You would have to look at the definitions of how the original scores were assigned to see use of absolute value would be appropriate.
Then you may get to spend some time with algebra and equation fitting all of the scoring systems into equivalent measure. Consider an example of standardizing fuel efficiency between 3 studies, one scores on miles per gallon, one uses kilometers per liter (these two at least sound similar) and a third that uses passenger miles per ton. That last one is going to involve some digging and might find that the first two scales involved gasoline (or diesel or similar fuel) and the last involved coal. In some cases such as this third you might find that scoring systems derived from collecting different information to create the score really are not amenable to any direct comparison.
Got it. Thank you for the suggestion!
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ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
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