You are a counselor working in a setting in which you provide group therapy to college students. You want to compare two different treatments for anxiety disorders. One group that is offered on Mondays from 9:00 am to 10:00 am will focus on teaching cognitive-behavioral therapy skills to clients (for this group, you are using an already established treatment manual that is known to be effective for treating anxiety in college students specifically) and the other, which is offered on Mondays from 12:00 pm to 1:00 pm, will focus on teaching acceptance-commitment therapy skills (this is a manual you created that you want to see how effective it is). The plan is for the students to first meet with a counselor who will complete an intake and, after the fact, assign them to one of the two groups based on what time works for the student (the time of the group, that is) and what the student's goals for counseling are. You are planning to then have each group participate in 10 sessions with a counselor and will receive symptom ratings for each student indicating their severity of anxiety symptoms (high scores = worse anxiety) at the end of each group session. What type of research design is this and why? Are there any difficulties you see potentially arising in this study from a statistical standpoint? Let's say you are running some analyses and looking at the averages of your last group and the breakdown of scores from the two different groups. If you have a Z-score for a group member (within the cognitive-behavioral group) of +2.0 for the last meeting, what does that tell you about this member in relation to the other group members and how might you interpret it? If you have a large sum of squares for the cognitive-behavioral group, what does that mean for the group specifically?