# Search results

1. ### Confidence interval in inter-rater reliability

When I calculate the confidence interval for the same sample using a t test, the mean is exactly in the middle of the interval.
2. ### Confidence interval in inter-rater reliability

Hi everyone So I used SPSS to calculate inter-rater reliability. To my surprise, the value was not in the middle of the range of the confidence interval. For example, the reliability was 0.667 while the lower bound was 0.604 and the upper bound is 0.720 How can this be?
3. ### Hi Spektra. Not sure I understood. Do you want to create random data that would follow these...

Hi Spektra. Not sure I understood. Do you want to create random data that would follow these prerequisites?

Thanks obh!
5. ### Calculating the Y' variable

Hi obh. Sorry for the late reply. Unfortunately, I can't upload the data. It's not something I can share. Thank you for your effort!
6. ### Calculating the Y' variable

Hi obh. If I understood correctly then, yes, this is what I'm doing.
7. ### Calculating the Y' variable

No. What I mean is that when I enter the interaction variables I recalculate Y' (Lets call it Y''), according to the new coefficients, and also include the interaction variable. However, while Y' explains all the variance in it's model, Y'' does not.
8. ### Calculating the Y' variable

Hi everyone. I wanted to see if my data could be described better with a non-linear relationship. So I calculated a new Y' variable, based on the coefficients I got from the regression model. Just to make sure I didn't make any mistakes, I rerun the regression, with only the new Y' as the...
9. ### Predicted R square

That's actually quite funny. I laughed aloud.
10. ### Predicted R square

You are correct. Normally, R^2 won't be that much of an issue, as long as it is above a certain threshold. However, In this particular case, it is of value to me.
11. ### Predicted R square

Thank you Miner. I already read this blog and I while I understood the difference between the terms, It did not help me in understanding how high the R^2 pred should be. The model I'm trying to create is from the field of psychology. In this field, You never reach a high R^2. Even a 50% R^2 is...
12. ### Predicted R square

Hello everyone While I've been looking for an explanation on how good adjusted r squared explains the data, I came across a term I havn't met before - Predicted R squared. Apparantly, I've been living all this time in a lie, and neither R squared nor adjusted R squared are good measures for the...
13. ### McNemar test for more than a 2X2 design?

Hi Karabiner. Thank you for answering. Actually, I meant it the other way around. A variable with 3 or more values, measured twice.
14. ### McNemar test for more than a 2X2 design?

Hi everyone I was wondering if anyone was familiar with a test smiliar to the McNemar test, only with a design larger than 2X2. If so, is there a post-hoc test for it (like standardized residuals for chi-square test)? Thank you!
15. ### Multicollinearity in regression

Hi obh. Thank you for answering The variables were computed simply by averaging them. I have several regressions. In one, I have 2 pairs of such variables. For one pair, the first variable had p=0.001 and the second had p<0.001. For the other pair, the first had p=0.021 and the second had...
16. ### Multicollinearity in regression

Hi everyone I encountered a strange thing while performing a regression. When I computed the variables for the regression I discovered some of them had a low Cronbach's Alpha reliability. So I decided to remove a few items from the questionnairs that they were computed from. Still, I computed...