Exam 16: Two-Way Between-Subjects Analysis of Variance

In order to determine whether there is a relationship between the IV and the DV in a two-way ANOVA,the ____________________ statistic is calculated.

Free

(Short Answer)

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Question 1

Correct Answer:

Verified

The two-way between-subjects ANOVA is appropriate for use with a dependent variable that is quantitative or qualitative.

Free

(True/False)

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Question 2

Correct Answer:

Verified

False

Assuming there are unequal numbers of subjects in each group,the main effect means can be calculated by taking the sum of the two cells in a given column.

Free

(True/False)

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Question 3

Correct Answer:

Verified

False

An advantage of the two-way ANOVA is that we can study the joint effects of two variables.

(True/False)

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Question 4

Factorial designs can be used to study

(Multiple Choice)

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Question 5

If a researcher suspects that the strength of the relationship in the population is .30 for the main effect of factor A,.10 for factor B,and .07 for the interaction effect as indexed by eta-squared,what sample size should she use per cell in a study involving three levels of factor A,five levels of factor B,and an alpha level of .05 in order to achieve a power of at least .80 for each effect?

(Multiple Choice)

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Question 6

As the number of groups in the factorial design increases,_____ becomes increasingly problematic.

(Multiple Choice)

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Question 7

As with the sums of squares,the mean squares are additive,such that: MS_TOTAL = MS_A + MS_B + MS_AxB + MS_WITHIN

(True/False)

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Question 8

In two-way between-subjects analysis of variance,the relevant mean squares are obtained by dividing the sum of squares for each source of between-group variability by its degrees of freedom.

(True/False)

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Question 9

In the two-way ANOVA,which of the following sources of variability is NOT a component of the sum of squares between?

(Multiple Choice)

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Question 10

A statistically significant interaction effect in a two-way ANOVA means that the effect of one variable ____________________ the level of the second variable.

(Short Answer)

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Question 11

In two-way between-subjects analysis of variance,df_TOTAL = N - 1.

(True/False)

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Question 12

The strengths of the relationships for the three sources of between-group variability are assessed with:

(Multiple Choice)

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Question 13

In general,statisticians recommend the use of _ over _ in determining the nature of a statistically significant interaction effect.

(Multiple Choice)

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Question 14

The problem of an inflated Type I error rate can be controlled for interaction comparisons by using a:

(Multiple Choice)

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Question 15

In a 2 X 3 factorial design,there are ____________________ groups. or

(Short Answer)

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Question 16

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

(Multiple Choice)

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Question 17

Two-way factorial designs allow us to study:

(Multiple Choice)

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Question 18

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?

(Multiple Choice)

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Question 19

The total sum of squares in two-way between-subjects analysis of variance can be represented as SS_TOTA_L = SS_WITHIN + SS_ERROR.

(True/False)

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Question 20

Showing 1 - 20 of 117

In order to determine whether there is a relationship between the IV and the DV in a two-way ANOVA,the ____________________ statistic is calculated.

The two-way between-subjects ANOVA is appropriate for use with a dependent variable that is quantitative or qualitative.

Assuming there are unequal numbers of subjects in each group,the main effect means can be calculated by taking the sum of the two cells in a given column.

An advantage of the two-way ANOVA is that we can study the joint effects of two variables.

Factorial designs can be used to study

As the number of groups in the factorial design increases,_____ becomes increasingly problematic.

As with the sums of squares,the mean squares are additive,such that: MS_TOTAL = MS_A + MS_B + MS_AxB + MS_WITHIN

In two-way between-subjects analysis of variance,the relevant mean squares are obtained by dividing the sum of squares for each source of between-group variability by its degrees of freedom.

In the two-way ANOVA,which of the following sources of variability is NOT a component of the sum of squares between?

A statistically significant interaction effect in a two-way ANOVA means that the effect of one variable ____________________ the level of the second variable.

In two-way between-subjects analysis of variance,df_TOTAL = N - 1.

The strengths of the relationships for the three sources of between-group variability are assessed with:

In general,statisticians recommend the use of _ over _ in determining the nature of a statistically significant interaction effect.

The problem of an inflated Type I error rate can be controlled for interaction comparisons by using a:

In a 2 X 3 factorial design,there are ____________________ groups. or

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

Two-way factorial designs allow us to study:

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?

The total sum of squares in two-way between-subjects analysis of variance can be represented as SS_TOTA_L = SS_WITHIN + SS_ERROR.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

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 16: Two-Way Between-Subjects Analysis of Variance

In order to determine whether there is a relationship between the IV and the DV in a two-way ANOVA,the ____________________ statistic is calculated.

The two-way between-subjects ANOVA is appropriate for use with a dependent variable that is quantitative or qualitative.

Assuming there are unequal numbers of subjects in each group,the main effect means can be calculated by taking the sum of the two cells in a given column.

An advantage of the two-way ANOVA is that we can study the joint effects of two variables.

Factorial designs can be used to study

As the number of groups in the factorial design increases,_____ becomes increasingly problematic.

As with the sums of squares,the mean squares are additive,such that: MSTOTAL = MSA + MSB + MSAxB + MSWITHIN

In two-way between-subjects analysis of variance,the relevant mean squares are obtained by dividing the sum of squares for each source of between-group variability by its degrees of freedom.

In the two-way ANOVA,which of the following sources of variability is NOT a component of the sum of squares between?

A statistically significant interaction effect in a two-way ANOVA means that the effect of one variable ____________________ the level of the second variable.

In two-way between-subjects analysis of variance,dfTOTAL = N - 1.

The strengths of the relationships for the three sources of between-group variability are assessed with:

In general,statisticians recommend the use of _____ over _____ in determining the nature of a statistically significant interaction effect.

The problem of an inflated Type I error rate can be controlled for interaction comparisons by using a:

In a 2 X 3 factorial design,there are ____________________ groups. or

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

Two-way factorial designs allow us to study:

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?

The total sum of squares in two-way between-subjects analysis of variance can be represented as SSTOTAL = SSWITHIN + SSERROR.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

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

As with the sums of squares,the mean squares are additive,such that: MS_TOTAL = MS_A + MS_B + MS_AxB + MS_WITHIN

In two-way between-subjects analysis of variance,df_TOTAL = N - 1.

In general,statisticians recommend the use of _ over _ in determining the nature of a statistically significant interaction effect.

The total sum of squares in two-way between-subjects analysis of variance can be represented as SS_TOTA_L = SS_WITHIN + SS_ERROR.