QUESTIONS WITH ANSWERS
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how to determine makeup of factorial designs - CORRECT
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ANSWERS ✔✔typically an AXB type system
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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
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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
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ANSWERS ✔✔main and interaction effects
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,main effects - CORRECT ANSWERS ✔✔effect on ONE IV without
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consideration for the other
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# of main effects = # of IV's being tested
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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)
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7 effects
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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
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interaction) being tested for is - CORRECT ANSWERS ✔✔2n - 1
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where n is the number of IVs |/ |/ |/ |/ |/ |/
, Example, in a 3-way factorial design, n = 3, therefore the total
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number of effects being tested for is 23 - 1, which is 8-1 = 7
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if given a table of means, how do we determine if there are
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significant main and/or interaction effects - CORRECT ANSWERS
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✔✔Main effects are found by comparing the marginal means
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(compare the row means to each other to determine the main
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effect of that IV, compare the column means to each other to
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determine the main effect of that IV)
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Interaction effects are found by comparing the patterns in the
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cell means
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Factorial designs may be - CORRECT ANSWERS ✔✔all-between,
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all-within, or mixed (at least 1 of each type)
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P x E design and why the P is usually (not always) a between-
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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)
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environment = either between (multiple environments) or within |/ |/ |/ |/ |/ |/ |/
(just one)
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