Describe the circumstances under which you should use ANOVA instead of t tests
Initial discussion postings should be a minimum of 150 words. Each student must also respond to a minimum of 2 fellow students’ original postings; each response must be at least 100 words in length.
Responses should directly address the question and be discerning about when the DB is asking for a more objective (researched) answer vs. personal experience and opinion. I also highly encourage you to incorporate relevant supplemental material (i.e. an article, website, Youtube video, etc.)
Constructive criticism and honest assessment of each others’ ideas is encouraged. Postings are expected to be substantive and in good taste (remember your Netiquette). By “substantive,” I mean comments that contribute something new and hopefully important to the discussion. Thus a message that simply says “I agree” is not substantive. If you feel very strongly about it and wish to be supportive of your classmate, you can certainly post such a statement anyway – but PLEASE limit such comments as there are few things more boring to read than discussions where 80% of the content is content-free! A substantive comment contributes a new idea or perspective, a good follow-up question to a point made, offers a response to a question, provides an example or illustration of a key point, points out an inconsistency in an argument, etc.
This week’s main DB requires you to answer the question completely and correctly to receive full credit.
- One advantage of the repeated measures ANOVA is that it eliminates “individual differences” as a source of variability. Explain why there are no individual differences in the numerator and in the denominator of the F ratio.
- Describe the circumstances under which you should use ANOVA instead of t tests, and explain why t tests are inappropriate in these circumstances. Find a peer-reviewed article that reflects these circumstances, describe the research conducted (i.e., ANOVA) and discuss the results.
