Exam 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design

If an interaction and a main effect are significant for a two-way between-subjects ANOVA,then the main effect must be analyzed first.

(True/False)

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Question 61

A researcher computes a 2 $\times$ 3 factorial ANOVA.In this example,how many interactions can be observed?

(Multiple Choice)

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Question 62

A researcher computes a two-way between-subjects ANOVA and finds a significant main effect of Factor A and an A $\times$ B interaction.Which significant effect should be analyzed first?

(Multiple Choice)

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Question 63

If each main effect is significant,then the interaction must also be significant for a two-way between-subjects ANOVA.

(True/False)

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Question 64

Not including the total variation,how many sources of variation are measured in a two-way between-subjects ANOVA?

(Multiple Choice)

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Question 65

Which source of variation,if significant,is typically analyzed first?

(Multiple Choice)

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Question 66

The denominator of the test statistic for the main effects and interaction in a two-way between-subjects ANOVA

(Multiple Choice)

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Question 67

A researcher computes two 2 $\times$ 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 $\times$ B interaction?

(Multiple Choice)

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Question 68

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 (R²= .18).

(True/False)

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Question 69

A researcher computes a two-way between-subjects ANOVA and finds a significant A $\times$ B interaction and two main effects.Which significant effect should be analyzed first?

(Multiple Choice)

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Question 70

Simple main effect tests are necessary to analyze a significant interaction or a significant main effect.

(True/False)

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Question 71

A researcher randomly assigns different participants to each combination of levels for two factors.In this example,a two-way between-subjects ANOVA is appropriate to analyze the data.

(True/False)

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Question 72

A two-way ANOVA is a statistical procedure used to test hypotheses concerning the variance of two group means for the levels of one factor.

(True/False)

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Question 73

A researcher computes a 3 $\times$ 5 between-subjects ANOVA.What are the degrees of freedom for the A $\times$ B interaction for this study?

(Multiple Choice)

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Question 74

Which of the following is NOT an assumption for computing a two-way between-subjects ANOVA?

(Multiple Choice)

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Question 75

A researcher conducts two studies using the two-way between-subjects ANOVA.The sum of squares total is smaller in Study 1 than in Study 2;the sum of squares for Factor A is the same in both studies.In which study will the effect size be larger for Factor A using omega-squared?

(Multiple Choice)

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Question 76

An A $\times$ B interaction is associated with 8 degrees of freedom in a 2 $\times$ 4 between-subjects ANOVA.

(True/False)

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Question 77

A researcher computes a 2 $\times$ 3 between-subjects ANOVA test in which 11 participants were observed in each condition.If F = 5.17 for both main effect tests and the A $\times$ B interaction test,then the decision for each test

(Multiple Choice)

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Question 78

Simple main effect tests are used to analyze a significant interaction by comparing the mean differences of one factor at each level of a second factor.

(True/False)

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Question 79

An A $\times$ B interaction is associated with 2 degrees of freedom in a 2 $\times$ 3 between-subjects ANOVA design.

(True/False)

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Question 80

Showing 61 - 80 of 80

If an interaction and a main effect are significant for a two-way between-subjects ANOVA,then the main effect must be analyzed first.

A researcher computes a 2 $\times$ 3 factorial ANOVA.In this example,how many interactions can be observed?

A researcher computes a two-way between-subjects ANOVA and finds a significant main effect of Factor A and an A $\times$ B interaction.Which significant effect should be analyzed first?

If each main effect is significant,then the interaction must also be significant for a two-way between-subjects ANOVA.

Not including the total variation,how many sources of variation are measured in a two-way between-subjects ANOVA?

Which source of variation,if significant,is typically analyzed first?

The denominator of the test statistic for the main effects and interaction in a two-way between-subjects ANOVA

A researcher computes two 2 $\times$ 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 $\times$ B interaction?

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 (R²= .18).

A researcher computes a two-way between-subjects ANOVA and finds a significant A $\times$ B interaction and two main effects.Which significant effect should be analyzed first?

Simple main effect tests are necessary to analyze a significant interaction or a significant main effect.

A researcher randomly assigns different participants to each combination of levels for two factors.In this example,a two-way between-subjects ANOVA is appropriate to analyze the data.

A two-way ANOVA is a statistical procedure used to test hypotheses concerning the variance of two group means for the levels of one factor.

A researcher computes a 3 $\times$ 5 between-subjects ANOVA.What are the degrees of freedom for the A $\times$ B interaction for this study?

