Stats quiz 12, Factorial ANOVA (GLM 3), Stat Quiz 12, Stats quiz 12, Chapter 12, chp 12, Salkind 12, Stats, Statistics Final Exam
In a factorial design with two factors, if the effect of one factor appears to depend on the levels of the second factor, this is called:
(a) A factorial effect (b) An interaction effect (c) A main effect (d) An error b = Correct Answer
Which procedure is not suitable for interpreting interaction effects statistically?
(a) Tukey HSD (b) Bonferroni corrections of paired t-tests (c) Paired t-tests without correction (d) Simple effects c = Correct Answer
A factorial ANOVA is used to
(a) investigate the main effects of two independent variables. b - investigate the interaction effect of the levels for both independent variables. c - reduce error variance. d - All of these. (Correct Answer)
What is the appropriate statistical test for a factorial design?
(a) the Modes test (b) ANOVA (correct answer) (c) t-test (d) chi-square
This is another name for the factorial ANOVA:
A - One-way analysis of variance B - Two way analysis of variance C - Simple ANOVA D - Complex ANOVA Correct Answer B
In ANOVA, you have a main effect when ______. Answers: A factor significantly affects the outcome variable. An outcome significantly affects a factor. There is an interaction between factors. There is an interaction between outcomes.
A factor significantly affects the outcome variable.
If you find that income significantly varies on the basis of gender, you have"
A main effect
Which of the following most clearly differentiates a factorial ANOVA from a simple ANOVA?
An interaction effect Two main effects Two independent variables All of these (Correct Answer)
When you want to examine the impact of more than one dependent variable on the outcome variable, what type of ANOVA should be used ?
Factorial ANOVA
When you want to examine the impact of more than one independent variable on the outcome variable, what type anova should be used ?
Factorial anova
The factorial ANOVA can test main effects but not interaction effects.
False
The factorial ANOVA can test main effects but not interaction effects. Answers: True False
False
Which of the following is not a problem that post-hoc comparisons need to correct for?
Sibling error rates (correct answer) Experiment-wise error rates Per comparison error rates Family-wise error rates
In ANOVA, you have an interaction effect when ______. Answers: The effect of one independent variable differs based on the level of a second independent variable. The effect of one dependent variable differs based on the level of a second dependent variable. The effect of one dependent variable differs based on the level of a second independent variable. The effect of one independent variable differs based on the level of a second dependent variable.
The effect of one independent variable differs based on the level of a second independent variable
In ANOVA, you have an interaction effect when ______.
The effect of one independent variable differs based on the level of a second independent variable.
In the following main effect: F(1,9) = 1.67, p=0.229, what is 0.229 ?
The level of significance
The number of main effects is equal to
The number of independent variables
In the following main effect: F(1,9) = 1.67, p=0.229, what is 1.67 ?
The obtained value
How many independent variables were used and how were they measured in a three-way independent ANOVA?
Three independent variables all measured using different entities.
Three-way independent ANOVA
Three independent variables all of which are measured using different participants.
In the factorial ANOVA, participants are tested only once.
True
In the factorial ANOVA, participants are tested only once. Answers: True False
True
Interaction effects are between independent variables.
True
Interaction effects are between independent variables. Answers: True False
True
Like the scatter plot in a correlation, one of the easiest ways to see the magnitude of an interaction (or the absence of one) in a factorial ANOVA is to plot the means.
True
Like the scatter plot in a correlation, one of the easiest ways to see the magnitude of an interaction (or the absence of one) in a factorial ANOVA is to plot the means. Answers: True False
True
The test statistic used in the factorial ANOVA is the F-test. Answers: True False
True
Two Way Repeated-measures ANOVA
Two independent variables both measured using the same participants.
Two way mixed ANOVA
Two independent variables: one measured using different participants and the other measured using the same participants.
There is another name of the factorial ANOVA ?
Two-way analysis of variance (Correct answer) one way analysis of variance Simple ANOVA Complex ANOVA
The factorial ANOVA uses
Type lll sume of squres
A factorial ANOVA is this type of analysis
Univariate
If you find the income significant varies on the basis of gender, you have:
an Effect
When plotted on a graph, if the lines representing the effects of two variables cross, you have _______.
an interaction effect
When plotted on a graph, if the lines representing the effects of two variables cross, you have _______. Answers: an interaction effect no interaction effect possibly an interaction effect an effect that cannot be determined
an interaction effect
In a factorial anova, participants are tested:
exactly once
You wish to examine the impact of two different types of music (pop music and jazz music) and pet food served (wet food and dry food) on how often cats glare at their owners. Which of the following tests is appropriate to use?
factorial ANOVA
You wish to examine the impact of two different types of music (pop music and jazz music) and pet food served (wet food and dry food) on how often cats glare at their owners. Which of the following tests is appropriate to use? Answers: factorial ANOVA t-test for dependent samples t-test for independent samples one-way ANOVA
factorial ANOVA
A five-way independent ANOVA has how many independent variables?
