|Jump to:||Syllabus.||Schedule.||Oncourse (new window).|
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.
(Ch.# refers to Maxwell & Delaney textbook)
|1||Tu 9 Jan||- / Asgnd||
Ch. 3 (pp. 76-98): Single factor (a.k.a. oneway) between subjects designs.
Intro. to model comparison approach.
Single factor between subject designs; contrasts.
|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.|