Conoce todo sobre Técnicas multivariantes de Interdependencia

Este texto se centra en problemas concretos de investigaci n, y c mo la utilizaci n de un programa permite resolver adecuadamente el objeto central de la investigaci n (Description in English below). Esta obra desarrolla cuatro t cnicas basadas en otros tantos ejemplos: An lisis Exploratorio, Factorial de Componentes, Factorial de Correspondencias y Conglomerados; precedidas de un cap tulo sobre An lisis Exploratorio. Cada t cnica se explica utilizando un caso real de investigaci n, se proporcionan otros dos casos pr cticos, procedentes de investigaciones reales para que los lectores practiquen y lleguen a dominar cada una de las t cnicas. Description in English: Three aspects differentiate this work from the large number of books currently published on data analysis programs: - The fundamental objective is not to explain a statistical application, but to use it as a "tool" to solve problems on research.

- The minimum mathematical apparatus has been used, focusing the exposition on the criteria for using data analysis techniques, and on the interpretation of the results provided.

- This text focuses on specific research problems, and how the use of a program allows to adequately solve the central objective of the investigation. In this work, four techniques are developed based on many other examples: - Exploratory Analysis, Factorial of Components, Factorial of Correspondences and Clusters; preceded by a chapter on Exploratory Analysis.

- Each technique is explained using a real research case, and each chapter provides two other case studies, drawn from real research, for readers to practice and master each of the techniques.