Statistical Power Analysis with Missing Data - Adam Davey & Jyoti Savla

Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:

* How missing data affects the statistical power in a study
* How much power is likely with different amounts and types of missing data
* How to increase the power of a design in the presence of missing data, and
* How to identify the most powerful design in the presence of missing data.

Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book’s applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.

"There is very little in the field about the effect of missing data on statistical power. This is an important area that needs to be addressed…The writing style is …easy to read and engaging…This book will … be used as a supplement in power analysis and SEM classes…and by … individuals who are currently calculating power for research studies…this book fills an important gap in the published literature."

- Jay Maddock, University of Hawaii at Manoa, USA

"This text fills an enormous hole in the literature, and is sorely needed…the clear writing, examples, and syntax for a variety of programs are major strengths…It will make a major and lasting contribution to the field…everything that I would want in a text for doctoral students is here."

- Jim Deal, North Dakota State University, USA

"… a valuable contribution to researchers conducting structural equation modeling research as well as to researchers in general in helping to inform on basic issues of missing data… reader friendly and accessible for all… The quality of scholarship is high. It is evident the authors understand the material."

- Debbie Hahs-Vaughn, University of Central Florida, USA

"The book has the potential to add to the research literature…in terms of how to do statistical power analysis with missing data…I would definitely buy this book because of the programs and instructions for power calculations for covariance structure models."

- David P. MacKinnon, Arizona State University, USA

About the Author

Adam Davey is an Associate Professor in the Department of Public Health and the Biostatistics Support Center at Temple University, where he also serves as Director of the Doctoral Program in Health Ecology. He is the author of more than 100 articles and book chapters, along with the recent volumes, Caregiving Contexts published by Springer and Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach from Psychology Press.

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