Cross-Level Inference - Couverture rigide

Achen, Christopher H.; Shively, W. Phillips

Couverture rigide

ISBN 10 : 0226002195 ISBN 13 : 9780226002194

Editeur : University of Chicago Press, 1995

Synopsis

In the last few years, new disputes have erupted over the use of group averages from census areas or voting districts to draw inferences about individual social behaviour. Social scientists, policy analysts and historians often have little choice about using this kind of data, but statistical analysis of them is fraught with pitfalls. The recent debates have led to a new menu of choices for the applied researcher. This volume explains why older methods like ecological regression so often fail, and it examines the promising new techniques for cross-level inference. Experts in statistical analysis of aggregate data, Christopher H. Achen and W. Philips Shively, contend that cross-level inference makes unusually strong demands on substantive knowledge, so that no one method, such as Goodman's ecological regression, will fit all situations. Criticizing Goodman's model and some recent attempts to replace it, the authors argue for a range of alternate techniques, including extensions of cross-tabular, regression analysis and unobservable variable estimators.

Détails de l'édition

• Éditeur: University of Chicago Press
• Date d'édition: 1995
• Langue: anglais
• ISBN 10: 0226002195
• ISBN 13: 9780226002194
• Reliure: Relié
• Nombre de pages: 258
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible