Artículos relacionados a Regression Analysis and Linear Models: Concepts, Application...

Regression Analysis and Linear Models: Concepts, Applications, and Implementation (Methodology in the Social Sciences) - Tapa dura

Libro 16 de 33: Methodology in the Social Sciences

Darlington, Richard B.; Hayes, Andrew F.

 
9781462521135: Regression Analysis and Linear Models: Concepts, Applications, and Implementation (Methodology in the Social Sciences)
Tapa dura
ISBN 10: 1462521134 ISBN 13: 9781462521135
Editorial: Guilford Press, 2016

Sinopsis

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS.

Pedagogical Features:
*Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification.
*An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses.
*Students are guided to practice what they learn in each chapter using datasets provided online.
*Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Richard B. Darlington, PhD, is Emeritus Professor of Psychology at Cornell University. He is a Fellow of the American Association for the Advancement of Science and has published extensively on regression and related methods, the cultural bias of mental tests, the long-term effects of preschool programs, and, most recently, the neuroscience of brain development and evolution.

Andrew F. Hayes, PhD, is Distinguished Research Professor in the Haskayne School of Business at the University of Calgary, Alberta, Canada. His research and writing on data analysis has been published widely. Dr. Hayes is the author of Introduction to Mediation, Moderation, and Conditional Process Analysis and Statistical Methods for Communication Science, as well as coauthor, with Richard B. Darlington, of Regression Analysis and Linear Models. He teaches data analysis, primarily at the graduate level, and frequently conducts workshops on statistical analysis throughout the world. His website is www.afhayes.com.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Guilford Press
Año de publicación
2016
Idioma
Inglés
ISBN 10 
1462521134
ISBN 13 
9781462521135
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
661
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania