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

A researcher assigns participants to one of three groups (Group A,B,or C)and then observes each group for two days (Days 1 and 2).What type of factorial design is most appropriate for this study?

(Multiple Choice)

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Question 21

Using the two-way mixed ANOVA,different participants are observed at each level of the between-subjects factor,and the same participants are observed across the levels of the within-subjects factor.

(True/False)

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Question 22

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

(Multiple Choice)

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Question 23

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

(Multiple Choice)

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Question 24

A researcher computes a 3 * 4 between-subjects ANOVA.What are the degrees of freedom for Factor A for this study?

(Multiple Choice)

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Question 25

A researcher conducts a 2 * 4 between-subjects ANOVA in which 12 participants were observed in each group.If SS_B = 18 and SS_E = 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 26

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

(True/False)

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Question 27

Homogeneity of variance is one assumption for the two-way between-subjects ANOVA.

(True/False)

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Question 28

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

(Multiple Choice)

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Question 29

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 30

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

(Multiple Choice)

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Question 31

Homogeneity of co-occurrence is one assumption for computing a two-way between-subjects ANOVA.

(True/False)

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Question 32

Which of the following describes a research design in which one factor could be a between-subjects factor,and the second factor could be a within-subjects factor?

(Multiple Choice)

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Question 33

A researcher groups college students in a study based on their year in college (freshman,sophomore,junior,senior)and the type of college they attend (junior,technical,university).He concludes that perceptions of academic cheating are more positive among freshman attending junior college.To reach this conclusion,which statistical test would need to be computed?

(Multiple Choice)

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Question 34

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 35

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 36

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

(True/False)

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Question 37

A researcher computes the following 2 * 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 38

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

(Multiple Choice)

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Question 39

A researcher computes a 4 * 4 between-subjects ANOVA and finds two significant main effects and a significant interaction.What is typically the next appropriate step?

(Multiple Choice)

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Question 40

Showing 21 - 40 of 80

A researcher assigns participants to one of three groups (Group A,B,or C)and then observes each group for two days (Days 1 and 2).What type of factorial design is most appropriate for this study?

Using the two-way mixed ANOVA,different participants are observed at each level of the between-subjects factor,and the same participants are observed across the levels of the within-subjects factor.

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

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

A researcher computes a 3 * 4 between-subjects ANOVA.What are the degrees of freedom for Factor A for this study?

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

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

Homogeneity of variance is one assumption for the two-way between-subjects ANOVA.

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

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.

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

Homogeneity of co-occurrence is one assumption for computing a two-way between-subjects ANOVA.

Which of the following describes a research design in which one factor could be a between-subjects factor,and the second factor could be a within-subjects factor?

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

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

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

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

A researcher computes a 4 * 4 between-subjects ANOVA and finds two significant main effects and a significant interaction.What is typically the next appropriate step?

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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 assigns participants to one of three groups (Group A,B,or C)and then observes each group for two days (Days 1 and 2).What type of factorial design is most appropriate for this study?

Using the two-way mixed ANOVA,different participants are observed at each level of the between-subjects factor,and the same participants are observed across the levels of the within-subjects factor.

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

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

A researcher computes a 3 * 4 between-subjects ANOVA.What are the degrees of freedom for Factor A for this study?

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

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

Homogeneity of variance is one assumption for the two-way between-subjects ANOVA.

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

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.

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

Homogeneity of co-occurrence is one assumption for computing a two-way between-subjects ANOVA.

Which of the following describes a research design in which one factor could be a between-subjects factor,and the second factor could be a within-subjects factor?

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

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

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

A researcher computes the following 2 * 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 conducts a 2 * 3 between-subjects ANOVA.She finds a significant interaction,where SSAXB = 120 and SST = 518.What is the effect size for this test using η\etaη 2?

A researcher computes a 4 * 4 between-subjects ANOVA and finds two significant main effects and a significant interaction.What is typically the next appropriate step?

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

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

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