Hello everyone:
What does it mean when a variable is significant in one step but then in the next step it's no longer significant? For example, in this article (https://cyberleninka.org/article/n/1102972.pdf) neuroticism is a significant predictor of well-being in the first step when the Big Five personality traits are introduced, but in the second step neuroticism is no longer a significant predictor when new variables are added. The authors in the discussion seem to interpret step 1 and step 2 of the model independently (concluding that neuroticism is a predictor of well-being even though it is not in the last step of the model). Would this be an acceptable way to interpret a hierarchical regression?
Thank you!