Help for covariate analysis with Mixed ANOVA

Comments

• PM_Stat

  April 2020

  Hi,

  
  

  Could you add a screen of your JASP output?

  
  

  PM
• EJ

  April 2020

  I've asked our ANOVA expert to take a look at this as well
• JohnnyB

  April 2020

  Hi Kev_bague,

  
  

  1. There is no covariate box in the ANOVA, only in the ANCOVA - which is the difference between the two analyses: in the underlying code, the ANOVA just calls the code of ANCOVA but supplies a model without covariates (this is not JASP specific).
  2. I would advise to add the two covariates simultaneously, as they probably have a lot of overlap in how well they predict your dependent variable (i.e., I would expect a high correlation between the two components) and adding them both would take that into account.
  3. This is probably because the effect of your independent variable (A) was confounded by the effect of the covariate. Without including the covariate, it seems that A is a good predictor of your dependent variable. However, it could be the case that Anxiety is the best predictor of your dependent variable and that Anxiety differs for each group of A. Adding Anxiety to your model is a way to check whether A still has any explanatory value (i.e., does A explain patterns in your data that are not already explained by Anxiety?). In your case it seems that Anxiety does have some explanatory power: enough that it spuriously amplifies the main effect of A (when not including Anxiety in the model), but not enough to warrant concluding that there is a main effect.

  Pease let me know if things are still unclear =)

  Cheers,

  Johnny
• kev_bague

  April 2020

  Hello @JohnnyB

  
  

  Thank you very much for your answer very helpful !

  We're very lucky to have this software as well as your tips !

  
  

  Thank you !

  
  

  Cheers,

  
  

  KB
• JohnnyB

  April 2020

  Thanks KB, that's great to hear!