Exam 21: Multidimensional Scaling and Conjoint Analysis
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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When constructing conjoint analysis stimuli,it is necessary to evaluate all possible combinations of levels of the attributes.
(True/False)
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Preference data order the brands or stimuli in terms of respondents' preference for some property.
(True/False)
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Gaps in the spatial map may indicate potential opportunities for introducing new products.
(True/False)
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In conjoint analysis,________ are the values assumed by the attributes.
(Multiple Choice)
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The metric and non-metric MDS methods often produce vastly different results.
(True/False)
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In conjoint analysis,________ are utility functions that describe the utility consumers attach to the levels of each attribute.
(Multiple Choice)
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The number of brands or stimuli selected for use in MDS analysis and the specific brands included determines the nature of the resulting dimensions and configurations.
(True/False)
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Conjoint analysis assumes that consumers evaluate the choice alternatives in terms of the important attributes and make trade-offs.
(True/False)
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The derivation and use of ________ lie at the heart of multidimensional scaling.
(Multiple Choice)
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In (the)________ for constructing conjoint analysis stimuli,respondents evaluate two attributes at a time until all the possible pairs of attributes have been evaluated.
(Multiple Choice)
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The pair-wise approach to conducting conjoint analysis stimuli is more commonly used than the full-profile approach.
(True/False)
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The fit of an MDS solution is commonly assessed by the stress measure.Stress is a goodness-of-fit measure;higher values of stress indicate better fits.
(True/False)
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The conjoint analysis procedure is based on trade-offs respondents make when evaluating alternatives.
(True/False)
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________ is a computer program developed for conducting MDS.
(Multiple Choice)
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Correspondence analysis requires more effort on the part of the respondent than other MDS techniques.
(True/False)
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In conjoint analysis,the importance of an attribute,Ii,is defined in terms of the range of the part-worths,αij,across the levels of that attribute Ii = {max(αij)- min(αij)},for each i.
(True/False)
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Which statement is true about using discriminant analysis to create spatial maps?
(Multiple Choice)
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In order to perform internal analysis of preferences,both preference and perception data must be obtained.
(True/False)
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With the full-profile approach to constructing conjoint analysis stimuli,respondents rank all the stimulus profiles.
(True/False)
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To develop spatial maps by means of discriminant analysis,the independent variable is the brand rated and the dependent variables are the attribute ratings.
(True/False)
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