Which of the following is NOT an assumption for computing a two-way between-subjects ANOVA?

A researcher conducts two studies using the two-way between-subjects ANOVA.The sum of squares total is smaller in Study 1 than in Study 2;the sum of squares for Factor A is the same in both studies.In which study will the effect size be larger for Factor A using omega-squared?

An A $\times$ B interaction is associated with 8 degrees of freedom in a 2 $\times$ 4 between-subjects ANOVA.

A researcher computes a 2 $\times$ 3 between-subjects ANOVA test in which 11 participants were observed in each condition.If F = 5.17 for both main effect tests and the A $\times$ B interaction test,then the decision for each test

Simple main effect tests are used to analyze a significant interaction by comparing the mean differences of one factor at each level of a second factor.

An A $\times$ B interaction is associated with 2 degrees of freedom in a 2 $\times$ 3 between-subjects ANOVA design.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 14: Analysis of Variance: Two-Way Between-Subjects Factorial Design

If an interaction and a main effect are significant for a two-way between-subjects ANOVA,then the main effect must be analyzed first.

A researcher computes a 2 ×\times× 3 factorial ANOVA.In this example,how many interactions can be observed?

A researcher computes a two-way between-subjects ANOVA and finds a significant main effect of Factor A and an A ×\times× B interaction.Which significant effect should be analyzed first?

If each main effect is significant,then the interaction must also be significant for a two-way between-subjects ANOVA.

Not including the total variation,how many sources of variation are measured in a two-way between-subjects ANOVA?

Which source of variation,if significant,is typically analyzed first?

The denominator of the test statistic for the main effects and interaction in a two-way between-subjects ANOVA

A researcher computes two 2 ×\times× 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 ×\times× B interaction?

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 (R2 = .18).

A researcher computes a two-way between-subjects ANOVA and finds a significant A ×\times× B interaction and two main effects.Which significant effect should be analyzed first?

Simple main effect tests are necessary to analyze a significant interaction or a significant main effect.

A researcher randomly assigns different participants to each combination of levels for two factors.In this example,a two-way between-subjects ANOVA is appropriate to analyze the data.

A two-way ANOVA is a statistical procedure used to test hypotheses concerning the variance of two group means for the levels of one factor.

A researcher computes a 3 ×\times× 5 between-subjects ANOVA.What are the degrees of freedom for the A ×\times× B interaction for this study?

Which of the following is NOT an assumption for computing a two-way between-subjects ANOVA?

A researcher conducts two studies using the two-way between-subjects ANOVA.The sum of squares total is smaller in Study 1 than in Study 2;the sum of squares for Factor A is the same in both studies.In which study will the effect size be larger for Factor A using omega-squared?

An A ×\times× B interaction is associated with 8 degrees of freedom in a 2 ×\times× 4 between-subjects ANOVA.

A researcher computes a 2 ×\times× 3 between-subjects ANOVA test in which 11 participants were observed in each condition.If F = 5.17 for both main effect tests and the A ×\times× B interaction test,then the decision for each test

Simple main effect tests are used to analyze a significant interaction by comparing the mean differences of one factor at each level of a second factor.

An A ×\times× B interaction is associated with 2 degrees of freedom in a 2 ×\times× 3 between-subjects ANOVA design.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

A researcher computes a 2 $\times$ 3 factorial ANOVA.In this example,how many interactions can be observed?

A researcher computes a two-way between-subjects ANOVA and finds a significant main effect of Factor A and an A $\times$ B interaction.Which significant effect should be analyzed first?

A researcher computes two 2 $\times$ 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 $\times$ B interaction?

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 (R²= .18).

A researcher computes a two-way between-subjects ANOVA and finds a significant A $\times$ B interaction and two main effects.Which significant effect should be analyzed first?

A researcher computes a 3 $\times$ 5 between-subjects ANOVA.What are the degrees of freedom for the A $\times$ B interaction for this study?

An A $\times$ B interaction is associated with 8 degrees of freedom in a 2 $\times$ 4 between-subjects ANOVA.

A researcher computes a 2 $\times$ 3 between-subjects ANOVA test in which 11 participants were observed in each condition.If F = 5.17 for both main effect tests and the A $\times$ B interaction test,then the decision for each test

An A $\times$ B interaction is associated with 2 degrees of freedom in a 2 $\times$ 3 between-subjects ANOVA design.