Overview
Regression analysis is one of the most flexible and widely used techniques of quantitative analysis and dummy variables have been central to the growing flexibility and complexity of statistical models. This thoroughly updated Second Edition combines presentation of the principles behind the use of dummy variables, application of these lessons using an extract from the American Community Survey, and visualization of the results. Melissa Hardy helps readers understand the basic distributional properties of dummy variables and how they can be used to interpret their data.
Full Product Details
Author: Melissa A Hardy (Pennsylvania State University USA)
Publisher: Sage Publications, Inc
Imprint: Sage Publications, Inc
Edition: 2nd ed.
Weight: 0.204kg
ISBN: 9781544334585
ISBN 10: 1544334583
Pages: 168
Publication Date: 22 April 2026
Audience:
General/trade
,
General
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
The book provides a gentle introduction to linear regression by starting from the basics of regression using the equation of a straight line and then builds up on it to multiple regression models. Overall, this book reads like the author is sitting by the reader and guiding them on how to implement as well as accurately interpret coefficients for categorical variables in regression models.--Duke Appiah This book takes a clear, methodical, and data-driven approach to teaching regression with dummy variables, making it a valuable resource for both students and instructors. One of its standout features is its consistent use of real-world data, which grounds abstract statistical concepts in meaningful, socially relevant examples.--Sarah M. Wolff The textbook offers a clear and structured approach to understanding complex statistical concepts, making it a valuable resource for both students and instructors. --Diana Blakeney-Billings
Author Information
Melissa Hardy is a Distinguished Professor Emeritus of Sociology and Demography at Penn State University in University Park. She is an alumna of Albright College and Indiana University in Bloomington. Her research focused on aging and the life course, retirement and age-stratified transitions, self-assessed health, and political attitudes using longitudinal data and a range of quantitative techniques. Her published work appears in American Sociological Review, Social Forces, Journal of Health and Social Behavior, and Demography. She enjoyed teaching social statistics and general linear models to graduate and undergraduates students, using everyday experiences to help them understand the meaning of statistical concepts.
