Lecture
Click on number
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Topics
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Readings
from Chapters in Kirk
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Orientation to the course (Unit 0)
Research strategies, controling nuisance
variables
Experimental designs: An overview
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Chapter 1
Chapter 2
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Chi-square distribution
F-distribution and F statistic
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3.1
3.1, 3.4
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Please review the following topics on your
own.
Introduction to one-way ANOVA
An example of one-way ANOVA
Assumptions in ANOVA
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5.1, 5.2
5.3
3.5, 3.3 (fixed)
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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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Orthogonal planned comparisons
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4.1, 4.2
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Dunn's, Dunn-Sidak,and Holm's procedures
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4.3, 4.4
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Dunnett's multiple comparison test
Fisher-Hayter procedure
Newman-Keuls procedure
Comparison of comparison procedures
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4.3
4.5
4.7
4.8
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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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(The first take-home examination, Ch. 1-5,
9 in Kirk)
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Interpretation of interactions
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9.3, 9.6
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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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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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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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Introduction to randomized block (RB)
design
Generalized randomized block (GRB) design
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7.1,7.2,7.4
7.9, 7.10
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Introduction to Latin-square designs
An example of LS-p design
Latin-squares with replications
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8.1,8.2,8.3
8.5
14.9
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Introduction to & an example of
hierarchical design
Advantage and disadvantage of hierarchical
designs
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11.1-11.5
11.9
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(Article
Critique Due)
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Introduction to split-plot factorial (SPF)
designs
An example of SPFp.q design
Computational procedure for the SPFpq.r
design
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12.1
12.2, 12.3
12.8
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Computational procedure for the SPFp.qr
design
Assumptions underlying the SPF designs
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12.10
12.4
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Introduction to and an example of one-way
ANCOVA
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15.1-15.3
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Assumptions underlying ANCOVA designs
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15.4
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