fibtelereg: Fibtelereg

Description

Fibtelereg dataset

Usage

fibtelereg

Arguments

format

A data frame with 147 observations on the following 18 variables. The first ten variables are segmentation variables. The rest of the variables refer to five variables 1) Image = Image, 2) Exp.spec = Specific Expectation, 3) Exp.gen = Generic Expectation, 4)Qual.spec = Specific Quality, 5) Qual.gen = Generic Quality, 6) Value = Value, 7) Satis = Satisfaction. Variables description

Image

: Generic students perception of ICT schools: (internationally recognized, ranges of courses, leader in research). Exp.spec: Specific Expectation on specific skills (technic or applied skills). Exp.gen: Generic Expectation on generic skills (abilities in problem solving, communication skills). Qual.spec: Perception about the achieved quality on the specific skills in the school. Qual.gen: Perception about achieved quality on the generic skills in the school (abilities in solving problem, communication skills). Value: The advantage or profit that the alumni may draw from the school degree (well paid job, motivated job, prospectives in improvement and promotion). Satis: Degree of alumni satisfaction about the formation in school respect to their actual work conditions.

itemize

Career

code

befor.grad

item

Gender
Age
Studying
Contract
Salary
Firmtype
Accgrade
Grade
Startwork

source

Laboratory of Information Analysis and Modeling (LIAM). Facultat de Informatica de Barcelona, Universitat Politecnica de Catalunya.

References

Lamberti, G. (2014) Modeling with Heterogeneity. PhD Dissertation.