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Advanced experimental design and analysis

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Spring 2011 Razia Azen ED PSY 824: Advanced Experimental Design and Analysis

Instructor: Razia Azen e-mail: [email protected] 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.

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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 90-100

A- 85-89

B+ 80-84

B 75-79

B- 70-74

C+ 67-69

C 63-66

C- 60-62

D+ 57-59

D 53-56

D- 50-52

F 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

Referensi

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