![calculating degrees of freedom mixed factor anova calculating degrees of freedom mixed factor anova](https://matistics.com/wp-content/uploads/2022/03/word-image-203.png)
> ficult#distraction group#difficult#distraction Repeated variables: difficult#distractionĭifficult#distraction | 1 0.09 0.7636 0.7636 0.7636 0.7636ĭistraction | 1 2.69 0.1035 0.1035 0.1035 0.1035Ĭode: anova rt group / id2|group difficult group#difficult / id2|group#difficult distraction group#distraction / id2|group#distraction dif > #i.difficult#i.distraction, repeated(difficult distraction) anova dv i.group / id2|i.group i.difficult i.distraction i.group#i.difficult i.group#i.distraction i.difficult#i.distraction i.group
![calculating degrees of freedom mixed factor anova calculating degrees of freedom mixed factor anova](https://i.ytimg.com/vi/JBoHHFvVsqw/maxresdefault.jpg)
Random-effects Parameters | Estimate Std. Group variable: id2 Number of groups = 42 Mixed-effects ML regression Number of obs = 168 Note: single-variable random-effects specification in id2 equation covariance structure set to identity GroupXdistraction is significant when using mixed but now when using anova, and this makes a BIG difference in terms of result interpretationĭo you think I am misusing ANOVA command? do you see any obvious reason for this to happen?Ĭode: mixed dv i.group i.difficult i.distraction i.group#i.difficult i.group#i.distraction i.difficult#i.distraction i.group#i.difficult#i I previously used mixed effects model ("mixed command") but in the field I am working reviewers prefer to see ANOVA instead of mixed effects model. I am interested in measuring the effect of “group”, “difficulty” and “distraction” along with their respective interactions on the dependent variable (DV). The four conditions were: Easy without distraction Easy with distraction Difficult without distraction Difficult with distraction Distraction (without distraction 0, with distraction 1).Each subject performed four different experimental conditions, defined by a combination of 2 independent variables:
![calculating degrees of freedom mixed factor anova calculating degrees of freedom mixed factor anova](https://real-statistics.com/wp-content/uploads/2014/11/mixed-factor-anova-dialog.png)
Two groups of subjects (healthy subjects – HC diseased subjects – DS) performed an experimental task. I would be most grateful if you could help with a problem I am experiencing using Stata.Įssentially I am obtaining substantially different results when using mixed effects model as compared with repeated measures ANOVA and I am not sure why this is happening.