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The Analysis and Interpretation of Multivariate Data for Social Scientists
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The Analysis and Interpretation of Multivariate Data for Social Scientists

The Analysis and Interpretation of Multivariate Data for Social Scientists

David J. Bartholomew, Fiona Steele, Irini Moustaki, Jane I. Galbraith

264 pages, parution le 21/03/2002

Résumé

Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples.Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them.

Contents

  1. Setting The Scene
  2. Cluster Analysis
  3. Multidimensional Scaling
  4. Correspondence Analysis
  5. Principal Components Analysis
  6. Factor Analysis
  7. Factor Analysis for Binary Data
  8. Factor Analysis For Ordered Categorical Variables
  9. Latent Class Analysis For Binary Data
References
Index

Caractéristiques techniques

  PAPIER
Éditeur(s) Chapman and Hall / CRC
Auteur(s) David J. Bartholomew, Fiona Steele, Irini Moustaki, Jane I. Galbraith
Parution 21/03/2002
Nb. de pages 264
Format 16 x 23
Couverture Relié
Poids 527g
Intérieur Noir et Blanc
EAN13 9781584882954
ISBN13 978-1-58488-295-4

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