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Applied multiple regression/correlation analysis for the behavioral sciences / Jacob Cohen ... [and others].

LIBRA HA31.3 .A67 2003 1 v. + CD-ROM
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Format:
Book
Contributor:
Cohen, Jacob, 1923-1998.
Hazel M. Hussong Fund.
Language:
English
Subjects (All):
Regression analysis.
Correlation (Statistics).
Social sciences--Statistical methods.
Social sciences.
Physical Description:
xxviii, 703 pages : illustrations ; 26 cm + 1 CD-ROM (4 3/4 in.)
Edition:
Third edition.
Place of Publication:
Mahwah, N.J. : L. Erlbaum Associates, 2003.
System Details:
System requirements for accompanying CD-ROM: Windows 95 or newer.
Summary:
Classic text on applied multiple regression considered the bible among graduate students and researchers.
Contents:
Introduction
Bivariate correlation and regression
Multiple regression/correlation with two or more independent variables
Data visualization, exploration, and assumption checking: diagnosing and solving regression problems I
Data-analytic strategies using multiple regression/correlation
Quantitative scales, curvilinear relationships, and transformations
Interactions among continuous variables
Categorical or nominal independent variables
Interactions with categorical variables
Outliers and multicollinearity: diagnosing and solving regression problems II
Missing data
Multiple regression/correlation and causal models
Alternative regression models: logistic, Poisson regression, and the generalized linear model
Random coefficient regression and multilevel models
Longitudinal regression methods
Multiple dependent variables: set correlation.
Notes:
Rev. ed. of: Applied multiple regression/correlation analysis for the behavioral sciences / Jacob Cohen, Patricia Cohen. 2nd ed. 1983.
The CD-ROM contains the data for almost all examples as well as the command codes for each of the major statistical packages for the tabular and other findings in the book.
Includes bibliographical references (pages 655-669) and indexes.
Local Notes:
Acquired for the Penn Libraries with assistance from the Hazel M. Hussong Fund.
ISBN:
0805822232
9780805822236
OCLC:
49903199

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