Applied Regression Models in the Social Sciences - Couverture souple

Poston, Dudley L.

Couverture souple

ISBN 10 : 1108926266 ISBN 13 : 9781108926263

Editeur : Cambridge University Press, 2023

Synopsis

This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.

A propos du livre

À propos des auteurs

Eugenia Conde is a statistical consultant at the H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics.

Layton M. Field is an associate professor at Mount St. Mary's University, and Director of the Mount Community Advancement Resources in Training, Assessment, and Service program. He specializes in research methods and statistics, and has published articles in the areas of demography, sociology, and criminal justice.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2023
• ISBN 10: 1108926266
• ISBN 13: 9781108926263
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 560
• Coordonnées du fabricant: non disponible