graded A+ passed
1. What is a multiple factor (factorial) experiment
factorial
ANOVA?
when there are more than 2 IVs
2. When do you
use factorial
ANOVA?
3. What is the facto- - a way to summarize the design of a study numerically
rial notation sys- tentially exist in a factorial design?
tem?
4. What result
do you get
from the
factorial
notation
system?
5. Main effects
vs.
interactions in
factorial
designs?
6. How many
main effects
could po-
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, PBSI 301 Exam 4 questions with verified answers
graded A+ passed
-the number of numbers = factorial notation to get the number of conditions (the # of means or # of
the number of factors cells in the design), ex: 3 × 4 × 5 = 60 conditions
(independent variables), ex:
3
× 4 × 5 (3 factors)
-the value of the numbersmain
= ettects: the overall ettect of a single factor, the ettect of one factor, ignoring
the number of levels for the other factor(s), ex: (1) the ettect of exercise type (ignoring age) & (2)
each factor, ex: 3 × 4 × 5 the ettect of age (ignoring exercise type)
(one has 3 levels, one has interactions: when the ettect of one factor depends on the level(s) of another
4 levels, one has 5 levels) factor, ex: if the ettect of exercise type depends on age
ou multiply the numbers in the many as there are factors (2 factors = 2 possible main ettects)
7. How can you spot main ettects - find the means of the columns and rows then
compare
main effects & interactions - subtract the columns and the rows then compare, ex: young ppl lose
interactions more doing low impact exercise (10 - 30 = -20) & old ppl lose more
with the doing high impact exercise (30 - 10 = 20)
means? *DOES NOT TELL YOU IF THEY ARE SIGNIFICANT
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