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| Topic: |
Business
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| Number of pages / Number of words: |
3 / 643 |
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Latent class cluster analysis produces an objective segmentation solution that optimizes the number of clusters and the fit of the segmentation model to the data. This model can predict patterns in multiple dependent variables (such as attitudes, needs, and behaviors) as a function of segment membership...
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It easily incorporates data from different types of questions and different types of scales (e.g., yes/no answers, multiple choice questions, various rating scales, and even volumetric data) without the need for rescaling or normalizing the data. Latent class cluster analysis can introduce secondary variables (brand usage, demographics, etc...
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