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Exam (elaborations)

PSY 290 - EXAM III (Stuetzle) QUESTIONS WITH ANSWERS.

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PSY 290 - EXAM III (Stuetzle) QUESTIONS WITH ANSWERS.











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Uploaded on
June 29, 2025
Number of pages
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Written in
2024/2025
Type
Exam (elaborations)
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Questions & answers

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PSY 290 - EXAM III (Stuetzle) |/ |/ |/ |/ |/




QUESTIONS WITH ANSWERS
|/ |/ |/




how to determine makeup of factorial designs - CORRECT
|/ |/ |/ |/ |/ |/ |/ |/


ANSWERS ✔✔typically an AXB type system
|/ |/ |/ |/ |/ |/




A = # of levels of first IV
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B = # of levels of second IV
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there is no such thing as a ______ X _______ design - CORRECT
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


ANSWERS ✔✔1 X ________
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first IV cannot have only 1 level (more be greater than one)
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# of conditions is found by - CORRECT ANSWERS ✔✔multiplying
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A by B
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ex: 2X4 deisgn |/ |/




has 8 conditions |/ |/




2 kinds of effects being tested for in a factorial design - CORRECT
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


ANSWERS ✔✔main and interaction effects
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,main effects - CORRECT ANSWERS ✔✔effect on ONE IV without
|/ |/ |/ |/ |/ |/ |/ |/ |/


consideration for the other
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# of main effects = # of IV's being tested
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/




ex: 4X6 design |/ |/ |/




# of main effects = 2
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interaction effects - CORRECT ANSWERS ✔✔the effect of one IV |/ |/ |/ |/ |/ |/ |/ |/ |/


depends on the level of the other IV
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# of interaction effects is calculated by how they can intersect
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ex: three-way design
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(A, B, C, AxB, BxC, AxBxC, AxC)
|/ |/ |/ |/ |/ |/




7 effects
|/




two requirements for factorial designs - CORRECT ANSWERS
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✔✔1) multiple IVs
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2) tests for interaction effects
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'shortcut' to determining the total number of effects (main and
|/ |/ |/ |/ |/ |/ |/ |/ |/


interaction) being tested for is - CORRECT ANSWERS ✔✔2n - 1
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/




where n is the number of IVs |/ |/ |/ |/ |/ |/

, Example, in a 3-way factorial design, n = 3, therefore the total
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


number of effects being tested for is 23 - 1, which is 8-1 = 7
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/




if given a table of means, how do we determine if there are
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


significant main and/or interaction effects - CORRECT ANSWERS
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✔✔Main effects are found by comparing the marginal means
|/ |/ |/ |/ |/ |/ |/ |/ |/


(compare the row means to each other to determine the main
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


effect of that IV, compare the column means to each other to
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


determine the main effect of that IV)
|/ |/ |/ |/ |/ |/ |/




Interaction effects are found by comparing the patterns in the
|/ |/ |/ |/ |/ |/ |/ |/ |/


cell means
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Factorial designs may be - CORRECT ANSWERS ✔✔all-between,
|/ |/ |/ |/ |/ |/ |/


all-within, or mixed (at least 1 of each type)
|/ |/ |/ |/ |/ |/ |/ |/ |/




P x E design and why the P is usually (not always) a between-
|/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/ |/


subjects variable - CORRECT ANSWERS ✔✔person x environment
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person = almost ALWAYS a between-variable... because it is a
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subject variable (what they walk in with)
|/ |/ |/ |/ |/ |/ |/ |/




environment = either between (multiple environments) or within |/ |/ |/ |/ |/ |/ |/


(just one)
|/ |/

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