Comparison of attraction/repulsion measures

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Discussion Overview

The discussion centers on the statistical and mathematical analysis of attraction and repulsion measures between items, as observed in different experimental conditions. Participants explore methods to quantify changes in these measures across a large dataset and between specific subsets of items.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Exploratory

Main Points Raised

  • One participant suggests using a paired-comparison t-test or ANOVA to analyze the data, noting that the specifics of the experiment, such as time dependencies, could complicate the analysis.
  • The original poster provides detailed matrices representing attraction/repulsion measures under different conditions and seeks methods to quantify the closeness of these matrices to one another.
  • Another participant questions the relevance of the discussion to quantum physics, indicating a potential interest in the underlying principles or applications related to the topic.

Areas of Agreement / Disagreement

Participants have not reached a consensus on the best statistical approach to analyze the data, and multiple viewpoints regarding the methodology remain. The relevance to quantum physics is also questioned, suggesting differing perspectives on the topic's scope.

Contextual Notes

The discussion lacks detailed assumptions about the nature of the attraction/repulsion measures and the specific conditions under which they were measured. There are also unresolved mathematical steps regarding how to quantify the closeness of the matrices.

fer2000
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Hello everybody!

I have a large set of items and, two-by-two, there exists some kind of attraction/repulsion that I have measured.
Under different circumstances this attraction/repulsion changes.
So, what kind of statistical/mathematical procedure can I use to measure whether the changes (for the whole set) are “large/small”, as well as if a subset of them (lets say the first ten items) the attraction is larger than in another subset (lets say the last ten items)?.

Thanks in advance
 
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First, you should provide a much more detailed description of your experiment. My initial thought would be a paired-comparison t-test; possibly an ANOVA approach. Much depends on what you do -- if time is involved, then the analysis can be tricky because of possible autocorrelations. Details, details, details.
Regards,
Reilly Atkinson
 
Hello, first of all, thanks for your answer.
The situation is as follows,

My data are comprised in different matrices (each of the situations provide that information).
First one
x 1.3 -1.5 . . . . . .
1.3 x 1.2 . . . . . .
-1.5 1.2 x . . . . . .
. . . . . . . . . . . . . .

Second one
x 1.1 1.3 . . . . . .
1.1 x -0.2 . . . . . .
1.3 -0.2 x . . . . . .
. . . . . . . . . . . . . . .


Third one
x -0.1 0.3 . . . . . .
-0.1 x 0.4 . . . . . .
0.3 0.4 x . . . . . .
. . . . . . . . . . . . . . .


All of them are symmetrical and the diagonal does not make sense (I could write any number). Note that the dimension will be around 300 x 300 for each matrix.

How can I say if first one is closer (and how closer is) to second one than to third one (as well as any other combination)?
I do not mind the lapse of time between each of the situations (that provide each of the matrices), but an external condition that is the same for all the pairs that generate the matrix.


Thanks again.
 
Just out of curiosity, what is the connection of this with quantum physics?
 

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