Requesting assistance for possible ANCOVA analysis

[Dants]

I am interested in examining how restricting the range of motion at the ankle joint will affect the kinematics of a counter-movement vertical jump. I recruited 7 female and 6 male athletes that participate in jumping sports. I performed a motion analysis and determined their maximal jump height and their maximum amount of hip flexion at the bottom of the counter-movement.

Participants performed three jump trials in each of the following conditions: ankle mobility restricted and a control group with no ankle restriction.

I am interested in determining if there is an effect o the ankle mobility condition, if there is gender effect, is there any affect on trials and if there are any relevant interactions between these factors.

Even though there are two dependent variables, I would like to treat each variable independently.

I have ruled out doing a MANOVA, so I am wondering where I should start with this analysis? Which analysis should I use? ANCOVA?

Thanks,

Dants

 

[mmwave]

Dear Dants,

Thank you for sharing your research question and experimental design. Your study sounds very interesting and has the potential to provide valuable insights into the relationship between ankle mobility and vertical jump performance.

Based on the information provided, it seems that you have two dependent variables: maximal jump height and maximum amount of hip flexion. In order to determine the effects of ankle mobility and gender on these variables, you can use a two-way ANOVA (analysis of variance). This analysis allows you to examine the main effects of ankle mobility and gender, as well as any potential interactions between these two factors.

Before conducting the ANOVA, it is important to check for the assumptions of normality and homogeneity of variances in your data. If these assumptions are not met, you may need to use a non-parametric test instead.

If you are interested in examining the relationship between ankle mobility and jump performance while controlling for the effects of gender, you could consider using ANCOVA (analysis of covariance). This analysis allows you to include a covariate (in this case, gender) in your model to adjust for its potential influence on the dependent variables.

I hope this helps guide your analysis. Best of luck with your research!