36-309/749 Experimental Design for Behavioral and Social Sciences

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Course Information

Syllabus: (pdf file)

Meeting Times: 

Lectures: 12:00-1:20 DH2210 (Tuesdays only) 
Labs: 
  [Section A]: Thursdays, 12:00-1:20
  [Section B]: Thursdays, 1:30-2:50
  [Section C]: Fridays, 12:00-1:20
  [Section D]: Fridays, 1:30-2:50
Office Hours: 
              TAs:  

Final Exam: TBA (Do not make travel plans before knowing the date!!)

No calculator allowed.  Bring one sheet of notes (two sides allowed).

Staff Information

Professor: Howard Seltman  
36-749 TA:

Textbook

The text book is on-line at http://www.stat.cmu.edu/~hseltman/309/Book/
Thanks to Peter Story for preparing the epub version for tablets and phones

An alternate textbook choice is Doing Statistics with SPSS by Kerr, Hall and Kozub (Sage Publications, 2002, ISBN 0 7619 7385 0). If you use this book, be sure to print out the Errata.

Lecture Notes

Final Review (Dec. 8): LecFR.pdf
Mixed Models (HLM) (Dec. 1): Lec11.pdf   Lec11-4up.pdf     Reading: chapter 15
Categorical Outcomes (Nov. 17): Lec10.pdf   Lec10-4up.pdf     Reading: chapter 16
Within-Subject Designs (Nov. 10): Lec9.pdf   Lec9-4up.pdf     Reading: chapter 14
Contrasts and Multiple Complarisons (Nov. 3): Lec8.pdf   Lec8-4up.pdf     Reading: chapter 13
Power (Oct. 27): Lec7.pdf   Lec7-4up.pdf     Reading: chapter 12
Midterm Review (Oct. 13): LecMR.pdf   LecMR-4up.pdf
Two-way ANOVA (Oct. 6): Lec6.pdf   Lec6-4up.pdf     Reading: chapter 11
ANCOVA (Sep. 29): Lec5.pdf   Lec5-4up.pdf     Reading: chapter 10
Simple Linear Regression (Sep. 22): Lec4.pdf   Lec4-4up.pdf     Reading: chapter 9
Experimental Design Principles (Sep. 15): Lec3.pdf   Lec3-4up.pdf     Reading: chapter 8
Theory (Sep. 8): Lec2.pdf   (Lec2-4up.pdf)     Reading: chapters 6 (t-test) and 7 (one-way ANOVA)
Intro (Sep. 1): Lec1.pdf     Reading: chapter 1 (brief course overview), chapters 2 and 4 (review), and chapter 5 (new material on SPSS)

Labs

Homework: All homework is due by 3:00 PM Wednesdays to BH132L (or in class Tuesday)

Links

Some Advice
Math Review Sheet
SPSS links
Cluster Information
Virtual Andrew

Exams