Thanks for all the recommendations so far. I will keep the long-term-use books in mind... right now I'm just trying to survive this class! Here are the objectives he has on the syllabus. Yes, he is all over the place too! I would like an internet site with help if possible but if a specific text you know addresses these best then I would like to know about it. Right now the book for the class is: design and analysis, a researcher's handbook, 4th edition. The problem is that it doesn't describe certain basic things at all (that I forgot how to do long ago), or some of the things he is teaching are in different parts of the book and presented in a way that is related to another concept, not the concept he is talking about, so now I don't really understand either concept, OR he writes all these formulas without letting us know what the little letters in there stand for and he also writes formulas differently than the book with little clear explanation of the differences... etc. It's horrible because he gives us no practice exercises or ways to duplicate (a few times) the things he is teaching so we can actually absorb it, and I don't know where to find exercises that pertain exactly to the things he is teaching. Oh yeah... and every single time (after we print out packets and bring them to class) he finds a few mistakes while he is teaching and then re-posts the packets so I have several copies of each with notes on various ones... Anyway, here are the objectives:
1. Use SPSS to run and interpret results for various analysis of variance models.
2. Compute numerical results for analysis of variance models.
3. Identify the advantages and disadvantages for various analysis of variance techniques.
4. Explain the logic of oneway ANOVA.
5. Explain why one would use oneway ANOVA and identify the situations where it would be appropriate.
6. Identify assumptions for the oneway ANOVA and describe conditions under which the F test is robust with respect to these assumptions.
7. Know the structural model for a oneway ANOVA.
8. Be able to interpret computer analysis output.
9. Be able to identify the situations where one would use a t-test and where one would use an ANOVA.
10. Be able to determine the entries in a oneway ANOVA source table.
11. Be able to identify the situations in which post-hoc tests are appropriate.
12. Know and be able to compute a post-hoc test.
13. Calculate and interpret effects size measures for ANOVA models.
14. Be able to define power
15. Explain Type I, Type II errors, Power, comparisonwise and familiywise error rates.
16. Explain effects of sample size, alpha, and the size of the difference between null and alternative means on power and error types.
17. Conduct and interpret power analyses for determining sample size for various ANOVA models.
18. Know what orthogonal and nonorthogonal hypotheses and contrasts are.
19. Be able to generate orthogonal contrasts.
20. Be able to perform planned orthogonal contrasts.
21. Know when one would perform a trend analysis
22. Know what information a treand analysis provides us with.
23. Be able to perform a trend analysis.
24. Write up results for various (univariate) analysis of variance models in APA style.
25. Choose the appropriate statistical test for answering a specific comparative research question.
26. Recognize and write comparative research questions that could be analyzed by a model learned in this course.
27. Objectively evaluate research reports in which (univariate) analysis of variance techniques were used.
