Dear all,
My question is about a study with tennis players. I have two categorical independent variables: skill level (3 levels) and type of stroke (three different strokes). I have one continuous dependent variable (ball speed). I want to compare if there exist differences between strokes and between levels in this variable (ball speed). I have think about Two-Way Mixed ANOVA or simply perform two One-Way's ANOVA, one including the skill level as the independent variable and another including the type of stroke... You think in this case it is interesting studying the interaction between level and type of stroke. I think so but I would like to listen the opinion of an expert... Two-Way Mixed ANOVA is adequate? I have forgotten to say that each player has performed the three different type of strokes.
Thanks very much,
Gabriel
Hello Gabriel, it looks like you have one group of subjects (players) having different levels of skills and performing 3 types of strokes. So I don't think that qualifies for Mixed ANOVA. It looks like a case for MANOVA. My suggestion is to start with Chi Square and measure if skills and stroke types make any significant difference on ball speed. One caution here, the more variables you try to measure the larger your sample should be.
Hello Yigal,
Thanks a lot for your reply, it is very useful for me. I will try what you mention in a dataset I have.
Hellow Gabriel,
From my opinion, you could use a multivariable analysis of variance (MANOVA) to analyse the effect of performance level and type of kick, taking into account as covariates the anthropometric dimensions of the players. After this, you could use different types of post-hoc analyses.
Hope have been helpful
Best regards
Juan
Hola Juan,
Muchas gracias por tu respuesta- Finalmente hicimos un MANOVA pero no incluimos las dimensiones antropométricas del jugador como covariables. En los próximos estudios lo haremos (parece una buena idea).
Gracias de nuevo y a ver si nos encontramos en algún congreso.
Saludos,
Gabriel
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