five
The greatest benefit of the factorial ANOVA is that we can look at how variables
interact
If you find that income significantly varies on the basis of gender, you have ______.
main effect
When analysis of data reveals a difference between levels of a factor, what is this called?
main effect
When analysis of data reveals a difference between levels of a factor, what is this called? Answers: interaction effect factor effect level effect main effect
main effect
The factorial ANOVA is used when you have ______.
more than one independent variable
The factorial ANOVA is used when you have ______. Answers: one independent variable more than one independent variable two dependent variables two or more dependent variables
more than one independent variable
When plotted on a graph, if the lines representing the effects of two variables are parallel, you have _______.
no interaction effect
When plotted on a graph, if the lines representing the effects of two variables are parallel, you have _______. Answers: an interaction effect no interaction effect possibly an interaction effect an effect that cannot be determined
no interaction effect
You wish to examine the impact of three different types of wall paint colors (blue, green, and yellow) on how often toddlers cry. Which of the following tests is appropriate to use? Answers: factorial ANOVA t-test for dependent samples t-test for independent samples one-way ANOVA
one-way ANOVA
In the main effect F(1,9) = 1.67, p = .229, what does F stand for? Answers: the level of significance the critical value the F value the F statistic
the F statistic
In the main effect F(1,9) = 1.67, p = .229, what is .229?
the level of significance
In the main effect F(1,9) = 1.67, p = .229, what is .229? Answers: the obtained value the critical value the correlation the level of significance
the level of significance
The number of main effects is equal to:
the number of independent variables
In the main effect F(1,9) = 1.67, p = .229, what is 1.67?
the obtained value
In the main effect F(1,9) = 1.67, p = .229, what is 1.67? Answers: the obtained value the critical value the level of significance the correlation
the obtained value
How many null hypotheses are associated with a two-way ANOVA?
three
How many null hypotheses are associated with a two-way ANOVA? Answers: one two three four
three
The test statistic used in the factorial ANOVA is the F-test.
true
The factorial anova uses
type lll sume of squres
Imagine we conducted a three-way independent ANOVA. How many sources of variance would we have?
8
Imagine we conducted a study that found that pedestrians were more likely to give money to a street beggar if the beggar had a cute and hungry-looking dog with them, and this effect was identical for both male and female pedestrians. If we calculated the difference between men and women in the no dog condition and plotted this value against the difference between men and women in the dog condition, which of the following values is most likely to represent the gradient of our graph?
0 or Zero
Levene's Test
1- Levene's test is used to assess the tenability of the assumption of equal variances (Homogeneity of variance). 2- Levene's test looks at whether there are any significant differences between group variances. 3- If the test is not significant, the result is met. 4- If test is significant then step should be taken for the equalize variances through data transformation.
Which of the following would be an example of a design that examines the effects of gender and SES (high SES and low SES) on a test of student achievement?
2 × 2 ANOVA
Which of the following would be an example of a design that examines the effects of gender and SES (high SES and low SES) on a test of student achievement? Answers: one-way ANOVA 2 × 2 ANOVA multivariate ANOVA 3 × 2 ANOVA
2 × 2 ANOVA
How many research hypotheses are used in a 2 × 2 factorial ANOVA?
3
How many research hypotheses are used in a 2 × 2 factorial ANOVA? Answers: 1 2 3 4
3
What would the levels of the independent variables be for a two-way ANOVA investigating the effect of four different treatments for depression and gender?
4 and 2
In the factorial ANOVA, participants are tested:
Exactly one
The term Independent
If the different participants are used.
The term Repeated measure
If the smae participants are used
When analysis of data reveals differential effects of one factor across levels of another factor, what is this called ?
Interaction effect
The factorial ANOVA can be used to test
Main and interaction effects of the independent variables
The factorial ANOVA can be used to test:
Main and interaction effects of the independent variables
When type of design includes an ANOVA where one factor is repeated and the other is not ?
Mixed design
The factorial anova is used when you have
More than one independent vairable
The factorial ANOVA is used when you have:
More than one independent variable (correct answer) only one independent variable two dependent variable two or more dependent variables
Graph
Non-parallel lines indicate a significant interaction effect. When the lines cross, which indicates a fairly large interaction between independent variables.
How many dependent variables does a two-way ANOVA have?
One
One way Independent ANOVA
One-way independent variable measured using different participants.
Factorial ANOVA
When we use ANOVA to analyse a situation in which there are two or more independent variables.
When analysis of data reveals a difference between levels of a factor, what is this called ?
a - (Correct answer ) -Main effect b - Interaction Effect c - Simple Effect d - complex effect
Results from an ANOVA are placed in what type of table ?
a - Source Table (correct answer) b- ANOVA table c - Summary table d - Statistical table
If you find that income significantly varies on the basis of gender, you have ______. Answers: a main effect an interaction effect both a main effect and an interaction effect neither a main effect nor an interaction effect
a main effect
