1. ## paired samples

Hello!

I have two separate group. On each group, I could have done paired samples t-test, but I want to compare between the two of them- is there is any option besides mix ANOVA (that doesn't consider the paired sample issue) that I can do?

Thank you!
Tal

2. ## Re: paired samples

I don't know if I understand your design right: You have a continuous outcome Y, and you have two groups A and B, and the individuals differ between the two groups. And within each group you have a repeated measurement of the same individuals regarding two different conditions C and D? In this case why not using a mixed ANOVA via the ID-variable? Which software do you use?

3. ## Re: paired samples

Originally Posted by mmercker
I don't know if I understand your design right: You have a continuous outcome Y, and you have two groups A and B, and the individuals differ between the two groups. And within each group you have a repeated measurement of the same individuals regarding two different conditions C and D? In this case why not using a mixed ANOVA via the ID-variable? Which software do you use?
I Would say that you understood right, but the two conditions C and D are connected among them. I replicate a new paradigm. In the pardigm they only had one group so they did t- test for pair samples. I do the same, but I have to different samples now. I hope it's clear.
Tal

4. ## Re: paired samples

I am sorry, maybe it's because I am not a native speaker, I still have problems to understand the design.

Originally Posted by talgef
I replicate a new paradigm. In the pardigm they only had one group so they did t- test for pair samples.
So in this study they had N people and two treatment conditions for each individual, am I right?

Originally Posted by talgef
I do the same, but I have to different samples now.
Are you repeating the same experiment but with other people and you want to analyse both datasets together, or do you have a different design with additional groups compared to the above mentioned experiment?

5. ## Re: paired samples

GROUP A
LEVEL 1 LEVEL 2

GROUP B
LEVEL 1 LEVEL 2

The two levels are connected to each other, if for example I had only one group- I had to do t- test for paired samples (Its the same people who do the two levels). The two groups are separate. And I want to analyze it all together.

6. ## Re: paired samples

OK, thanks, now it's clear. I don't see that there is something against a mixed ANOVA with the two factor variables Group and Level and the participant ID as the random effect. In R for example you can write this as a mixed linear model:

library(nlme)
data\$group <- factor(data\$group)
data\$level <- factor(data\$level)
model <- lme(outcome ~ group + level, data= data, random=~(1|ID))
summary(model)

Here, the significance of the variable "group" tells you about differences in the outcome for the different groups A vs. B (pooled over all levels). Is this what you are looking for?

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