Question 1

A 2 X 3 factorial design has three independent variables.

Accepted Answer

A) True 
 B)False

Question 2

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

Accepted Answer

A) Tukey HSD procedure 
B) informal examination of sample means 
C) F ratio 
D) t ratio 
A) Tukey HSD procedure 
B) informal examination of sample means 
C) F ratio 
D) t ratio

Question 3

When an interaction effect is statistically significant,the nature of the interaction can be determined using simple main effects analysis or interaction comparisons.

Accepted Answer

A) True 
 B)False

Question 4

Mean square within (MSWITHIN)can be defined as

Accepted Answer

A) variability due to the manipulation of the IV and disturbance variables. 
B) variability due to the manipulation of the IV. 
C) variability due to individual differences only (e.g.,analogous to the within subjects ANOVA.. 
D) variability in the data due to sampling error,disturbance variables,and individual differences. 
A) variability due to the manipulation of the IV and disturbance variables. 
B) variability due to the manipulation of the IV. 
C) variability due to individual differences only (e.g.,analogous to the within subjects ANOVA.. 
D) variability in the data due to sampling error,disturbance variables,and individual differences.

Question 5

The F tests for two-way between-subjects analysis of variance assume that the scores in each population:

Accepted Answer

A) are normally distributed 
B) have heterogeneous variances 
C) are positively skewed 
D) none of these 
A) are normally distributed 
B) have heterogeneous variances 
C) are positively skewed 
D) none of these

Question 6

Simple main effects analyses focus on 2 X 2 subtables within a factorial design.

Accepted Answer

A) True 
 B)False

Question 7

When a statistically significant main effect has only two levels,the nature of the relationship is determined in the same fashion as for the independent groups t test;if a statistically significant main effect has three or more levels,then the nature of the relationship is determined using an HSD procedure.

Accepted Answer

A) True 
 B)False

Question 8

In a follow-up test,two population means are considered to be different if the difference between their sample means is ____ the critical difference determined by Tukey's procedure.

Accepted Answer

A) less than 
B) greater than 
C) greater than or equal to 
D) equal to 
A) less than 
B) greater than 
C) greater than or equal to 
D) equal to

Question 9

When a main effect for a variable with 3 levels is statistically significant,the nature of the relationship can be determined by examining the group means.

Accepted Answer

A) True 
 B)False

Question 10

If a researcher suspects that the strength of the relationship in the population is .25 for the main effect of factor A,.03 for factor B,and .15 for the interaction effect as indexed by eta-squared,what sample size should she use per cell in a study involving four levels of factor A,two levels of factor B,and an alpha level of .05 in order to achieve a power of at least .95 for each effect?

Accepted Answer

A) 7 
B) 12 
C) 25 
D) 53 
E) 211 
A) 7 
B) 12 
C) 25 
D) 53 
E) 211

Question 11

Eta-squared can be used to assess the strength of the relationships for the two main effects,but not for the interaction effect.

Accepted Answer

A) True 
 B)False

Question 12

In a two-way between subjects ANOVA,the dependent variable is quantitative and measured on a level that at least approximates an ____________________ level of measurement.

Accepted Answer

The answer of In a two-way between subjects ANOVA,the dependent...

Question 13

Assume the following is a population means table:  
Using your knowledge of general patterns of plotted means in a two-way ANOVA,does there appear to be an interaction in this example?

Accepted Answer

A) Yes 
B) No 
C) Not enough information 
A) Yes 
B) No 
C) Not enough information

Question 14

In a two-way between-subjects ANOVA,a factor is another name for

Accepted Answer

A) an independent variable. 
B) each level of an independent variable. 
C) two or more independent variables. 
D) a disturbance variable. 
A) an independent variable. 
B) each level of an independent variable. 
C) two or more independent variables. 
D) a disturbance variable.

Question 15

When the sample sizes are the same in all cells,the two independent variables are _____ to each other

Accepted Answer

A) unrelated 
B) positively related 
C) negatively related 
A) unrelated 
B) positively related 
C) negatively related

Question 16

Two-way factorial designs allow us to address three important questions.What are they?

Accepted Answer

Two-way factorial designs allow us to ad

Question 17

Use the following information to answer the questions and do the calculations below.
One area of interest to social psychologists is how various factors influence outcomes of criminal trials.For example,a researcher might study the influence of characteristics of the defendant on jury decisions.Specifically,a researcher might be interested in how the type of crime and attractiveness of the defendant influence perceptions of guilt.In this example,a researcher could examine the individual effects of each factor as well as the interaction.Assume this study was conducted and the following data was obtained.
   
a.Calculate the sum of squares for factor A.
b.Calculate the sum of squares for factor B.
c.Calculate the sum of squares for the interaction.
d.Complete the summary table below.(NOTE: Students can be required to fill in all,or only parts,of the summary table. )

Accepted Answer

a. @#IMG-DLM& 
b. @#IMG-DLM& 
c. @#IMG-DLM& 
= 231

Question 18

What is one of the main advantages of the two-way between-subjects factorial design?

