Data Analysis Using Regression and Multilevel/Hierarchical Models (Record no. 339)

000 -LEADER
fixed length control field 01704nam a2200253Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191029111310.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190909
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-0-521-68689-1
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gelman, Andrew
9 (RLIN) 1115
Personal name Hill, Jennifer
9 (RLIN) 1116
245 #0 - TITLE STATEMENT
Title Data Analysis Using Regression and Multilevel/Hierarchical Models
250 ## - EDITION STATEMENT
Edition statement 11th printing
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2007
Name of publisher, distributor, etc. Cambridge University Press
300 ## - PHYSICAL DESCRIPTION
Extent 625 pages
340 ## - PHYSICAL MEDIUM
Location within medium C3 22
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element data analysis
9 (RLIN) 1118
Topical term or geographic name entry element economic model
9 (RLIN) 1119
Topical term or geographic name entry element regression analysis
9 (RLIN) 905
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.cambridge.org/core/books/data-analysis-using-regression-and-multilevelhierarchical-models/32A29531C7FD730C3A68951A17C9D983#fndtn-information">https://www.cambridge.org/core/books/data-analysis-using-regression-and-multilevelhierarchical-models/32A29531C7FD730C3A68951A17C9D983#fndtn-information</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-09-12 C3 22 137195 2019-09-12 2019-09-12 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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