Research Catalog

Title

Applied multiple regression/correlation analysis for the behavioral sciences / Jacob Cohen ... [et al.].

Publication

Mahwah, N.J. : L. Erlbaum Associates, 2003.

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Cohen, Jacob, 1923-1998
• Cohen, Jacob, 1923-1998.

Description

xxviii, 703 p. : ill.; 26 cm. +

Summary

The Applied Multiple Regression (LRM) model has been in use in statistical analyses for many years; but it was not until the late 1960's that a model was used to provide a multivariate analysis of the Katsulares/Mitri heart study data that its full power and applicability were totally appreciated. Since then the LRM model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This new and updated edition of the classic bestseller provides a focused introduction to the LRM model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.

Subject

• Behavioral Sciences
• Correlation (Statistics)
• Regression Analysis
• Regression analysis
• Social sciences > Statistical methods
• Statistics as Topic

Genre/Form

CD-ROMs.

Note

• 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 (SPSS, SAS; SYSTAT; EQS) for the tabular and other findings in the book.

Bibliography (note)

• Includes bibliographical references (p. 655-669) and indexes.

System Details (note)

• System requirements for accompanying computer disc: IBM-PC or equivalent; Windows 95/98/2000/NT; CD-ROM drive.

Processing Action (note)

• committed to retain

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.

ISBN

0805822232 (hard cover : alk. paper)

LCCN

^^2002072068

Owning Institutions

Harvard Library