Exam 16: Analysis of Variance and Covariance
Exam 1: Introduction to Marketing Research75 Questions
Exam 2: Defining the Marketing Research Problem and Developing an Approach74 Questions
Exam 3: Research Design91 Questions
Exam 4: Exploratory Research Design: Secondary Data86 Questions
Exam 5: Exploratory Research Design: Qualitative Research103 Questions
Exam 6: Descriptive Research Design: Survey and Observation82 Questions
Exam 7: Causal Research Design: Experimentation114 Questions
Exam 8: Measurement and Scaling: Fundamentals and Comparative Scaling84 Questions
Exam 9: Measurement and Scaling: Noncomparative Scaling Techniques115 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 Preparation126 Questions
Exam 15: Frequency Distribution, Cross-Tabulation, and Hypothesis Testing154 Questions
Exam 16: Analysis of Variance and Covariance83 Questions
Exam 17: Correlation and Regression92 Questions
Exam 18: Discriminant and Logit Analysis59 Questions
Exam 19: Factor Analysis70 Questions
Exam 20: Cluster Analysis73 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis111 Questions
Exam 22: Structural Equation Modeling and Path Analysis92 Questions
Exam 23: Report Preparation and Presentation75 Questions
Exam 24: International Marketing Research80 Questions
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In the ________, the categories or treatments are considered to be random samples from a universe of treatments. Inferences are made to other categories not examined in the analysis.
(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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The strength of the effects of X (independent variable or factor)on Y (dependent variable)is measured by ________.
(Multiple Choice)
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In ANOVA the relative contribution of a factor X is calculated as ________.
(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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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 particular combination of factor levels, or categories, is called a treatment.
(True/False)
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A major advantage of ________ is that it enables the researcher to examine interactions between the factors.
(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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Categorical independent variables are ________. The independent variables must all be categorical (nonmetric)to use ________.
(Multiple Choice)
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The n-way ANOVA assumes that the design was orthogonal, or balanced (the number of cases in each cell was the same).
(True/False)
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Analysis of covariance includes at least one ________ independent variable and at least one ________ independent variable.
(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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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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In analysis of variance, it is assumed that all the groups have the same variation in the population.
(True/False)
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