 For repeated mail in OVA, we will learn how to enter data in SPSS. We will take the same example. I will show you the three, four slides here, but not the rest because you will have these slides with you to follow the procedure, how we will do in SPSS. But I will after three, four slides take you to the SPSS environment. So this is an example we're going to solve here in this for the repeated mail in OVA. The following data were obtained from a research study examining the effect of sleep deprivation on motor skill performance. Sample of five participants were tested on a motor skill task after 24 hours of sleep deprivation, tested again after 36 hours and tested once more after 48 hours of the deprivation. The dependent variable is the number of errors made on the motor skill task. Do these data indicate that the number of hours of sleep deprivation has a significant effect on motor skill performance? So we have one dependent variable that is the errors on the motor skill task. We have three independent variables of sleep deprivation, which are the deprivation of 24 hours, of 36 hours and of 48 hours. And we have repeated mayor, that is our same participant who we tested on the performance task after 34 hours and 46 hours. So this is the example of one-way repeated mayor in OVA. One-way because we have one independent variable. We need one group of participants on the same scale on three different occasions or under three different conditions. Each person may add on the three different questions or items using the same response scale that involves two variables. So one variable has three levels. We will test all the participants on that. One independent variable, categorical example 24 hours, 36 hours and 48 hours. One dependent variable, that is the number of errors on the motor skill task. And then the number of errors for each condition will appear in the data in the different columns. So in the three columns, the number of errors on the performance task will appear. And that will be the dependent variable. This is the environment of the SPSS. You are pretty familiar with it now. And let's do it in the SPSS now. I'll open a new data file. And this is here. Its data is pretty much easy to enter. You can add the number of participants here. We have four participants who we called A, B, C, D or E. We have the number of errors after the sleep deprivation of 24 hours. After the sleep deprivation of 36 hours, our number of errors on the motor skill task is like this. And then after 48 hours, our number of errors on the motor skill performance task is like this. So again, what will we do? We will go to its variable view. We will give its name in it. After that, the data was of 36 hours. And this is our 24 hours. If we put the number at the beginning, then it doesn't take the number of errors on the SPSS. So we have to follow it on the variable name selectively. So our sleep deprivation of 48 hours is of 36 hours and 24 hours. So we have the data. We will go to Analyze. Everything is there in the lecture PowerPoint. But here you look carefully. We went to Univariate for 2-way Nova. But now we will go to General Linear Model and go to Repeated Measures. We will click it. Here it will say factor. We have to tell it that factor 1. And we can give its name here. Which is sleep deprivation. And we have said that there are 3 levels. So now we will add it. I have given it space in it. So it won't take it from here. We will add it and we will define it. To define it, it has already given you the level of 1, 2, 3 sleep deprivation. We will select 1 by 1. 24 hours, 36 hours and then 48 hours. This is ours. We don't have any subject variable. So what will we do? We will leave the model contrast in the plot. It is not necessary because it is 1-way. So our interaction is not necessary in 1-way. I have definitely told you in the options that check the homogeneity test or descriptive or estimate of effect size. So these 3 things are must. Rest, if you have to go into it, you can do the main effects. LST or Born-Firony, both are fine. Because we have 3 levels now. So it can tell in 3 levels that which one is 2 significantly different. I think that's pretty much it. Only you will go into options. Plots are not necessary. And let the rest of the things stay. And our repeated mayor will be 1-way.