Attribute Data Gage R&R - Queries of data from a system

Bev D

Heretical Statistician
Staff member
Super Moderator
#11
Until it's known that the same queries will return the same responses every time (if that's what's supposed to be happening), there's no point in looking at what operators are doing. Some part of this has to be controlled in order for any type of experiment to yield useful results.
it all depends on the data, the databases and what a priori knowledge you have. I have started several projects with the 'operator entry' side since I knew their was considerable judgment to the categories and so if the categorization was unreliable it didn't matter if the queries were reliable...
on the other hand I've also had projects where the database was redundant and queries were 'ad hoc' and 'known' to not match but the data was not judgment based and so was more likely to be relatively reliable. In these cases I started at the query end...

it all depends.
 
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Jim Wynne

Staff member
Admin
#12
it all depends on the data, the databases and what a priori knowledge you have.
Which was my point, at least indirectly. Nonetheless, there still must be an element of control somewhere. If we know that a properly-formed query will return consistent results, then we can look at the effect of operators. On the other hand, if we know that operators are well-trained in constructing queries we can test for the quality of the database and/or the programming. One or the other must be controlled before results will make any sense. We need to identify the null hypothesis, in other words.
 
B

Benjamin28

#13
"screwed up"? I guess you haven't been following the threads on operator error and their causes...
I like the referral to operator error threads :lol: you're right, it's process error;)

The sentence was just my way of being facetious and saying I would try and keep it simple. It would seem that the areas where variation could occur are relatively limited and so I would attempt to locate where that variation is coming from, or if it exists, before trying to measure how much variation there is between users.
 
H

hom_er

#14
Thank you all.
Maybe a Gage R&R isn't the appropriate word for the study. Based on the study set up, I hope to find 2 things...1) can I consistenly get the same results from the database and 2) are the operators well-trained to create queires and pull data.
 

Bev D

Heretical Statistician
Staff member
Super Moderator
#15
Which was my point, at least indirectly. Nonetheless, there still must be an element of control somewhere. If we know that a properly-formed query will return consistent results, then we can look at the effect of operators. On the other hand, if we know that operators are well-trained in constructing queries we can test for the quality of the database and/or the programming. One or the other must be controlled before results will make any sense. We need to identify the null hypothesis, in other words.
controlling one of the factors, hmmm. but doesn't a properly designed R&R study provide you information on both of these separately and combined just liek any full factorial experiment? Aren't we as a profession trying to get away from holding factors constant and varying one thing at a time? the challenge as always to design the factors and levels appropriately but *most* R&R studies are pretty easy to design that way.
 
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