jamovi

OK, I see. Thanks for your answer.

Hi, I sometimes have relatively long names for the groups represented by the indvidual bars in a bar graph. This leads to long x-axis labels that overlap, which does not look good. Is there anything I can do about this (except for shortening the group names)? Something like a line break? I haven't f...

Thanks for your answers, especially for your very detailed and elaborate answer, Maurizio. That made it clear.

Hi, As far as I understood, adjusted R2 is meant to make a correction for adding variables in a multiple linear regression model, which inevitably leads to a higher R2 value even if the variables do not really contribute much to the model and are rather "useless" in the model. What I wonde...

Thank you, Maurizio, for your elaborate answer. I now understand the benefits of the combined (and more complex) analysis. Good to know that the separate analysis is not statistically wrong. I think I will go with the approach you suggested and start with separate analyses first and then - after get...

OK, I see. That may indeed be a benefit in the case of just a few of these values.

There are quite a lot of <min values for some parameters (and none for others) but there are only very few >max values for all parameters.

Hello, I previously asked how to perform a binary logistic regression with two outcomes (response to treatment: yes=1 or no=0) measured at two different time points. I got a helpful response but now I wonder: 1) Would it be statistically wrong or just a different way of analyzing the data to perform...

Thanks for your suggestion, reason180. The things is this: The >max values are only max values for the calculated parameter, which is generally a concentration. The raw data are absorbance, fluorescence or chemiluminescence values and there is always such a value. The calculated parameter is determi...

Thank you, Matt, for your reply. I will try out different approaches and see how they affect the results and then decide which one I will eventually use - and, of course, describe it in my report.

Another option I can think of would be to consider them missing values but that would reduce the dataset.