I am using PROCESS (Hayes, 2018) to analyze my data. It is model 10 with dichotomous X (antecedent variable), and 2 dichotomous moderators. My mediators (M) and Y variables are continuous. I am struggling to interpret the results, particularly the moderation effect. Can someone guide me to a publication that uses dichotomous X and moderators so that I can refer to it? Or if you can help me interpret the results below for example so that I can get an idea

X has two values : 1 and 2

W has two values : 1 and 2

M is continuous

Y is continuous

Model : 10

Model : Outcome variable: M                coeff         se           t           p        LLCI        ULCI constant     5.8867     1.0494     5.6094      .0000     3.8208     7.9527 X     .2170      .6905      .3142       .7536     -1.1424    1.5764 W       .7859      .5020     1.5654      .1186      -.2024     1.7742 X*W         -.6322      .3198    -1.9771      .0490     -1.2618     -.0027 Z    -1.1115   .5036    -2.2069       .0281     -2.1030     -.1200 X*Z        .5861      .3203     1.8300      .0683      -.0444     1.2165

It says that there is no direct effect of X on M but interaction effect of X*W on M. I am specifically concerned about the interaction effect- how do I interpret it?