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If it sees something it doesn't like, your issuer can raise your interest rate ― even if the negative item was related to another credit card or loan.
One negative and 12 positive items were assigned to PAS (the score on the negative item being reversed), and one positive and 12 negative items were assigned to NAS (the score on the positive item being reversed).
For the positive items, the point was 0,0,1,2,3,4, while for the negative item, the point was 4,3,2,1,0,0 for "always", "usually", "often", "sometimes", "rarely" and "never", respectively.
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The negative items thought to negatively influence walking included physical disorder, broken windows, and graffiti.
The negative items were reversed so that higher scores reflected more consistenly the view of science as a process of explanation and argument.
In order to compute the overall MATE score, the negative items were reversed so that higher scores reflected higher levels of acceptance of evolutionary theory.
I actually ended up contracting with a service called Lexington Law thanks to the app, which is doing the busy work of writing the letters to the various credit agencies on my behalf, asking them to remove the negative items that should have dropped off ages ago.
As can be seen in Additional file 2: Table S2, the fit indices for section A (part without the correlated uniqueness of the negative items) tend to be outside the range of what is generally considered to be an adequate fit (i.e., CFI, >0.90) for each country.
Reverse scoring was used for the negative items (9 items).
The negative items were subsequently rephrased positively, in line with the remaining 25 items.
For the positive items, α = 0.92 (excellent) and for the negative items, α = 0.87 (good).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com