Moderation interpretation when one predictor is insignificant? My moderation analyses is testing whether self-compassion moderates the relationship between pain severity and emotion (negative and positive, separately). In this moderation, pain severity contributed to significant variance in positive emotion until self-compassion was added to the model (and then it became insignificant). Pain and self-compassion are both unique predictors of negative emotion in the same model. So self-compassion significantly moderates the relationship with negative emotion, but not with positive - which means that at high levels of pain, negative emotion is not going up when self compassion is high (the slope of the line gets flatter). However, the lines are all equally parallel with positive. Is this because in the positive emotion moderation, pain severity's effect gets wiped out by self-compassion when its added in, and what does that mean?
I have another moderation with quality of life as the DV, where there is no significant main effects from pain severity or self-compassion, but only the interaction is significant. Not sure how that works either.