ISBN: 9781316622223 - statistical modeling and inference for social science (analytical methods for social research) (6 Ergebnisse)

paperback. Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Paperback. Zustand: Very Good. Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.…

Zustand: New. In English.

Zustand: New. This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research. Series: Analytical Methods for Social Research. Num Pages: 391 pages, 18 b/w illus. 18 tables. BIC Classification: GPS; JHB; JP; KCH; KCHS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152. . . 2017. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Zustand: Brand New. reprint edition. 391 pages. 8.82x5.98x1.02 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.…