 We run the two-way repeated mayor in over we entered the data and asked PSS we saw the output We learned how to interpret that output now one thing which is important as I told in all my previous lectures that Effect size is important. Sometimes we get the difference significant sometime. We don't but we definitely have to report the Magnitude of that difference that is required by APA the effect size Look for partial eta square When we run it over, we checked the descriptive effect size and homogeneity so the effect size is already given in the table And that is partial eta square value in test of within subject effect table So partial eta square tells us about the magnitude of the difference between treatments And we have this table which we have seen in test of within subject And we have the last column as you can see that we have the effect size of partial eta square So the values for the main effect and the interactive effect are pretty much high 0.6, 0.7, 0.7 Which means that the magnitude is pretty high I told you earlier that partial eta square should be interpreted cautiously Because we cannot say that so many percent variance is explained by the independent variable and the dependent variable Rather it is just the magnitude of the difference between the levels of the independent variable So 0.6 means that it is a pretty high effect size The difference between three levels of the imagery between two levels of the drink and between interaction of drink and alcohol So reporting the results, we have to report it according to APA When you do your research, when you do your research, after your analysis, how you will be reporting As per given APA format So for the main effect of the drink, the greenhouse geyser estimate of the departure from sparsity was 1 We know that the value of sparsity was 1, this main effect was significant So we will report the value of F, 1.7 degrees of freedom So drink 1 means that between group degrees of freedom we have two levels of coffee and alcohol So 2 minus 1 would be 1 And 7 means that within group degrees of freedom which we have 8 participants So 8 minus 1 would be 7 So F's value for 1 and 7 which is calculated and we highlighted there in the table also is 10.58 P is equal to 0.013 and partial eta square is equal to 0.607 Post-hoc test revealed that between the types of drinks, we will give the meaning of coffee Short significant difference with the P value 0.013 when compared to the alcohol So whenever you say the main effect for the drink, you will report F's value You will report F's degrees of freedom, F is italicized And with that you will report P's value and partial eta square's value And then for the post-hoc, you will compare that how much difference is between the two groups You will tell that the coffee was significantly different from the P value as compared to the alcohol So you will report the mean and the standard deviation for the both Similarly for reporting the main effect of the second independent variable which was the type of imagery You will say that the greenhouse geyser test was used because of the departure from the sphericity But if you are assuming then you will say that because sphericity was met So we are using the F value, simple which we told you in the first row that it reports So you will tell the sphericity value, how much is it and for that it is our symbol The type of imagery also had a significant effect on the ratings of the drinks So in that also you will report F's value because when we talked about sphericity We say that not to assume, the difference is mainly on the degrees of freedom So we will give the degrees of freedom 1.56 and 10.93 F's value is our 24.16, this is all we copied from the table of Within effects which I have shown you as the main table P is smaller than point, as I said P's value was 0.00 But we will not be reporting P's 0.00, but we will be reporting P's smaller than 0.001 And our partial eta square value is 0.775 Post-hoc comparisons reveal that the ratings after positive imagery And the meaning of positive imagery will be given up where it is significantly higher P value will be given up, if we have said it is P's value Then the negative imagery and inside it we will give value of negative imagery And similarly we will compare it with the third group That positive imagery was significantly higher than the neutral imagery Conversely there was no significant difference rating between negative and positive So there were three levels, you will be reporting how positive is different from negative How positive is different from neutral and then how negative is different from the neutral And for all three, you will be reporting mean value and the P value By stating that there is significant difference between the levels And similarly we will report the interaction effect For the interaction the green house geyser was used because of the departure from the Sepericity because our value was 0.66 Though it is our non-significant So there was significant interaction effect between the type of drink and the type of imagery So the main conclusion will be that there is a significant difference And after that you will report the value of F for the degrees of freedom And F value and then P value As we have said P is 0.002 And then we will report the value of partial eta square and then we will write the interaction graph showed That the effects reflected that negative imagery compared to positive and neutral Lowered scores significantly more for alcohol as compared to coffee So you will be reporting the F value, the P value, the partial eta square value And then the mean value for each level And then by stating that yes there is or there is not a significant interaction or not And this is how we will be reporting Two-way repeated measure in over Entering the data, interpreting the output and then putting the key value Getting the key values from the output and reporting as per APA