I have ran a study comparing the Daily Mile and HIIT in children to see which is best for improving cardiovascular endurance (Beep test) and anaerobic power (20m sprint).
Scores on both test were measured before and after the interventions so it is a differences in the change in the mean of the scores post both interventions to see which is greatest.
Which is the correct statistical analysis to run on SPSS? I thought a one-way repeated ANOVA but I am now doubting myself.
Any help is appreciated.
see the Senn's paper
https://www.semanticscholar.org/paper/Change-from-baseline-and-analysis-of-covariance-Senn/934e0abba8b3cff110d6272615909440f5b92763
Best.
Hello Joel,
One-way ancova or mancova would likely be best. Intervention type is the factor (between-subjects variable; 2 levels), and post-intervention scores are the dependent variables. Pre-intervention scores would make good covariates. Be sure to check assumptions!
A technical issue in using change/difference/growth/gain scores as outcomes is that, if the individual scores are less than perfectly reliable, difference scores will be less reliable than either of the scores from which they are computed. This is exacerbated as the two scores are more strongly correlated.
Good luck with your work.
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Modeling
- Analyses of Variance
- ANOVA