Schedule
In this section, you will find the course schedule,
including assignments, readings, and other useful
information.
The specific dates for each lecture can be found on a
handout that will be provided to you in class.
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Lecture
Click on number to view
notes
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Topics
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Readings
from Chapters in Kirk
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1
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Orientation to the course (Unit
0), Research strategies,
controlling nuisance variables
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Chapter 1
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2
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Experimental designs: An overview
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Chapter 2
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3
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Chi-square distribution
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3.1
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4
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F-distribution and F statistic
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3.1, 3.4
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---
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Please review the following
topics on your own:
- Introduction to one-way
ANOVA 5.1,5.2
- An example of one-way
ANOVA 5.3
- Assumptions in ANOVA 3.5,
3.3 (fixed)
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---
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5
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Post-hoc (A Posteriori) comparisons of
means
w squared
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4.5(Tukey),4.6(Scheffe)
5.4, 5.5
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6
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Orthogonal planned comparisons
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4.1, 4.2
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7
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Dunn's, Dunn-Sidak procedures
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4.4
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8
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Holm's and Dunnett's procedures
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4.3, 4.4
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9
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Fisher-Hayter procedure
Newman-Keuls procedure
Comparison of comparison procedures
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4.5
4.7
4.8
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10
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Introduction to 2-way ANOVA
Example of a 2-way ANOVA
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9.1, 9.2
9.3, 9.4
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11
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Interpretation of interactions
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9.3, 9.6
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12
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w squared, Effect size, power, and sample
size determination
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9.8, 5.6
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---
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(The first take-home examination, Chapters
1-5, and 9 in Kirk)
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---
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13
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CR-p design: Random-effect model approach
CRF-pq design: Random-effect model approach
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5.8
9.4, 9.10
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14
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Pooling strategies used in random-effect
models
Rules for deriving expected values of mean
squares
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9.11
9.9
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15
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Introduction to randomized block (RB)
design
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7.1,7.2,7.4
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16
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Generalized randomized block (GRB) design
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7.9, 7.10
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17
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Introduction to Latin-square designs
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8.1,8.2,8.3
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18
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An example of LS-p design
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8.5
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19
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Latin-squares with replications
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14.9
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20
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Introduction to & an example of
hierarchical design
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11.1-11.5
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---
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(Spring Break and the first article
critique)
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---
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21
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Advantagesand disadvantages of hierarchical
designs
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11.9
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22
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Introduction to split-plot factorial (SPF)
designs
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12.1
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23
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An example of SPFp.q design
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12.2, 12.3
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24
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Assumptions underlying the SPF designs
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12.4
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---
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(The second article
critique)
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---
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25
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Computational procedure for the SPFpq.r
design
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12.8
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26
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Computational procedure for the SPFp.qr
design
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12.10
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27
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Introduction to and rationale for ANCOVA
an example of one-way ANCOVA
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15.1, 15.2
15.1-15.3
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28
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Assumptions underlying ANCOVA designs
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15.4
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29
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Two-way ANCOVA
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15.9
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30
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Advanced topics
Course
evaluation and wrap-up
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---
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---
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(The second take-home examination, Section
5.8, Chapters 7-9, 11,12, and 15 in
Kirk)
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Note: This is a tentative course schedule which
is subject to change without prior notice. Changes to the
syllabus depend on the pace of classroom instruction and
students' learning. Any change in the syllabus will be
communicated to each enrolled student via electronic
mail.
URL:
http://www.indiana.edu/~jopeng/Y603/schedule.html
Comments: peng@indiana.edu
Dr. Peng's Home Page: Dr.
Chao-Ying Joanne Peng
Copyright
1998, The Trustees of Indiana
University
