Question

in a repeated-measure Anova, what is the minimum number of treatment conditions needed ?

Answer #1

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**Solution:**

In case of a repeated-measure Anova model the minimum number of
treatment conditions needed is **3**. This is because
the variation analysis of two treatment would only require
comparison between the two. However , in case of a three treatment
model a repeated measure Anova model is preferred when the groups
are related and not independent and hence is used to analyse data
for three or more treatment effects.

*Thank you.*

A repeated-measures ANOVA with 5 treatment conditions and a
sample of n = 6 participants results in F = 5.33 For alpha of .05
and alpha of .01 do you reject the null hypothesis or not?

for
an anova, the within-treatments variance provides a measure of the
variability inside each treatment condition.
true or false

A repeated-measures study comparing four treatment conditions
with a sample of n = 7 participants would produce an F-ratio with
df = 3, 18.
True
False

what are the adavantages of running a repeated measures anova as
opposed to a one way anova?

what are the adavantages of running a repeated measures anova as
opposed to a one way anova?

The following table shows the results of a repeated-measures
analysis of variance, comparing four treatment conditions with a
sample of n = 8 participants. Note that several values are missing
in the table. What is F for this data?
Source
SS
df
MS
Between
45
Within
135
Bet sub
30
error
105
Total
180

Give an example of an experiment when a repeated measures ANOVA
would be appropriate.
and
What is the purpose of using an ANCOVA instead of an ANOVA?

The following data were obtained from a repeated- measures
study comparing three treatment conditions. Conduct a hypothesis
test to examine whether there was a significant treatment effect
(alpha = .05, follow four-step procedure)
Treatment
Participant
I
II
III
P
A
6
8
10
24
G = 48
B
5
5
5
15
ΣX2 = 294
C
1
2
3
6
D
0
1
2
3
T = 12
T = 16
T = 20
SS = 26
SS = 30...

Testing for a(n) _____ with ANOVA allows us to determine whether
the results of a treatment vary depending on the groups or
conditions in which it is applied.
Answer- interaction

1)
A student randomly and independently samples and assigns 9
participants to one of 5 conditions. She gives each group a
treatment she believes will affect performance on the dependent
measure. Higher scores indicate better performance. The ANOVA
summary table is from the data that she has collected. Find
the dfbetween. If needed, please round to two
decimal places.
Source
SS
df
MS
F
Between
78
Within
45
2)
A student randomly and independently samples and assigns 9
participants to...

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