Hello everyone,

I tried to read about my question here but I haven't found the answer I was looking for so I will really appreciate your help!

I conducted a study which tried to see if a Mindfulness intervention based of self compassion will change psychological properties in an individual.

For that, I sampled in 3 different time points the next variables:

- Self Compassion

- Depression

- Anxiety

- Psychosomatic Symptoms

- Perfectionism

the participants answered the questionnaire before the intervention (T1), after the intervention (5 weeks - T2) and after 5 weeks post-intervention (T3).

All the subjects were divided from the finding in T1 into 2 groups:

High self compassion OR Low self compassion.

I want to see if there is a change threw time in the variables: Self Compassion, Depression, Anxiety, Psychosomatic Symptoms, Perfectionism (5 dependent variables). In the analysis I would like to include a between-subject variable - Group (HIGH OR LOW self compassion T1) and to control Age (COVARIATE).

I am sure I need to do a repeated measures ANCOVA. but my question in whether I need to put all the depended variables together in the same model (as a result of type 1 error?) or can I run the analysis separate for each depended variables (because they deffer from each other and there in no need to put them tugether)?

if you think the analysis I want to do is incorrect, I would like to here it!

Thank you!!

Maor.