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Analyses results revealed that this is the most important factor (relative importance of the factor is 30.09 %).
The importance of the factor varies from one stage to another.
Each criterion was weighted with a score based on the importance of the factor in addressed safeguarding issues.
To better express the relative importance of the factor, the weights of the regression were converted to standardized regression coefficients (beta weights).
Using a stepwise multiple logistic regression, each of the identified factors will be given a weight; this will represent the relative importance of the factor.
A relative importance of the factor 'region' on the dependent variable 'range' was indicated by our data (R = 0.1094), Southern Germany showing a significantly lower mean range compared to Northern Germany.
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This was explained by a comparison of the relative importance of the factors.
Table 11 reports the importance of the factors used in the Extended data source 3 on the issue fix time.
Table 11 reports the importance of the factors used in the Extended data source on issue fix time.
The relative weights, which indicate the importance of the factors, are represented in the perspectives of experts.
The numbers in the above table indicate preference (intensity of importance) of the factors being compared based on experts' opinions.
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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