Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2006
Genre:	Geschichte / Politik / Kultur
	Calculus & mathematical analysis / Calculus and mathematical analysis / Educational psychology / MATHEMATICS / Mathematical Analysis / Political Methodology / quantitative methods / Social research & statistics / Social research and statistics / SOCIAL SCIENCE / Research / SOCIAL SCIENCE / Statistics / Statistics mehr...
ISBN:	9780521867061
EAN-Code:	9780521867061
Verlag:	Cambridge Academic
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 262 mm / B 186 mm / D 40 mm
Gewicht:	1242 gr
Illustration:	160 exercises, Worked examples or Exercises
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.