Causal Modeling

A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on to recursive and non-recursive path estimation. Special attention is given to a number of problems in the causal analysis of data, with illustrations from studies in political socialization and voting behaviour.

A propos de l'auteur

Dr. Herb Asher is professor emeritus of political science at The Ohio State University and counselor to the university president.  He previously served as special assistant to the university president for government relations and founding director of the John Glenn Institute for Public Service and Public Policy.  He is frequently called upon as an expert political analyst by local and national media.
Dr. Asher earned his degrees at Bucknell University (B.S. Mathematics) and the University of Michigan (M.A. & PH.D. in political science).

Dr. Asher serves as faculty adviser to several student organizations, including the Undergraduate Student Government, the College Democrats, and two fraternities.  He also serves on the Executive Committee and Board of Trustees of Hillel and formerly served as faculty adviser to the College Republicans.

Dr. Asher is a former member and chair of the Ohio Ethics Commission and a member of the Mid-Ohio Regional Planning Commission.  He is a member of the Board of Trustees of Community Research Partners, a former member of the Board of Trustees of the Columbus Metropolitan Club, and former president of the Ohio State University Faculty Club.

Détails du produit

• Auteurs: Herbert Asher, Herbert B. Asher
• Collaboration: Herbert B. Asher (Editeur)
• Edition: O'Reilly
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 30.06.1977
• EAN: 9780803906549
• ISBN: 978-0-8039-0654-9
• Pages: 96
• Poids: 140 g
• Thèmes: Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Théorie des probabilités, stochastique, statistiques; SOCIAL SCIENCE / General, Society & social sciences, Society and Social Sciences