Objectives:The
course concentrates on the analysis of data obtained from experiments
in the behavioral sciences, especially psychology. Major emphasis is
placed on analysis of variance techniques going from simple
singlefactor independent group designs to multiplefactor designs
involving both between and within subject manipulations. General rules
are stressed.
After completing this course, students will be able to:  Think critically about the application of experimental and quasiexperimental designs in psychological research
 Use computers to conduct analyses and interpret their output
 Understand and apply appropriate statistical analyses for different types of experimental designs
 Apply data analysis skills to research in different areas of psychology
Text: Keppel, G., & Wickens, T. D. (2004). Design and Analysis: A Researcher's Handbook (4th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. (available at Norris Center bookstore).
 Other assigned articles or handouts available through this web site or in class
Class Meetings: Tuesdays and Thursdays: 9:30  10:50 AM
 Harris  Room 205
Requirements: An objective midterm exam near the middle of the term (October 21)
 An objective final exam (during the university final exam period)
 Weekly homework sets (Posted and due each Thursday starting the second week of class)
Grading: Homework  40%
 Midterm Exam  30%
 Final Exam  30%
Note:The
documents below are in PDF format. You will need a reader program, such
as Adobe Acrobat to read them. If you do not have such a program, a
free version is available here If
you woud like to print multiple pages of the PDF file onto one printer
page, here are instructions for some printers (note that some slight
modification might be required depending on printer used):  When in the PDF, click on the printer icon at the top of the page
 Click on the PROPERTIES button in the box that has appeared
 Change the PAGES PER SHEET to be whatever you prefer
 Click OK on the box that you made pop up by hitting PROPERTIES
 Click OK on the box that you made pop up by hitting the printer icon
You will be abe to save considerable pages this way and still use the PDF format.Course Outline:  Week  Topic  Course Notes  Reading  Problem Sets and Data  Week 1   Introduction to the course
 Experimental method
 randomization
 independence
 null hypotheses
 ThursdaySyllabus  Chapter 1  N/A  Week 2   null hypotheses
 partialing variance
 Fdistributions
 Comparing F distributions with other distributions
 Comparison of ANOVA with other methods
 Tuesday Thursday  Chapter 2 Chapter 3  Problem Set #1SPSS Data #1  Week 3   Assumptions made by the ANOVA
 What to do when the assumptions don't hold
 Effect Size
 Power
 Meaning of positive and negative results
 TuesdayData Set for 10/5Output from data set for 10/5 Thursday  Chapter 7Tukey's Ladder of Powers HandoutTabachanick and Fidell recommendations Chapter 8Wilkinson ArticleCohen Article  Problem Set #2  Week 4   Anaytic, Planned Comparisons
 Trend Analysis
 Tuesday Thursday  Chapter 4 Chapter 5  Problem Set #3  Week 5   Simultaneous Comparisons
 Midterm Examination  Thursday
 Tuesday Exam Solutions  Chapter 6 N/A  N/A  Week 6   Introduction to Factorial Design
 Two Factor Designs
 Main Effect Calculations
 More on Main Effects
 Simple Effects
 Tuesday Thursday  Chapter 10Chapter 11 Chapter 12  Problem Set #4  Week 7   More on Interactions and Calculations
 General Linear Model
 Unequal Sample Sizes
 Tuesday Thursday  Chapter 13 Chapter 14  Problem Set #5  Week 8   Analysis of Covariance
 Single Factor Within Subjects Design
 Tuesday Thursday  Chapter 15 Chapter 16  Problem Set #6  Week 9   Further Within Subjects Topics
 TwoFactor WithinSubjects Designs
 Tuesday Thursday  Chapter 17 Chapter 18  Problem Set #7  Due Tuesday, 11/30  Week 10   Mixed Design: Overall Analysis
 No Class Thursday  Thanksgiving
 Tuesday
 Chapter 19
 N/A  Week 11   Mixed Design: Analytical Analyses
 Catch Up / Review / Further Topics
 Tuesday Thursday
 Chapter 20 Chapter 26 (?)  N/A  Final Exam   Monday, December 6, 2004
 12:00  2:00 P.M.




References: Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155159.
 Tukey, J. W. (1977). Exploratory Data Analysis. Reading, MA: AddisonWesley Publishing Company.
 Tabachnick, B. G., & Fidell, L. S. (1996). Using Multivariate Statistics. (3rd ed.). New York: Harper Collins.
 Wilkinson,
L., & APA Task Force on Statistical Inference. (1999). Statistical
methods in psychology journals: Guidelines and explanations. American
Psychologist, 54, 594604.
Work Mentioned in Class: Cohen,
J. (1962) The statistical power of abnormalsocial psychological
research: a review. Journal of Abnormal and Social Psychology 69,
145153.
 Cohen, J. (1988) Statistical Power Analysis for the Behavioral Sciences. (2nd ed). Mahwah, NJ: Lawrence Erlbaum.
Some Other Useful Resources with Information on Statistics in Experimental Design: Abelson, R. P. (1995). Statistics as Principled Argument. New Jersey: Lawrence Erlbaum Associates.
 Hays, W. L. (1994). Statistics (5th ed.). Fort Worth, TX: Harcourt Brace College Publishers.
 Howell, D. C. (2001). Statistical Methods for Psychology (5th ed.). Belmont, CA: Duxbury Press.
 Kirk, R. E. (1995). Experimental Design: Procedures for the Behavioral Sciences. (3rd ed.). Pacific Grove, CA: Brooks/Cole.
 Kuehl,
R. O. (2000). Design of Experiments: Statistical Principles of Research
Design and Analysis (2nd ed.). Pacific Grove, CA: Duxbury Press.
 Maxwell,
S. E., & Delaney, H. D. (2004). Designing Experiments and Analyzing
Data: A Model Comparison Perspective. (2nd ed.). Mahwah, NJ: Erlbaum.
 Neter,
G., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996).
Applied linear statistical models (4th ed.). Boston, MA: McGrawHill.
 Pedhauzer,
E. J., & Pedhauzer Schmelkin, L. (1991). Measurement, Design, and
Analysis: An Integrated Approach. Hillsdale, NJ: Erlbaum.
 Rosenthal,
R., & Rosnow, R. L. (1991). Essentials of Behavioral Research:
Methods and Data Analysis (2nd ed.). Boston, MA: McGrawHill.
 Schinka,
J. A., & Velicer, W. F. (2003). Handbook of Psychology  Volume 2:
Research Methods in Psychology. Hoboken, NJ: John Wiley.
 Winer,
B. J., Brown, D. R., & Michels, K. M. (1991). Statistical Principles
in Experimental Design (3rd ed.). Boston, MA: McGrawHill.

