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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3r

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3r

USD 33.00 USD
SKU: ImnAYWv7
Brand: Routledge
MPN: 0805822232
GTIN: 9780805822236
Condition: Good

The product is a revised edition of "Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences" by Jacob Cohën, Leona S. Aiken, Stephen G. West, and Patricia Cohen. This textbook serves as a comprehensive resource for students and professionals in psychology, mathematics, and social science. With a focus on practical applications and data analysis, the book covers topics such as bivariate correlation, multiple regression with two or more independent variables, and advanced regression models. The third edition features an increased emphasis on graphics, confidence intervals, and effect size measures, making it a valuable tool for researchers seeking to clarify their research questions and interpret their results.

Categories: Books & Magazines

Specifications

LCCN 2002-072068
PublicationName ABIS_BOOK
MPN 0805822232
ISBN-13 9780805822236
ISBN-10 0805822232
LC Classification Number HA31.3.A67 2003
Brand Routledge
Illustrated Yes
Country Of Origin United States
ISBN 9780805822236
Publisher Routledge
Item Length 10.1 in
Publication Year 2002
Type Textbook
Format Hardcover
Language English
Item Height 2 in
Item Weight 50.5 Oz
Item Width 7.3 in
Number Of Pages 736 Pages

The product is a revised edition of «Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences» by Jacob Cohën, Leona S. Aiken, Stephen G. West, and Patricia Cohen. This textbook serves as a comprehensive resource for students and professionals in psychology, mathematics, and social science. With a focus on practical applications and data analysis, the book covers topics such as bivariate correlation, multiple regression with two or more independent variables, and advanced regression models. The third edition features an increased emphasis on graphics, confidence intervals, and effect size measures, making it a valuable tool for researchers seeking to clarify their research questions and interpret their results.

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