Regression Analysis: A Constructive Critique (Advanced Quantitative Techniques in the Social Sciences) (v. 11)
|Rating||:||4.22 (954 Votes)|
|Number of Pages||:||280 Pages|
It will also be a useful foil for conventional texts for the teaching of the regression model. Graduate students in sociology, education, public policy, and any number of similar fields should also use it. Freedman)"This book lives up to its subtitle as a "constructive critique" that complements the more standards "how-to" treatments of regression, and I hope that many students and practitioners will be inspired by it to think harder about the connections between their data analysis, their statistical models, and their social science research goals." CRIMINAL JUSTICE REVIEW (Andrew E. Gel
Alexander C. Zorach said An amazing book, but with two serious shortcomings. This book is a must-read for any statistician or researcher in the social science who desires to use regression in their work, or to interpret or critique others' work that makes use of regression. The focus of the book is on identifying the potential for abuse of regression and finding ways to use regression effectively without abusing it. This book is extremely disciplined in its philosophical approach and aims to cultivate that same critica. First, I believe that contrary to the author's introductory First, I believe that contrary to the author's introductory remarks, that in fact this book is nothing more than a hatchet job on regressions of all things. However, with all the flaws in safely making inferences from statistical analysis in general, the struggle to advance knowledge is hugely benefited from these flawed exercises. Without abductive reasoning we would all still be living in grass huts. So only include variables in, say, a step. A different take David Zes Emphasizes concepts and conditions underlying good regression. While typical books on regression hurl equations at you, this book details the meaningfulness of various model assumptions.
Freedman, Professor of Statistics, University of California, Berkeley. Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so that readers can better match regression analysis with useful empirical questions and improved policy-related research."An interesting and lively text, rich in practical wisdom, written for people who do empirical work in the social sciences and their graduate students."--David A. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set