Cluster Analysis In Spss

    cluster analysis

  • a multivariate statistical technique which assesses the similarities between units or assemblages, based on the occurrence or non-occurrence of specific artifact types or other components within them.
  • Cluster analysis or clustering is the assignment of a set of observations into subsets (called clusters) so that observations in the same cluster are similar in some sense.
  • ‘Cluster analysis is a class of statistical techniques that can be applied to data that exhibit “natural” groupings. Cluster analysis sorts through the raw data and groups them into clusters. A cluster’ is a group of relatively homogeneous cases or observations.

    spss

  • Supplementary Pertussis Surveillance System
  • SPSS is a computer program used for statistical analysis. Between 2009 and 2010 the premier software for SPSS was called PASW (Predictive Analytics SoftWare) Statistics. The company announced July 28, 2009 that it was being acquired by IBM for US$1.2 billion.
  • A software program that facilitates quantitative analysis.

cluster analysis in spss

cluster analysis in spss – A Handbook

A Handbook of Statistical Analyses Using SPSS
A Handbook of Statistical Analyses Using SPSS
A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors.

Californian Fortune 500 Companies – Cluster Analysis

Californian Fortune 500 Companies - Cluster Analysis
Project Description:
In 2006, FAS analyzed the director interlock relationships between Fortune 500 companies in California. We looked at how companies are connected through their board of directors, i.e. Apple and Disney are connected through Steve Jobs since he serves on both boards. Companies that share a lot of directors create denser zones in the network and form clusters. We measured which companies exert the largest influence overall and within each cluster. This reveals compelling new insights into key account management.

Legend:
The triangles represent Fortune 500 companies in CA. The larger the triangle, the more influential the company is. Companies of the same color belong to the same network cluster. If company A and company B share a director, they are linked by a line. The more directors shared, the thicker the line.

Profiles of child internet users by gender

Profiles of child internet users by gender
Author: Ana Nunes de Almeida, Nuno de Almeida Alves, Ana Delicado
Date: 2009
Description: Profiles of child internet users by gender, created through cluster analysis on data from a survey of Portuguese children in elementary education. The cluster analysis allowed the identification of four profiles of child internet users: the all-round cybernaut, the committed gamer, the diligent student and the incipient user. The distribution of these profiles by gender shows statistically relevant differences.
Technique: Cluster analysis, using SPSS and Excel software
Source: Project “Children and the Internet”, funded by the Gulbenkian Foudation

Image and caption provided by: Ana Nunes de Almeida, Nuno de Almeida Alves, Ana Delicado; Instituto de Ciências Sociais da Universidade de Lisboa

cluster analysis in spss

Data Analysis in Management with SPSS Software
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

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