Question

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 F ratios should be calculated in One-Way ANOVA.

Answer #1

Main difference between the Factorial ANOVA and a one way ANOVA is that the one way ANOVA deals only with single independent variables whereas the Factorial ANOVA deals with two or more independent variables

**therefore, option A is correct**

option B is incorrect because it states that one way ANOVA deals with more than two independent variable

option C is incorrect because these two are not same

option D is incorrect because one way has only one F ratio

1. Which of the following statements are true of One-way
ANOVA test?
a. It is a robust test (with sufficiently large samples and
relatively equal groups) even when the sample data are
statistically significantly different from normal distribution.
b. All of the other statements are correct.
c. It involves a dependent variable measured on a continuous
scale.
d. It involves an independent variable measured on a categorical
scale with 2+ groups/categories.
e.It compares the mean/average scores of the 2+ groups...

Part a: If the interaction in a two-way factorial ANOVA
is significant, then
A.
we need to test for all main effects.
B. we need to test for simple effects.
C.
we need to test for one of the main
effects.
D. None of above.
Part B: When testing for significant mean differences
among three groups means, doing independent t tests on all possible
pairwise comparisons will
A.not change the probability of a Type I
error.
B. increase the probability...

agree or not?
Question 1: what is a one-way analysis of variance used for
(Section 12-2)?
One-way ANOVA (Analysis of Variance), is a statistical test that
compares the variance in the group means within a sample while
considering only one independent variable or factor. The hypothesis
based test that is aimed to evaluate multiple mutually exclusive
theories about data. In a one-way ANOVA there will be two different
hypotheses. Meaning a test is done with two groups to see whether...

Fill in the blank:
a. The df-within for an ANOVA with 6 groups and 10 participants
in each group is _____
b. Error variance is ____ -- groups variance?
c. In a 2x2 ANOVA matrix of means, cell means tell us about the
interaction and _____ means tell us about the main effects.
d. The two primary statistical assumptions about the dependent
variable that should be met when you're conducting an ANOVA are
that the populations are _____ and _____...

14)
The primary reason for conducting a two-way ANOVA instead of a
one-way ANOVA is to:
a)
control for order effects
b)
explore the interaction effect of the independent
variables
c)
explore the interaction between the independent and the
dependent variables
d)
rule out third-variable problems
e)
look at independent variables that have more than 2 levels or
treatment conditions
.

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)

The one-way ANOVA is a generalization of what other statistical
test?
ANOVA is a generalization of the two-sample t test for
independent means.
ANOVA is a generalization of Levene's test for differences
between variations.
ANOVA is a generalization of the paired t test for
independent means.
ANOVA is not related to any other tests.
2. The conclusion that you would draw from the test above
is:
A. fail to reject the null hypothesis.
B. reject the null hypothesis. There is...

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 9
If you conduct a
One-Way ANOVA in SPSS and it is significant, which of the following
statements is true?
not all population
means are equal
it does not indicate
which groups significantly differ from others
all statements are
true
reject the null
hypothesis
Question 7
In an ANOVA, the
higher the F ratio, the more likely you are to
make a Type I
Error
make a Type II
Error
correctly reject the
null hypothesis
correctly accept the
null...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 4 minutes ago

asked 6 minutes ago

asked 45 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 3 hours ago