Regression Analysis: A Constructive Critique

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SAGE Publications, Jul 17, 2003 - Social Science - 280 pages
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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. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. 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. Freedman, Professor of Statistics, University of California, Berkeley

 

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Contents

Regression Analysis as Problematic
1
Chapter 2 A Grounded Introduction to Regression Analysis
5
Chapter 3 Simple Linear Regression
21
Chapter 4 Statistical Inference for Simple Linear Regression
39
Chapter 5 Causal Inference for the Simple Linear Model
81
Chapter 6 The Formalities of Multiple Regression
103
Chapter 7 Using and Interpreting Multiple Regression
111
Chapter 8 Some Popular Extensions of Multiple Regression
125
Chapter 9 Some Regression Diagnostics
151
Chapter 10 Further Extensions of Regression Analysis
171
Chapter 11 What to Do
203
References
239
Index
251
About the Author
259
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