9. Which of the following technique is used when researcher wants to predict group membership on the basis of two independent variables? (1 Point) Conjoint Analysis Cluster Analysis Discriminant Analysis D. Factor Analysis
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Cluster analysis technique is used when researcher wants to predict group membership on the basis of two independent variables.
Option B is the correct answer.
- Cluster analysis (CA) is a multivariate method for ranking entities; whether individuals or variables in a small number of groups so that the observations within a group are very similar and very different from the rest.
- Conjoint analysis is a form of statistical analysis that firms use in market research to know customers' value, and different features of their products or services.
- The discriminant analysis builds a model for group membership. The model contains a discriminant function based on linear combinations of the predictor variables that provide the best discrimination between the groups.
- Factor analysis is a data reduction technique by which researchers investigate concepts that are difficult to be measured directly. factor analysis boils down a large number of variables into a handful of easy-to-understand underlying factors, it results in easy-to-understand and actionable data.
Hence, Option B is the correct answer.
Cluster analysis technique is used when researcher wants to predict group membership on the basis of two independent variables.
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