A Primer on Regression Artifacts
Donald T. Campbell, David Kenny, David A. Kenny, Charles S. ReichardtBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Synopsis
Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward the mean, facilitating comprehension with a wealth of figures and diagrams. Special attention is given to applications related to program or treatment evaluation. Numerous concrete examples illustrate the ways researchers all too often attribute effects to an intervention or other causal variable without considering regression artifacts as an alternative explanation for change. Also discussed are instances when problems are actually created, instead of solved, by "correction" for regression toward the mean. Throughout, the authors strive to use nontechnical language and to keep simulations and formulas as accessible as possible.
Booknews
A tutorial explaining the strengths and pitfalls of regression to the mean, a method widely used in statistics. Readers are assumed to have completed courses in statistics and research design and to have some knowledge of significance testing, random assignment and selection, reliability, correlation, and the classical threats to validity developed by Campbell and Stanley in 1963. Campbell (late-social relations, psychology, and education, Lehigh U.) and Kenny (social psychology, U. of Connecticut) use examples from the effects in program evaluation research because they had worked in the area before. Annotation c. Book News, Inc., Portland, OR (booknews.com)