Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?I have an FTIR spectral data set that I want to analyze with MANOVA. The statistical model for the experiment contains two fixed effects and one random effect. MANOVA doesn’t support random effects. The experiment measured spectra of the same subjects over a period of 12 weeks. However, only the last 3 weeks are averaged and included in the analysis. So, I guess it is not considered as a repeated measure anymore.
Will MANOVA be appropriate for the analysis of this dataset in this case?
Is there a different procedure to do a multivariate analysis of variance on this data set that support random effects?
Or should I use MANOVA and exclude the random effect? Is the random effect relevant in the averaged data?
Or is there a workaround to include the random effect in the MANOVA analysis in this case?
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?Ok, thank you.
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?Taking the average of repeated measures certainly a valid way to deal with an inability incorporate random block effects. I'm not aware of any workaround within JMP to incorporate random effects into MANOVA.
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?FTIR = Fourier-transform infrared spectroscopy
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?It was not my intention to be patronizing. People ask questions about MANOVA all the time on here and I have yet to see a case where they actually needed it. I apologize I also don't know what kind of data FTIR outputs. I don't know anything about FTIR.
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?Thank you for your reply and I am not sure how you got the impression that I don’t have multiple responses. To answer your question, yes I have multiple responses. An FTIR sepctrum consists of 1060 variables and they are all considered as responses for one observation in this case. Of course, I am not using all of them, I am using several distinct peaks in my analysis and ANOVA will not handle it. Also, I am aware that “M” doesn’t mean multiple factors!
Re: Can I use MANOVA to analyze spectral data with a statistical model that contians random effect?Do you have multiple response variables? If so, do you want to also model the relationships of those response variables with other response variables as well as with the independent factors? If not, MANOVA is not the answer. The number one misconception I see on this board is that the "M" in MANOVA means you use it with multiple factors. That is not the case.
Most of the time people ask about MANOVA on here, they really just want to do regular, everyday ANOVA with multiple factors. Just use Fit Model. You don't need to have any continuous factors to use Fit Model and it can handle random effects no problem.
