Hi
I have taught Intermediate Data Analysis and Research Methods
here for 10 or so years. It is a full year course required of
all honours students. Enrollment varies somewhat, but is usually
around 30-35. Students have already had 1/2 course in stats
followed by a 1/2 course in research methods. We have 3 hours of
lecture and 3 hours of labs each week, although when class is too
large for our computer lab (generally the case), we switch to 4
hours lecture and 2 hours lab, the latter being 1 hour in
computer room and 1 hour on tutorials (calculations by hand of
same data that they analyze in computer lab). I review the
correspondence in class following labs.
I do a review for the first 2-3 weeks, and then cover multiple
regression for the fall term. We spend a lot of time on
understanding the unique contribution of each predictor in
various ways. In the winter term, we cover ANOVA. Two-three week
chunks of stats material are interspersed with a week on methods
stuff (e.g., literature review, measurement, writing, graphing,
speaking, randomization, ...) and work on a class research
project each term (nonexperimental in fall and experimental in
winter). During the method material, they are also completing an
assignment on the stats material just completed. Assignments
involve unique random data sets for each student (same study, but
with their student Ids as seeds in spss). Students must do the
calculations to match the SPSS output and explain the analyses.
Lots of work (for few marks 6% each). "Real" evaluation comes in
test at end of each term. Tests are essentially calculations and
explanations of various analyses of a hypothetical study.
I never found a text that I was satisfied with (either too basic
or too sophisticated or did not cover material I wanted) so I use
a fairly complete manuscript of my home. Table of contents is
shown below (essentially a conceptual chapter followed by an SPSS
chapter). I usually don't get to all of the material in the last
few chapters each term. The SPSS stuff is mostly syntax-based on
Unix (which I prefer for teaching), although they do get some
Windows experience as well. For the methods stuff, I also have
draft chapters, although not as complete as for the stats
material.
1. Introduction and Review of Basic Statistics 1.1- 1.21
2. SPSS and Basic Statistics 2.1- 2.23
3. Bivariate Correlation and Regression 3.1- 3.16
4. SPSS Analyses for Bivariate Correlation 4.1- 4.14
5. Basics of Multiple Correlation and Regression 5.1- 5.11
6. SPSS and Multiple Regression Basics 6.1- 6.16
7. Measures of Change in Multiple Regression 7.1- 7.09
8. SPSS Analyses for MR Change Statistics 8.1- 8.17
9. MR with Multiple Predictors 9.1- 9.15
10. SPSS Analyses with Multiple Predictors 10.1-10.16
11. Interactions and Nonlinear Regression 11.1-11.14
12. Interactions and Nonlinear Relations in SPSS
12.1-12.17
Part II
13. Oneway Independent Groups ANOVA 13.1-13.16
14. SPSS Independent Groups ANOVA 14.1-14.13
15. Multiple Comparisons for Independent Groups ANOVA
15.1-15.27
16. SPSS Independent Groups Comparisons 16.1-16.18
17. Factorial ANOVA 17.1-17.17
18. Factorial ANOVA with SPSS 18.1-18.13
19. Multiple Comparisons for Factorial ANOVA 19.1-19.16
20. Mult. Comparisons for Factorial Designs in SPSS
20.1-20.24
21. Within-Subjects ANOVA 21.1-21.12
22. SPSS Analyses for Within-Subjects Designs 22.1-22.19
23. Within-Subject Factorial and Mixed Designs 23.1-23.14
24. SPSS Analyses for Within-Subject Factorials and Mixed
Designs 24.1-24.34
For what it is worth, I get positive feedback on the course from
students who go on to graduate school and even won a U of
Winnipeg award for teaching largely based on this course. I think
that an important part of the success of the course is the fact
that all of the course elements support one another very well
(and, of course, excellent TAs over the years).
If you are planning a course like this, do not underestimate the
resources necessary to make it work well.
Best wishes
Jim
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James M. Clark (204) 786-9757
Department of Psychology (204) 774-4134 Fax
University of Winnipeg 4L05D
Winnipeg, Manitoba R3B 2E9 [EMAIL PROTECTED]
CANADA http://www.uwinnipeg.ca/~clark
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