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Topics. The schedule below will probably flex as the course progresses; changes will be announced in class. The order of topics will remain the same but the duration allocated to each may change, and some topics may have to be dropped if there is insufficient time.
Homework assignments. Notice that homework is assigned on Tuesdays, and is due the following Tuesday, when another assignment is given. This schedule is designed so that the Thursday/Friday lab sessions can be partially devoted to discussions of the current week's homework. Homework assignments will be linked into the schedule below as they are created.
Lab projects and quizzes. Each week's lab session will have a required in-lab project and/or in-lab quiz. You must attend either the Thursday or Friday lab session every week. Information pertinent to the lab sessions will be linked into the schedule below as it is created.
Exams. There are presently no scheduled in-class exams, but it is possible that need might arise to have some in-class quizzes, which will be announced ahead of time. There will not be a final exam.
Single factor between subject designs; contrasts.
Wk.
Date
Homework
Due/
Asgnd.Topic
(Ch.# refers to Maxwell & Delaney textbook)Theme
1
Tu 9 Jan
- /
Asgnd
Ch. 3 (pp. 76-98): Single factor (a.k.a. oneway) between subjects designs.
If you want a review of basic statistics, see:
Intro. to model comparison approach.
Th 11 Jan
Lab
2
Tu 16 Jan
Due /
Asgnd
Ch. 3 (pp. 98-126).
Th 18 Jan
Lab
3
Tu 23 Jan
Due /
Asgnd
Ch. 4: Constrasts.
Th 25 Jan
Lab
4
Tu 30 Jan
Due /
Asgnd
Ch. 5: Multiple contrasts.
Th 1 Feb
Lab
5
Tu 6 Feb
Due /
Asgnd
Ch. 2: Especially overview of designs, pp. 56+.
Ch. 7 (through p. 283): Two-factor between subject designs.
Multi-factor between subjects designs.
Th 8 Feb
Lab
6
Tu 13 Feb
Due /
Asgnd
Ch. 7: Two-factor between subject designs.
Th 15 Feb
Lab
7
Tu 20 Feb
Due /
Asgnd
Ch. 8: Multi-factor between subjects designs.
Th 22 Feb
Lab
8
Tu 27 Feb
no class
(Prof. Kruschke at Air Force Office of Scientific Research
conference.)
Between subjects designs with covariates or random factors.
Th 1 Mar
Due /
Asgnd /
Lab
Ch. 9: Analysis of covariance (ANCOVA).
9
Tu 6 Mar
Th 8 Mar
no class
(Prof. Kruschke at Society of Experimental
Psychologists conference.)
Spring Break
Tu,Th 13,15 Mar
no class
10
Tu 20 Mar
Due /
Asgnd
Ch. 10 (pp. 469-493): Random factors.
For lab, print out the linked pages and bring them to lab; also bring the power charts from the textbook.
Th 22 Mar
Lab
11
Tu 27 Mar
Due /
Asgnd
Ch. 11: Univariate single factor within subjects.
Within subject designs.
Th 29 Mar
Lab
12
Tu 3 Apr
Due /
Asgnd
Ch. 12: Univariate multi-factor within subjects.
Th 5 Apr
Lab
13
Tu 10 Apr
Due /
Asgnd
Ch. 13: Multi-variate single factor within subjects.
Th 12 Apr
Lab
14
Tu 17 Apr
Due /
Asgnd
Ch. 14: Multi-variate multi-factor within subjects.
Th 19 Apr
Lab
15
Tu 24 Apr
Due /
Asgnd(!)
Regression tutorial on CD.
Appendix B.I: Regression and ANOVA.
Ch. 6: Trend analysis.
Ch. 1: Logic of inference. Review and Overview.
Relations of regression and ANOVA.
Th 26 Apr
Lab(!)
Finals
Tu 1 May
Due 9:30am
No Final Exam.