Exam 16: Analysis of Variance and Covariance
Exam 1: Introduction to Marketing Research78 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach77 Questions
Exam 3: Research Design95 Questions
Exam 4: Exploratory Research Design: Secondary Data86 Questions
Exam 5: Exploratory Research Design: Qualitative Research111 Questions
Exam 6: Descriptive Research Design: Survey and Observation88 Questions
Exam 7: Causal Research Design: Experimentation116 Questions
Exam 8: Measurement and Scaling: Fundamentals and Comparative Scaling89 Questions
Exam 9: Measurement and Scaling: Noncomparative Scaling Techniques121 Questions
Exam 10: Questionnaire and Form Design121 Questions
Exam 11: Sampling: Design and Procedures99 Questions
Exam 12: Sampling: Final and Initial Sample Size Determination75 Questions
Exam 13: Fieldwork61 Questions
Exam 14: Data Preparation129 Questions
Exam 15: Frequency Distribution,cross-Tabulation,and Hypothesis Testing154 Questions
Exam 16: Analysis of Variance and Covariance84 Questions
Exam 17: Correlation and Regression92 Questions
Exam 18: Discriminant and Logit Analysis60 Questions
Exam 19: Factor Analysis70 Questions
Exam 20: Cluster Analysis73 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis107 Questions
Exam 22: Structural Equation Modeling and Path Analysis92 Questions
Exam 23: Report Preparation and Presentation81 Questions
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The most commonly used measure in ANOVA indicating the relative importance of factors is omega squared, (ω2).
(True/False)
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________ is an ANOVA technique for examining the difference in the central tendencies of more than two groups when the dependent variable is measured on an ordinal scale.
(Multiple Choice)
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________ are used to examine differences among two or more means of the treatment groups.
(Multiple Choice)
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________ is an ANOVA technique used when respondents are exposed to more than one treatment condition and repeated measurements are obtained.
(Multiple Choice)
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The last step in the procedure for conducting one-way analysis of variance is to test the significance.
(True/False)
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Repeated measures analysis of variance may be thought of as an extension of the ________ to the case of more than two related samples.
(Multiple Choice)
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ANOVA and ANCOVA include one independent variable and t tests include more than one independent variable.
(True/False)
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Which statement is correct if the null hypothesis for a one-way ANOVA is rejected?
(Multiple Choice)
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Which of the statistical techniques below does not involve a metric independent variable (Figure 16.1 in the text)?
(Multiple Choice)
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Categorical independent variables are ________.The independent variables must all be categorical (nonmetric)to use ________.
(Multiple Choice)
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In ANOVA the relative contribution of a factor X is calculated as ________.
(Multiple Choice)
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Analysis of variance is so named because it examines the variability or variation in the sample (dependent variable)and,based on the variability,determines whether there is reason to believe that the population means differ.
(True/False)
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Contrasts are used in ANOVA to determine which of the means are statistically different.
(True/False)
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Interactions occur when the effects of one factor on the dependent variable depend on the level (category)of the other factors.
(True/False)
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Important issues involved in the interpretation of ANOVA results include all of the following except ________.
(Multiple Choice)
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The strength of the effects of X (independent variable or factor)on Y (dependent variable)is measured by ________.
(Multiple Choice)
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How consumers' intentions to buy a brand vary with different levels of price and different levels of distribution is best analyzed via ________.
(Multiple Choice)
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________ are contrasts that enable the researcher to construct generalized confidence intervals that can be used to make pairwise comparisons of all treatment means.
(Multiple Choice)
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The strength of the joint effect of two (or more)factors or the overall effect is known as ________.
(Multiple Choice)
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Modest departures from the assumptions in analysis of variance do not seriously affect the validity of the analysis.
(True/False)
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