Name: Applied Multiple Regression/Correlation Analysis for the Behavioral Science (en Inglés)
SKU: 1637078
Price: 194.91 USD
Availability: InStock
Author: Jacob Cohen; Patricia Cohen; Stephen G. West; Leona S. Aiken

portada Applied Multiple Regression/Correlation Analysis for the Behavioral Science (en Inglés)

Applied Multiple Regression/Correlation Analysis for the Behavioral Science (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Jacob Cohen; Patricia Cohen; Stephen G. West; Leona S. Aiken

Año

2002

Idioma

Inglés

N° páginas

736

Encuadernación

Tapa Dura

Peso

ISBN

0805822232

ISBN13

9780805822236

N° edición

Categorías

Probabilidad y estadística

Applied Multiple Regression/Correlation Analysis for the Behavioral Science (en Inglés)

Jacob Cohen; Patricia Cohen; Stephen G. West; Leona S. Aiken (Autor) · Routledge · Tapa Dura

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Reseña del libro "Applied Multiple Regression/Correlation Analysis for the Behavioral Science (en Inglés)"

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of 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. 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 understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.