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

A researcher observes the same participants across the levels of one factor and different participants across the levels of a second factor.What type of factorial design is most appropriate for this study?

(Multiple Choice)

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Question 21

If both main effects and the interaction are not significant using the two-way between-subjects ANOVA then post hoc tests and simple main effect tests are unnecessary.

(True/False)

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Question 22

There are ____ cells or groups in a 3 $\times$ 4 ANOVA design.

(Multiple Choice)

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Question 23

An estimate of effect size with the two-way ANOVA is typically reported for:

(Multiple Choice)

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Question 24

A complete factorial design is one in which each level of one factor is combined or crossed with each level of the other factor.

(True/False)

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Question 25

A two-way between-subjects ANOVA is appropriate for analyzing differences in the combination of levels for two or more factors.

(True/False)

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Question 26

Mean square error is the denominator for all tests using a two-way between-subjects ANOVA.

(True/False)

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Question 27

When the same participants are observed in each cell or group,we use the two-way between-subjects ANOVA to analyze the data.

(True/False)

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Question 28

A researcher computes the following 2 $\times$ 3 between-subjects ANOVA,in which 11 participants were observed in each group.Which effect was significant at a .05 level of significance using the two-way between-subjects ANOVA? $A researcher computes the following 2 \times 3 between-subjects ANOVA,in which 11 participants were observed in each group.Which effect was significant at a .05 level of significance using the two-way between-subjects ANOVA?$

(Multiple Choice)

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Question 29

A researcher computes a 3 $\times$ 4 between-subjects ANOVA and finds one significant main effect and a significant interaction.What is the next appropriate step?

(Multiple Choice)

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Question 30

It is inappropriate to compute effect size for interactions and main effects.

(True/False)

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Question 31

Simple main effect tests are necessary to analyze interactions,not main effects.

(True/False)

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Question 32

A ____ is the combination of one level from each factor.

(Multiple Choice)

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Question 33

Each of the following is a type of two-way ANOVA,except

(Multiple Choice)

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Question 34

A researcher conducts a 2 $\times$ 4 between-subjects ANOVA in which 12 participants were observed in each group.If $A researcher conducts a 2 \times 4 between-subjects ANOVA in which 12 participants were observed in each group.If = 18 and = 264 for this study,then what is the decision for Factor B at a .05 level of significance?$ = 18 and $A researcher conducts a 2 \times 4 between-subjects ANOVA in which 12 participants were observed in each group.If = 18 and = 264 for this study,then what is the decision for Factor B at a .05 level of significance?$ = 264 for this study,then what is the decision for Factor B at a .05 level of significance?

(Multiple Choice)

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Question 35

Using a two-way between-subjects ANOVA with Factor A (Gender: male,female)and Factor B (Type of employment: blue collar,white collar),a researcher found that scores for men and women significantly varied across the levels of the second factor (type of employment).In this study,the researcher found a significant

(Multiple Choice)

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Question 36

A researcher conducts a 2 $\times$ 3 between-subjects ANOVA.She finds a significant interaction,where $A researcher conducts a 2 \times 3 between-subjects ANOVA.She finds a significant interaction,where = 120 and = 518.What is the effect size for this test using eta-squared?$ = 120 and $A researcher conducts a 2 \times 3 between-subjects ANOVA.She finds a significant interaction,where = 120 and = 518.What is the effect size for this test using eta-squared?$ = 518.What is the effect size for this test using eta-squared?

(Multiple Choice)

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Question 37

Omega-squared corrects for the number of groups and the size of error in an analysis of variance test;eta-squared does not.

(True/False)

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Question 38

There are two factors and four cells in a 2 $\times$ 2 between-subjects ANOVA.

(True/False)

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Question 39

For a two-way ANOVA,the ________ should also be reported for each significant hypothesis test and for the simple main effect tests.

(Multiple Choice)

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Question 40

Showing 21 - 40 of 80

A researcher observes the same participants across the levels of one factor and different participants across the levels of a second factor.What type of factorial design is most appropriate for this study?

If both main effects and the interaction are not significant using the two-way between-subjects ANOVA then post hoc tests and simple main effect tests are unnecessary.

There are ____ cells or groups in a 3 $\times$ 4 ANOVA design.

An estimate of effect size with the two-way ANOVA is typically reported for:

A complete factorial design is one in which each level of one factor is combined or crossed with each level of the other factor.

A two-way between-subjects ANOVA is appropriate for analyzing differences in the combination of levels for two or more factors.

Mean square error is the denominator for all tests using a two-way between-subjects ANOVA.

When the same participants are observed in each cell or group,we use the two-way between-subjects ANOVA to analyze the data.

A researcher computes a 3 $\times$ 4 between-subjects ANOVA and finds one significant main effect and a significant interaction.What is the next appropriate step?

It is inappropriate to compute effect size for interactions and main effects.

Simple main effect tests are necessary to analyze interactions,not main effects.

A ____ is the combination of one level from each factor.

Each of the following is a type of two-way ANOVA,except

Omega-squared corrects for the number of groups and the size of error in an analysis of variance test;eta-squared does not.

There are two factors and four cells in a 2 $\times$ 2 between-subjects ANOVA.

For a two-way ANOVA,the ________ should also be reported for each significant hypothesis test and for the simple main effect tests.

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

A researcher observes the same participants across the levels of one factor and different participants across the levels of a second factor.What type of factorial design is most appropriate for this study?

If both main effects and the interaction are not significant using the two-way between-subjects ANOVA then post hoc tests and simple main effect tests are unnecessary.

There are ____ cells or groups in a 3 ×\times× 4 ANOVA design.

An estimate of effect size with the two-way ANOVA is typically reported for:

A complete factorial design is one in which each level of one factor is combined or crossed with each level of the other factor.

A two-way between-subjects ANOVA is appropriate for analyzing differences in the combination of levels for two or more factors.

Mean square error is the denominator for all tests using a two-way between-subjects ANOVA.

When the same participants are observed in each cell or group,we use the two-way between-subjects ANOVA to analyze the data.

A researcher computes the following 2 ×\times× 3 between-subjects ANOVA,in which 11 participants were observed in each group.Which effect was significant at a .05 level of significance using the two-way between-subjects ANOVA?

A researcher computes a 3 ×\times× 4 between-subjects ANOVA and finds one significant main effect and a significant interaction.What is the next appropriate step?

It is inappropriate to compute effect size for interactions and main effects.

Simple main effect tests are necessary to analyze interactions,not main effects.

A ____ is the combination of one level from each factor.

Each of the following is a type of two-way ANOVA,except

A researcher conducts a 2 ×\times× 4 between-subjects ANOVA in which 12 participants were observed in each group.If = 18 and = 264 for this study,then what is the decision for Factor B at a .05 level of significance?

A researcher conducts a 2 ×\times× 3 between-subjects ANOVA.She finds a significant interaction,where = 120 and = 518.What is the effect size for this test using eta-squared?

Omega-squared corrects for the number of groups and the size of error in an analysis of variance test;eta-squared does not.

There are two factors and four cells in a 2 ×\times× 2 between-subjects ANOVA.

For a two-way ANOVA,the ________ should also be reported for each significant hypothesis test and for the simple main effect tests.

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

There are ____ cells or groups in a 3 $\times$ 4 ANOVA design.

A researcher computes a 3 $\times$ 4 between-subjects ANOVA and finds one significant main effect and a significant interaction.What is the next appropriate step?

There are two factors and four cells in a 2 $\times$ 2 between-subjects ANOVA.