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Interpreting and Using Regression de Christopher H. Achen

Interpreting and Using Regression: Quantitative Applications in the Social Sciences, cartea 29

Autor Christopher H. Achen
en Limba Engleză Paperback – 23 noi 1982
Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.
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Specificații

ISBN-13: 9780803919150
ISBN-10: 0803919158
Pagini: 88
Ilustrații: illustrations
Dimensiuni: 140 x 216 x 6 mm
Greutate: 0.11 kg
Ediția:Expanded.
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Notă biografică

Chris Achen¿s research interest is political methodology, particularly in its application to empirical democratic theory, American politics, and international relations. He is the author of two books, Interpreting and Using Regression and The Statistical Analysis of Quasi-Experiments, and co-author of a third, Cross-Level Inference. His next two books, for which he is a co-editor and contributor, will be The European Union Decides, and Voter Turnout in Multi-Level Systems. He was the first president of the Political Methodology Section of the American Political Science Association, and is a member of the American Academy of Arts and Sciences. He has received fellowships from the Center for Advanced Study in the Behavioral Sciences, the National Science Foundation, and Princeton¿s Center for the Study of Democratic Politics. He is also the recipient of an award from the University of Michigan for lifetime achievement in training graduate students. Ph.D. Yale University.

Descriere

Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.