Applied Multiple Regression - Correlation Analysis for the Behavioral Sciences / Edition 3

Applied Multiple Regression - Correlation Analysis for the Behavioral Sciences / Edition 3

by Jacob Cohen
     
 

ISBN-10: 0805822232

ISBN-13: 9780805822236

Pub. Date: 08/28/2002

Publisher: Taylor & Francis

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences is the classic text on multiple regression. It is noted for its non-mathematical, applied, and data-analytic approach intended to teach the reader "how to do it." Students and researchers profit from its verbal-conceptual exposition and frequent use of concrete examples. The applied

…  See more details below

Overview

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences is the classic text on multiple regression. It is noted for its non-mathematical, applied, and data-analytic approach intended to teach the reader "how to do it." Students and researchers profit from its verbal-conceptual exposition and frequent use of concrete examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions of interest. Early in the text an overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for a solid understanding of the rest of the text. The third edition reflects both the current and developing state-of-the-art practices in the field: *An increased emphasis on graphics provides greater understanding of data. *An increased emphasis on the use of confidence intervals and effect size measures provides more information about the size and precision of relationships. *An accompanying CD contains data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. These computer scripts can serve as templates for the analysis of the student's own data. *Five entirely new chapters are included: Assumptions of the regression model and remedies when they are not met (Ch. 4), detection and treatment of the potential problems of outliers and multicollinearity (Ch. 10), alternative regression models that may be used when the dependent variable is binary, ordered category, or count in form, including logistic, ordinal logistic, Poisson regression, and the generalized linear model (Ch. 13), multilevel models for data collected in groups or other clusters (Ch. 14), and the analysis of longitudinal data (Ch. 15). *Extensively revi

Read More

Product Details

ISBN-13:
9780805822236
Publisher:
Taylor & Francis
Publication date:
08/28/2002
Series:
The Inquiry and Pedagogy Across Diverse Contexts Series
Edition description:
REV
Pages:
736
Sales rank:
219,009
Product dimensions:
7.20(w) x 10.00(h) x 1.70(d)

Table of Contents

Contents: Preface. 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. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >