Exam 21: Multidimensional Scaling and

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is a computer program developed for conducting conjoint analysis.

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Which statement is true about using discriminant analysis to create spatial maps?

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Correspondence analysis requires more effort on the part of the respondent than other MDS techniques.

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In order to perform internal analysis of preferences, both preference and perception data must be obtained.

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is a method of configuring a spatial map such that the spatial map represents both brands or stimuli and respondent points or vectors and is derived solely from the preference data.

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Which statement is true about the full- profile approach to constructing conjoint analysis stimuli?

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Results in correspondence analysis are interpreted in terms of proximities among rows and columns.

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External analysis of preferences is preferred in most situations.

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For interpreting conjoint analysis, it is helpful to plot the part- worth functions.

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The metric and non- metric MDS methods often produce vastly different results.

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Which is a disadvantage of the derived approach to collecting perception data?

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The derivation and use of lie at the heart of multidimensional scaling.

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An assumption of MDS is that the similarity of stimulus A to B is the same as the similarity of stimulus B to A.

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Conjoint analysis assumes that the important attributes of a product can be identified.

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Gaps in the spatial map may indicate potential opportunities for introducing new products.

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In conjoint analysis, the attribute's importance is normalized to ascertain its importance relative to other attributes, Wi.

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Preference data order the brands or stimuli in terms of respondents' preference for some property.

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In approaches to collecting perception data, the respondents are asked to use their own criteria to judge how similar or dissimilar the various brands or stimuli are.

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For Kruskal's stress formula 1, a stress value of zero would indicate a poor fit of the MDS model to the data.

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What are the advantages and disadvantages of the direct and derived approaches to obtaining perception data for multidimensional scaling?

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