Dear @Mila Kindly refer to the link below 👇🏼

http://processmacro.org/faq.html

Question: Will PROCESS produce standardized coefficients?

Answer: "The regression/path coefficients that PROCESS produces are in unstandardized form. PROCESS v3.2 and later does have an option available through command syntax for generating standardized regression coefficients for mediation-only models. See the addendum to the documentation that comes with version 3. Keep in mind that if X is a dichotomous variable, the standardized regression coefficients for X will be in partially standardized form. See the 2nd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis for a discussion of partially and completely standardized regression coefficients.

In any version of PROCESS, you can can standardize your variables first prior to the use of the PROCESS, and this will generate standardized coefficients. However, the bootstrap confidence intervals you will get from PROCESS should not be interpreted as confidence intervals for the standardized effects, for that is not what they are. If you want a proper confidence interval for a standardized indirect effect, use the effsize or stand options. See the documentation.

Be very careful when you standardized variables manually. PROCESS will eject cases from the data using listwise deletion. Make sure that before you standardize, you throw out all cases from the data that PROCESS will throw out due to missing data. If you don't do this first, then the variables you give to PROCESS after manual standardization will not actually be standardized variables and the regression coefficients PROCESS generates will not be in standardized form. For a discussion, see the 2nd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis.

"The regression/path coefficients that PROCESS produces are in unstandardized form. PROCESS v3.2 and later does have an option available through command syntax for generating standardized regression coefficients for mediation-only models. See the addendum to the documentation that comes with version 3. Keep in mind that if X is a dichotomous variable, the standardized regression coefficients for X will be in partially standardized form. See the 2nd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis for a discussion of partially and completely standardized regression coefficients.

In any version of PROCESS, you can can standardize your variables first prior to the use of the PROCESS, and this will generate standardized coefficients. However, the bootstrap confidence intervals you will get from PROCESS should not be interpreted as confidence intervals for the standardized effects, for that is not what they are. If you want a proper confidence interval for a standardized indirect effect, use the effsize or stand options. See the documentation.

Be very careful when you standardized variables manually. PROCESS will eject cases from the data using listwise deletion. Make sure that before you standardize, you throw out all cases from the data that PROCESS will throw out due to missing data. If you don't do this first, then the variables you give to PROCESS after manual standardization will not actually be standardized variables and the regression coefficients PROCESS generates will not be in standardized form. For a discussion, see the 2nd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis."

I use an R implementation but the units won't matter .you just want to see if the appropriate interaction term is significant and if crossing happens on the interaction plot. Best wishes, David Booth

It is a good choice to use standardized values.

Check https://statisticsbyjim.com/regression/standardize-variables-regression/