Question

1. Using the two-way mixed ANOVA, different participants are observed at each level of the between-subjects factor, and the same participants are observed across the levels of the within-subjects factor. TRUE OR FALSE

2. A researcher computes two 2 × 2 between-subjects ANOVAs. In Study 1, he observes 8 participants in each cell; in Study 2, he observes 12 participants in each cell. Which study is associated with a larger value for degrees of freedom for the A × B interaction?

a. Study 1

b. Study 2

c. Both studies have the same degrees of freedom for the A × B interaction.

3. The following APA summary of a significant main effect is
correctly stated: “The main effect of comprehension level was
significant, F(2, 30) = 3.07, *p* < .05 ( *R*
* ^{2}* = .18). TRUE OR FALSE

4. When the same participants are observed in each cell or group, we use the two-way between-subjects ANOVA to analyze the data. TRUE OR FALSE

Answer #1

1. TRUE

In a two way mixed anova, participants are randomly allotted to each treatment and hence there are different participants at each level of between subjects factor but same participants are observed across the levels of the within-subject factors.

2. C) Interaction term has the degrees of freedom as (r-1)*(c-1) where r and c are the levels in each factor. Hence, it will be same in both the studies

3. FALSE It does not tell us the effect on which dependent variable in the APA summary

4. FALSE Between-subjects should have different participants and not the same because it tests the difference in means between different groups.

1. A “one-way” between-subjects ANOVA is conducted when data are
recorded in one group.
True
False
2. Post hoc tests control for the total alpha level for a series
of tests conducted on the same data.
True
False
3. All post hoc tests control for the effect size of a
significant result.
True
False
4. A one-way between-subjects ANOVA is conducted to test for
mean differences between the levels of two or more factors.
True
False
5. A researcher conducts...

Question 15
Using a between-subjects ANOVA design, ______.
a. n participants are observed k times
b. the same participants are observed in each group
c. n · k participants are each observed one time
d. data are not analyzed between groups

How do you calculate degrees of freedom for within and between
subjects in one way ANOVA? Does the calculation formula change for
2 way (factorial) ANOVA?

Problem No 1:
What is the main difference between one-way ANOVA and three-way
ANOVA? (1 point)
In two-way ANOVA, what is the effect on dependent variable you
are able observe otherwise not possible if running two separate
studies with one-way ANOVA? (1 point)
What does a marginal mean represent? (1 point)
What does a cell mean represent? (1 point)
In a three-way ANOVA, how many interaction effects are to be
tested for significance? (1 point)

True or False:
A. You can perform a two-way ANOVA only when the sample
sizes are the same in all cells.
B. When interaction is present in a two-way ANOVA, the
main effects are always uninformative.
C. ANOVA assumes that the populations are Normal with
possibly different means and the same standard deviation and that
independent simple random samples are drawn from each
population.
D. ANOVA separates the total variation into parts of the
model and error. The model variation...

In a 3 × 3 between-subjects ANOVA with 5 participants per cell,
MSRows = 2.7, MSColumns
= 10.5, MSInteraction = 13.2, and
MSWithin = 2.5. What decision should the
researcher make regarding the main effect represented in the
rows?
a) The null hypothesis can be rejected at the .10 alpha level,
but not at the .05 or .01 alpha levels.
b) The null hypothesis can be rejected at the .05 alpha level,
but not at the .01 alpha level.
c)...

I have a three-group study that uses a one way ANOVA. Each group
has 40 participants in it.
1. how many degrees of freedom does the omnibus F test have?
2. suppose prior to data collection I have stated two hypotheses
backed by previous studies: (1) group a will score higher than
group s B and C combined. and (2) group B will score higher than
group C. What is my next step in the analysis?

In a 2-factor ANOVA, what happens to the variability associated
between treatments? (multiple choice)
It is separated into two components - Between Subjects and
Error
It is separated into three components - Main Effect A Main
Effect B and Interactions AxB
It is combined to create the total variance for the study
or
None of these explains what happens

Two Way Analysis of Variance results:
Responses: Recall
Row factor: Vivid
Column factor: Length
ANOVA table
Source
DF
SS
MS
F-Stat
P-value
Vivid
1
0
0
0
1
Length
1
32
32
10.666667
0.0309
Interaction
1
8
8
2.6666667
0.1778
Error
4
12
3
Total
7
52
Means table
1
2
1
5
3
4
2
7
1
4
6
2
4
Is there a significant main effect? If yes, is it a main effect
of vividness, length, or both?...

Is there any difference between a Factorial ANOVA and a One-Way
ANOVA?
Yes, a Factorial ANOVA has 2+ IVs, whereas a One-Way ANOVA has
only 1 IV.
Yes, the main purpose of a Factorial ANOVA is to test if two or
more groups are significantly different from each other, whereas a
One-Way ANOVA compares means across two or more independent
variables.
No, both tests are the same.
Yes, Factorial ANOVA results in the calculation of three F
ratios, whereas two...

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