Accepted Answer

A) Participants participate in all groups. 
B) The joint effect of two variables can be examined. 
C) Sample size requirements are quite small. 
D) Normally distributed data is not requireD. 
A) Participants participate in all groups. 
B) The joint effect of two variables can be examined. 
C) Sample size requirements are quite small. 
D) Normally distributed data is not requireD.

Question 19

When the sample sizes in each cell are moderate to large in size and the same for all groups,the F test is quite robust to even marked departures from normality.

Accepted Answer

A) True 
 B)False

Question 20

After a 2 x 2 factorial ANOVA has been used to determine that a statistically significant relationship exists between the dependent variable and an independent variable,a(n)____ can be calculated to indicate the strength of the relationship.

Accepted Answer

A) t2 
B) Tukey's HSD 
C) eta2 
D) critical difference 
A) t2 
B) Tukey's HSD 
C) eta2 
D) critical difference

A 2 X 3 factorial design has three independent variables.

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

When an interaction effect is statistically significant,the nature of the interaction can be determined using simple main effects analysis or interaction comparisons.

Mean square within (MS_WITHIN)can be defined as

The F tests for two-way between-subjects analysis of variance assume that the scores in each population:

Simple main effects analyses focus on 2 X 2 subtables within a factorial design.

In a follow-up test,two population means are considered to be different if the difference between their sample means is ____ the critical difference determined by Tukey's procedure.

When a main effect for a variable with 3 levels is statistically significant,the nature of the relationship can be determined by examining the group means.

Eta-squared can be used to assess the strength of the relationships for the two main effects,but not for the interaction effect.

In a two-way between subjects ANOVA,the dependent variable is quantitative and measured on a level that at least approximates an ____________________ level of measurement.

Assume the following is a population means table: Using your knowledge of general patterns of plotted means in a two-way ANOVA,does there appear to be an interaction in this example?

In a two-way between-subjects ANOVA,a factor is another name for

When the sample sizes are the same in all cells,the two independent variables are _____ to each other

Two-way factorial designs allow us to address three important questions.What are they?

What is one of the main advantages of the two-way between-subjects factorial design?

When the sample sizes in each cell are moderate to large in size and the same for all groups,the F test is quite robust to even marked departures from normality.

After a 2 x 2 factorial ANOVA has been used to determine that a statistically significant relationship exists between the dependent variable and an independent variable,a(n)____ can be calculated to indicate the strength of the relationship.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 17: Two-Way Between-Subjects Analysis of Variance

A 2 X 3 factorial design has three independent variables.

If a statistically significant main effect has three or more levels,then the nature of the relationship is determined using a(n):

When an interaction effect is statistically significant,the nature of the interaction can be determined using simple main effects analysis or interaction comparisons.

Mean square within (MSWITHIN)can be defined as

The F tests for two-way between-subjects analysis of variance assume that the scores in each population:

Simple main effects analyses focus on 2 X 2 subtables within a factorial design.

In a follow-up test,two population means are considered to be different if the difference between their sample means is ____ the critical difference determined by Tukey's procedure.

When a main effect for a variable with 3 levels is statistically significant,the nature of the relationship can be determined by examining the group means.

Eta-squared can be used to assess the strength of the relationships for the two main effects,but not for the interaction effect.

In a two-way between subjects ANOVA,the dependent variable is quantitative and measured on a level that at least approximates an ____________________ level of measurement.

Assume the following is a population means table: Using your knowledge of general patterns of plotted means in a two-way ANOVA,does there appear to be an interaction in this example?

In a two-way between-subjects ANOVA,a factor is another name for

When the sample sizes are the same in all cells,the two independent variables are _____ to each other

Two-way factorial designs allow us to address three important questions.What are they?

What is one of the main advantages of the two-way between-subjects factorial design?

When the sample sizes in each cell are moderate to large in size and the same for all groups,the F test is quite robust to even marked departures from normality.

After a 2 x 2 factorial ANOVA has been used to determine that a statistically significant relationship exists between the dependent variable and an independent variable,a(n)____ can be calculated to indicate the strength of the relationship.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Mean square within (MS_WITHIN)can be defined as