I am not sure how I would analyse this data: The experiment is looking at the accuracy of emotion recognition in children with ADHD. The children will be asked to identify what emotion a face is portraying (out of 6 expressions; happiness, sadness, fear, anger, disgust and neutral). They will firstly be shown the photographs and asked to identify the emotion, then they will be instructed to focus on the eyes and asked to identify the emotions and then asked to focus on the mouth. (three conditions- free gaze, eye gaze and mouth gaze). The experiment involves 2 groups of participants, ADHD children and matched controls. The DV is accuracy of emotion recognition.
How would I analyse this, would this be a repeated measures ANOVA to compare accuracy of emotion recognition by participant group (ADHD or controls) gaze condition (free, eye, mouth) and emotion type? I think this will determine whether there was a significant difference in the accuracy of identifying emotions in the difference gaze conditions and types of emotion portrayed. And if significant, follow up Bonferroni tests will be conducted to show which emotions were recognised the least accurately? t tests? planned comparisons? Im not too sure what design this is or what type of ANOVA should be conducted. Would I do seperate ANOVAs for each emotion? I am a bit confused!