Class Notes (1,100,000)

CA (650,000)

UTSC (30,000)

Psychology (9,000)

PSYB01H3 (200)

Anna Nagy (100)

Lecture 9

Department

PsychologyCourse Code

PSYB01H3Professor

Anna NagyLecture

9This

**preview**shows pages 1-2. to view the full**6 pages of the document.**Week 11 – Lecture #9 Monday, July 20, 2015

Chapter 10: Complex Experimental Designs Factorial Designs

Review—Experimental Designs

Independent Groups

Repeated Measures

Error Variance—Goal 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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Type of training

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Outcomes of factorial designs

Main effects

the overall effect of a single IV.

So—in 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

Level A1

Level A2

Factor A

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2-sec/word 4-sec/word

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training

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