Exam 16: Analysis of Variance and Covariance
Exam 1: Introduction to Marketing Research57 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach71 Questions
Exam 3: Research Design91 Questions
Exam 4: Exploratory Research Design: Secondary Data86 Questions
Exam 5: Exploratory Research Design: Qualitative Research101 Questions
Exam 6: Descriptive Research Design: Survey and Observation82 Questions
Exam 7: Casual Research Design: Experimentation114 Questions
Exam 8: Measurement and Scaling: Fundamentals and Comparative Scaling84 Questions
Exam 9: Measurement and Scaling: Non Comparative Scaling Techniques112 Questions
Exam 10: Questionnaire and Form Design117 Questions
Exam 11: Sampling: Design and Procedures96 Questions
Exam 12: Sampling: Final and Initial Sample Size Determination71 Questions
Exam 13: Fieldwork55 Questions
Exam 14: Data Preparation124 Questions
Exam 15: Frequency Distribution, cross-Tabulation, and Hypothesis Testing154 Questions
Exam 16: Analysis of Variance and Covariance82 Questions
Exam 17: Correlation and Regression89 Questions
Exam 18: Discriminant and Logit Analysis59 Questions
Exam 19: Factor Analysis69 Questions
Exam 20: Cluster Analysis73 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis110 Questions
Exam 22: Structural Equation Modeling and Path Analysis90 Questions
Exam 23: Report Preparation and Presentation73 Questions
Exam 24: International Marketing Research80 Questions
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A test of the significance of the main effect for each individual factor is a test of the ________.
(Multiple Choice)
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The ________ refers to the fact that ordinarily the assumption in analysis of variance that the categories of the independent variable are fixed.
(Multiple Choice)
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An interaction effect occurs when the effect of an independent variable on a dependent variable is different for different categories or levels of another independent variable.
(True/False)
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A test finding that some differences exist between some of the treatment groups is a test of the ________.
(Multiple Choice)
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A test of the significance of the interaction between two or more independent variables is a test of the ________.
(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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η2 assumes a value of 0 when all the category means are equal,indicating that X has no effect of X on Y.
(True/False)
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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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Which statement is correct if the null hypothesis for a one-way ANOVA is rejected?
(Multiple Choice)
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In ANOVA the relative contribution of a factor X is calculated as ________.
(Multiple Choice)
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Contrasts are used in ANOVA to determine which of the means are statistically different.
(True/False)
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The most common use of the covariate is to remove extraneous variation from the dependent variable.
(True/False)
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Also referred to as SSerror,________ is the variation in Y due to the variation within each of the categories of X.This variation is not accounted for by X.
(Multiple Choice)
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If you are estimating η2,you are at which step in the procedure for conducting one-way analysis of variance?
(Multiple Choice)
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Nonmetric analysis of variance examines the difference in the central tendencies of more than two groups when the dependent variable is measured on a nominal scale.
(True/False)
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Categorical independent variables are ________.The independent variables must all be categorical (nonmetric)to use ________.
(Multiple Choice)
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A marketing survey conducted by EgeBank in Istanbul,Turkey used analysis of variance techniques to help identify affective and perceptual factors that differentiate alternative tourist destinations.
(True/False)
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