
OF> data non normal?
Neither test you mention will answer your question (measurement
error), since both focus on whether there is a bias (systematic
difference between the two days). I suppose you want statistics to
verify the repeatability of a device (the ammount of random
variation). A p-value (obtained by any test) will not answer the
question. Take a look at these links:
http://bmj.bmjjournals.com/cgi/content/full/313/7059/744http://bmj.bmjjournals.com/cgi/content/full/313/7048/41http://www-users.york.ac.uk/~mb55/meas/Time ago I wrote some code for the methods discussed in those appers.
Let me know if you are interested in having it.
--
Regards,
Dr. Marta García-Granero,PhD mailto:
[hidden email]
Statistician
---
"It is unwise to use a statistical procedure whose use one does
not understand. SPSS syntax guide cannot supply this knowledge, and it
is certainly no substitute for the basic understanding of statistics
and statistical thinking that is essential for the wise choice of
methods and the correct interpretation of their results".
(Adapted from WinPepi manual - I'm sure Joe Abrahmson will not mind)
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