Go to Jeremy Dawson Web site and download the two way unstandardized with simple slopes file. Yes. And is this description here. You'll find one off the- one of the files that I'm just asking you to download. It's easier. You'll see and I bet that this is a very easy process to plot your interaction. So it was so low that an open Excel spreadsheet. This is what you see seeing. You'll have a bunch of coefficients that you needed to enter in order to get your graphical representation here. Let's do that? Yes of course. So first you need it to go to the descriptives. So again you'll go to analyze every time that you needed to analyze anything on SPSS. You'll go to the analyze tab and now we'll go to descriptives or descriptive statistics, and then descriptives. You'll have frequencies, explore, cross-tab. No, go to descriptives and then you'll- and then you select the two variables that you want descriptives. The mean, and the standard deviation, job meaning for us and the organisation identification. You got the output you'll have the mean here. Then you have these standard deviations there. You need those coefficients when you are entering the information in your Excel spreadsheet- spreadsheet to plot your interactions you will also need this co-variance table here, because you will be looking at co-variance and variance coefficients. Now you needed to enter those coefficients. You entered a coefficient of your independent variable, you enter coefficient of your moderator. The interaction turn, the constant or intercept and now you had the means in the standard deviations. What's important here is because you centered your means, centered your variables. Your mean should be zero. Okay. For both independent variable and moderator. And now you'll have your standard deviations. Finally, you'll go back to that co-variance and various matrix, and get the coefficients and adjust enter those great shifts here, because our standard deviation of our moderator is 1.16, 1.16 that's the value that you want to enter when comparing these slopes. Okay? One standard deviation above 1.16 and one standard deviation below minus 1.16. Our sample size here was a thousand. And we have no controls variables in this- in this test. So once you enter that this is the graph that you will be seeing. Okay. And here what you have is that four values, our four individuals who are one standard deviation above the mean for any of those high in organization identification. This is a low here is significant B is less than .05. But for those individuals who are low on organization identification, the standard deviation is minus 1.16. We see that the p value here is not less than.05 and this line this slope is not significantly different from zero. So for the individuals high on organization identification, yes, that's slopes significant. For individuals low in organization identification, that's slope is basically flat not too different from zero. And this is replicating basically the find is that we got from the SPSS output for individuals high in organization identification. We see here that there is no zero confidence interval. So that relationship is significant for individuals higher organization identification. The relationship between meaningfulness and into job performance is significant. But for those of low in organization identification that relationship is not significant. So this is the end of our first workshop. In this session particularly we talking about moderation, and we presented what moderation is. We explained what moderation does, how to conduct a moderation tasks, the importance of plotting. So this is the end of this session. In this workshop we covered a number, often analytical processes. We covered mediation. We covered parallel mediation. We covered zero mediation and we also covered moderation. In our next workshop, we will be talking about conditional indirect effects. If you want to learn more. Please follow the links and watch the next or the second workshop on condition or indirect effects.