Advanced experimental design and analysis

Spring 2011
Razia Azen

ED PSY 824: Advanced Experimental Design and Analysis
Instructor: Razia Azen
e-mail: azen@uwm.edu
phone: 229-5173
Office: 769 Enderis Hall
Office hours: By appointment – please contact me (preferably by e-mail) to set up a time to meet as necessary.
This course will introduce students to data analysis techniques appropriate for specific experimental designs, most
of which are extensions of the Analysis of Variance. The objectives of the course are to enable students to:
Identify the most appropriate analysis for research questions pertaining to data typically collected through
experiments.
Use statistical software to appropriately analyze the data and interpret the statistical information.
Clearly communicate the results of statistical analyses to address the research questions of interest.
The focus will be to expose students to experimental designs and analyses that they may need to use in their own
research or encounter in reading research articles.
COURSE WEB PAGE: https://pantherfile.uwm.edu/azen/www/edpsy824.html. The web page contains the homework
assignments, useful links, contact information and general announcements.
PRE-REQUISITES: A graduate-level statistics course (e.g., ED PSY 724) that included factorial ANOVAs as well as
regression and statistical computing.

TEXTBOOK: DESIGNING EXPERIMENTS AND ANALYZING DATA, second edition, by Scott E. Maxwell and
Harold D. Delaney, published by Lawrence Erlbaum Associates (now Taylor & Francis), 2004. Bring the
textbook to class!
COMPUTING: A hand calculator may be useful for in-class and homework assignments. Students will be required
to use some statistical software (such as SPSS or SAS). Students are expected to already be proficient in at least
one software package. In class emphasis will be on demonstrating the use of SAS, but students who wish to use
other software packages are welcome to do so on their own.
COURSE STRUCTURE AND STUDENT EVALUATION:
- Homework: Homework problems will be assigned every week and collected approximately every two weeks (due
dates and assignments will be posted on the course web page). Problems will be posted on the course web page
on a weekly basis and students are strongly encouraged to do the problems each week and not leave them until
they are due. The homework is intended to give you hands-on practice with the concepts we cover and to ensure
that you are keeping up with the material. Each problem will be graded on a three-point scale to indicate the
level of accuracy and understanding reflected in your answer:
Points Interpretation
3
Complete, clear and correct.
2
Some mistakes and/or misconceptions, somewhat unclear or incomplete.
1

Many mistakes and/or misconceptions, very unclear or incomplete.
0
Not done or barely attempted.
You need to make sure that you are clearly communicating your understanding in your answers. Homework
grades and comments are designed to provide you with feedback on your level of understanding and
communication, but if you find the feedback insufficient it is your responsibility to make sure you understand
what you did wrong (and get help if you don’t). Late homework assignments will be accepted with a 10% point
deduction for each day they are late (in other words, you will lose 10% of the total number of points for the
assignment for each day it is late). It is your responsibility to turn your homework in on the due date (even if
you are absent)! In addition, each student is expected to submit his or her own independent work.
- Exams: There will be one mid-term exam as well as a final exam. These will be take-home exams.
There will be NO extra credit option in this course.

Spring 2011
Razia Azen

The weights assigned to each of the three components will be:
Homework
25%
Mid-term exam

35%
Final exam
40%
Using these weights, final scores (out of 100) will be computed and these will be converted to letter grades as
follows:
A
AB+
B
BC+
C
CD+
D
DF
90-100 85-89 80-84 75-79 70-74 67-69 63-66 60-62 57-59 53-56 50-52 below 50
UNIVERSITY POLICIES: Policies regarding participation of students with disabilities, accommodations for religious
observances, academic misconduct, student complaints, grade appeals, sexual harassment, attendance, and
assignment of a grade of "incomplete" are available at http://www.uwm.edu/Dept/SecU/SyllabusLinks.pdf.
Students should review these policies at the start of the course.
A note about cell phones: As a courtesy to the instructor and your fellow students, please turn OFF your cell
phone ringer during class. If you must have it on for emergencies, please make sure that no one calls you for

any reason other than a true emergency.
TENTATIVE SCHEDULE
Week

Date

Topic

Reading

1

Jan. 26

Review: One-way Analysis of Variance

Chapters 1-3

2


Feb. 2

Review: Contrasts and multiple comparisons

Chapters 4-5

3

Feb. 9

Two-way ANOVA and non-orthogonal designs

Chapter 7

4

Feb. 16

Factorial ANOVA


Chapters 7-8

5

Feb. 23

Factorial ANOVA

Chapter 8

6

Mar. 2

ANCOVA and Blocking

Chapter 9

7


Mar. 9

ANCOVA and Blocking

Chapter 9

8

Mar. 16

Random or Nested Factors
Mid-term exam handed out

Chapter 10

9

Mar. 23

Spring Break


10

Mar. 30

One-way Within-subjects (repeated measures) ANOVA

Chapter 11

11

Apr. 6

Higher-order Within-subjects (repeated measures) ANOVA

Chapter 12

12

Apr. 13


Within and Between subjects ANOVA designs

Chapter 12

13

Apr. 20

One-way Within-subjects (repeated measures) ANOVA
(Multivariate approach)

Chapter 13

14

Apr. 27

Higher-order Within-subjects (repeated measures) ANOVA
(Multivariate approach)


Chapter 14

15

May 4

Within and Between subjects ANOVA designs (Multivariate approach)
Final exam handed out

Chapter 14

16

May 11

To be determined (possibly a summary and review)

TBD