Let's do it. Let's run these models. So this is actually the model that we'll be running. And again, we are theorizing that job meaningfulness influences job performance via job engagement and that indirect effect is a function of organizational identification. The first step we look at this indirect effect. And we run this model by using the process macro again. You click on Analyze and then you go to Regression. You'll find the process entry here. You'll just click on that. And then you need to select model number 4. Do remember when we run mediation models, most of the time we use model number 4. So that's extremely important, choose the right model. And then you populate your screen. So you have your dependent variable being job performance, independent variable being meaningfulness and the mediator being engagement. Go to Options, select the Total Effect Models and test as well. Just for completedness again. Click on OK. And once you click on OK, you'll get the results for the interact effect model. I'm not showing all the results here, all the coefficients here. Because we've already covered that part in a prior session. So if you want to see the output from mediation models, go to the section that's exclusively about mediation models. And then we move to the step number 2. And in step number 2, we look for the moderation. We look to see and we test for the interact effect. Is that interact effect significant or does it significantly predict the mediator job engagement in this case? Go to Process. Similar steps. And then instead of using number 4, model number 4, we are adopting model number 1. And the reason for that is because we are running a moderation model. And not a mediation model anymore. So another difference is that our outcome variable will be job engagement, will be our mediator. We have job meaningfulness as an independent variable. And organization identification as our moderator, as our moderating variable. Don't forget to ask for a mean center for products and also to print the coefficient of the model with coefficient covariance matrix. The reason is because we need it to plot the interaction term, and we need the coefficients that we'll get from this particular table. Click on OK. And if you are to get the output. Once again, I'm not covering all the coefficients, all the output in this particular session because we did already in one of our prior session on mediation and moderation. If you're not familiar, go back, and watch that particular session. You'll get more information, information that can be helpful to you. The third step is to run model number 8 and now we are testing for the conditional indirect effect. So we are building on the prior model. And if those models, you have a significant indirect effect. If you have a significant interaction effect, those are initial indications that you may have a conditional indirect effect model. And now we are testing for this conditional indirect effect model. Go to PROCESS, select model number 8, okay, and here you'll have your independent variable, your independent variable and your mediator. Mediator is job engagement. Our moderator goes all the way down here to the proposed modulator w. And the reason is that model 8, it's a requirement to have variables or moderators in this w position here. If you put your variable in the wrong place here, you will get an error message. So, be careful! You needed this model number 8, with your moderator on the moderator W. Mean center for the products because you have an interaction term, don't forget that. And then you can click on OK and now let's take a look at the output because this is different. Double check, you have model number 8, so you select the correct model and that's extremely important for you. If you don't do that then you may get results or coefficients that are not for your model. So you can get rogue results, basically. And let's take a look at the next session. So if you scroll down, now you'll see you have two steps here. In the first step, we are looking for the effects of the interaction term on our mediator. And the interaction term here is the interaction between job meaningfulness and organization identification. And that interaction term has a significant relationship with our engagement variable, our mediator. So we have some initial evidence for the condition of the indirect effect. And then the second step, we look at the relationship between our mediator job engagement on our dependent variable, job performance. And here we do find a significant relationship between engagement and performance. P is less than 0.05. What is also important is that we are controlling for the interaction term, the effects of the interaction term on the dependent variable. Here the interaction term is exactly the same, a term. Meaningfulness times job organization identification, and we are parceling out that effects on our dependent variable. So the next step is to look at the bootstrapping results, okay? And here we do find that the relationship between job meaningfulness and job performance, via engagement, okay, is significant only for individuals high in organization or identification. And the reason here again we look at the confidence interval of our bootstrapping analysis. And if there is zero in the confidence interval, that relationship is not significant. The direct effect would not be significant. But, if there is no zero in the confidence interval then we do have a significant indirect effect. In this case, for individual's higher organization identification, there's no zero in the confidence interval, so it goes from 0.04 to 0.05. But for those individuals who are low in organizational identification, one standard deviation below the mean, we do find that zero in the confidence interval. So the indirect effect is not significant. The final step is to look at the index for moderated mediation, or index of moderated mediation. We see here that the bootstrapping analysis, the confidence interval of that particular index does not have zero in it. So we also find evidence for a significant conditional indirect effect. In this session, we covered first stage moderated mediation and we not only described how you should theorize about moderated mediation but also how to conduct a test on moderated mediation.