I'm currently working on my research and this is the design:
The aim of the research is to investigate the effectiveness of mindfulness on subjective wellbeing and perceived stress. So, 100 participants are divided into 2 groups whereby 50 would undergo mindfulness intervention and 50 are in the wait list control group. Subjective wellbeing, perceived stress and mindfulness level are measured for all participants pre and post of the mindfulness intervention. I would like to examine the pre/post changes in study outcomes as well as determine if the intervention group demonstrated a greater degree of improvement than the waitlist control group. So the question is should I conduct a Mixed Model ANOVA analysis? Similar research designs in the pool of literature have actually used paired sample t test followed by 2x2 repeated measures ANOVA, hence the confusion.
Thank you.
If I understand your question, I think a mixed model would be better. I have attached a link to some notes on the topic by Prof Marie Davidian here:
https://www.stat.ncsu.edu/people/davidian/courses/st790/
I recommend looking at the repeated measures and mixed model sections. These should help you considerably. Best wishes, David Booth
If I understand your question, I think a mixed model would be better. I have attached a link to some notes on the topic by Prof Marie Davidian here:
https://www.stat.ncsu.edu/people/davidian/courses/st790/
I recommend looking at the repeated measures and mixed model sections. These should help you considerably. Best wishes, David Booth
Dear See,
1. As you said "100 participants are divided into 2 groups whereby 50 would undergo mindfulness intervention and 50 are in the wait list control group", i.e. you have two groups only.
2. The sign test and Wilcoxon’s test for related data should be developed. This test is the non-parametric equivalents to the related t-test. The Wilcoxon test should be used in preference to the sign test when comparing score data.
3. The condition of a mixed analysis of variance design is not satisfied in your experiment, where a mixed analysis of variance design is merely a two-way (or three-way, etc.) research design which contains both unrelated and related independent variables.
4. For more information, please refer to,
Snedecor, W.G. and Cochran,W.G. (1989). Statistical Methods, Blackwell.
5. For the practical side (SPSS), please refer to:
. Landau, S. and Everitt, B. S.(2004). A Handbook of Statistical analyses using SPSS.
.Howitt, D. and Cramer, D.(2008). Introduction to SPSS.
Regards,
Zuhair
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Modeling
- Analyses of Variance
- ANOVA