Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach Book PDF, ePub eBook

Join our eBook service for unlimited books & audiobooks. Get a free 7 day subscription! ↓↓↓↓↓


Book Descriptions:

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.

Points of Reflection encourage readers to stop and test their understanding of the material.  Try Me sections test one’s ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems.  Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book’s application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus).  Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. The worked examples in Part 2 also provide results from a wider set of estimated models.  These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions. 

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.

Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach by Adam Davey, Jyoti "Tina" Savla

From reader reviews:

Martin Sanchez:

Book is written, printed, or highlighted for everything. You can learn everything you want by a reserve. Book has a different type. As it is known to us that book is important thing to bring us around the world. Close to that you can your reading expertise was fluently. A reserve Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach will make you to always be smarter. You can feel considerably more confidence if you can know about every little thing. But some of you think which open or reading a new book make you bored. It's not make you fun. Why they may be thought like that? Have you in search of best book or acceptable book with you?

Jose Carr:

Nowadays reading books become more than want or need but also get a life style. This reading routine give you lot of advantages. The huge benefits you got of course the knowledge the rest of the information inside the book this improve your knowledge and information. The details you get based on what kind of guide you read, if you want send more knowledge just go with education books but if you want experience happy read one with theme for entertaining including comic or novel. The particular Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach is kind of reserve which is giving the reader unpredictable experience.

Clarence Danner:

The book untitled Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach contain a lot of information on the item. The writer explains the girl idea with easy way. The language is very clear to see all the people, so do definitely not worry, you can easy to read this. The book was compiled by famous author. The author brings you in the new period of time of literary works. You can actually read this book because you can keep reading your smart phone, or program, so you can read the book inside anywhere and anytime. If you want to buy the e-book, you can available their official web-site as well as order it. Have a nice study.

Eric Hempel:

Reserve is one of source of expertise. We can add our expertise from it. Not only for students but additionally native or citizen want book to know the update information of year to be able to year. As we know those textbooks have many advantages. Beside we add our knowledge, can bring us to around the world. By the book Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach we can acquire more advantage. Don't that you be creative people? To get creative person must want to read a book. Merely choose the best book that suitable with your aim. Don't be doubt to change your life at this book Statistical Power Analysis with Missing Data: A Structural Equation Modeling Approach. You can more inviting than now.