Profiling cable customers (generalized linear mixed models)

Executives at a cable provider of television, phone, and internet services want to know more about potential customers. They conduct a survey of 2000 people in their service regions and ask whether they (1) don't have the service; (2) subscribe to the service with other providers; or (3) have the service with the company, for each of the three services. The survey additionally collects some demographic information, such as gender, age category (4 levels), education category (3 levels), income category (3 levels), residence type category (4 levels), years at current address category (3 levels), number of people in the house, and so on.

This information is collected in cable_survey.sav. See the topic Sample Files for more information. Since possible answers have nominal measurement levels, the company analyst uses a generalized logit mixed model with a random intercept to capture correlation between answers to the service usage questions across service types (tv, phone, internet) within a given survey responder's answers.

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