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Lecture 9

PSYB01H3 Lecture Notes - Lecture 9: Repeated Measures Design, Complement Factor B


Department
Psychology
Course Code
PSYB01H3
Professor
Anna Nagy
Lecture
9

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Week 11 Lecture #9 Monday, July 20, 2015
Chapter 10: Complex Experimental Designs Factorial Designs
ReviewExperimental Designs
Independent Groups
Repeated Measures
Error VarianceGoal to reduce!
Complex Experimental Designs
- level 1: low, level 2: high, level 3: low,
- Was it possible to detect this relationship if only two levels of the IV were used in this
experiment?
Identifying Factorial Designs
system that simultaneously identifies the number of IV and the number of levels of each
IV
Number of Levels Number of Levels of Number of levels
of first IV X second IV X of third IV
Factorial Matrix
- look at all possible combinations of the different levels of each IV
Number of conditions can be determined by calculating the product of the numbers in the
notation system
3 X 3 = 9
2 X 2 X 4 = 16
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2-sec/word 4-sec/word
Imagey
Rote
Type of training
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Outcomes of factorial designs
Main effects
the overall effect of a single IV.
Soin a study with 2 IV, there can be at most 2 main effects
Determining the main effect for one IV involves combining all the data for each of the
levels of that factor
Main effect of type of training?
Overall 14.5 20.5
A2B2
A2B1
A1B2
A1B1
Factor B
Level B1 Level B2
Factor A
18
15.0
12
23 Overall
20.0
17
Presentation rate
2-sec/word 4-sec/word
Imagery
Rote
Type of
training
find more resources at oneclass.com
find more resources at oneclass.com
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