We assessed several psychological measures (e.g. self-compassion scale, five-facets mindfulness questionnaire, satisfaction with life scale) before and after a Mindfulness-Based Psychoeducational Program for groups of people with acquired brain injuries. We would like to analyse whether these psychological variables improve significantly after the program. We tried to compare total scores of pre- and post- intervention, using paired-samples T-Tests and Wilcoxon Tests. Is it possible to use another statistical tests (e.g. One-way ANOVA)?
The repeated measure will be repetition of your work.
software SPSS in this field is very suitable.
If you are interested in the differences between your dependent measures (e.g. self-compassion scale, five-facets mindfulness questionnaire, satisfaction with life scale), you could run a repeated measures ANOVA (groups x measures) on the residuals from the pre-post measures for each. In attachment you can find an R script to run the ANCOVAs mentioned above, and to run the repeated measures ANOVA on the residuals.
The data are inspired by the Wilcoxon hangover study. They are not normally distributed, but that is no issue here.
Sorry Raquel, a repeated measures ANOVA with the residuals as repeated measures is NONSENCE (residuals are like z scores, there cannot be a difference between them). Instead you could run a 'doubly' repeated measures ANOVA on you 6 measures (sfpre ffpre satpre sfpost ffpost satpost) with the groups (mindfull training or not) as between factor. See extended R script in attachment.
Given the nature of the scales applied, it seems prima facie, which should be analyzed nonparametrically. The variable responses are possibly not dichotomous, in that case, if the response variable is measured only once, I think that with Wilcoxon signed rank test it would be enough, now it is not clear if the variables were measured only once, or several times over time, in that case, running an analysis of repeated measures would be convenient, nor is it clear, whether each response variable will be analyzed independently, or all of them jointly, if this is the case, the first analysis would be a MANOVA with repeated observations, and then, for each variable separately, an ANOVA with repeated observations.
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