| |
This is one of the best statistical texts I have ever read, and I would highly recommend using it for an advanced data analysis course. The examples and the step-by-step methods using SPSS are superb and statistically accurate.... The listings for how to interpret the coefficients will really help graduate students make sense of their results. This is an obstacle that many of my graduate students have to overcome, so the examples will be much appreciated.``
-Alison J. Bianchi, Department of Sociology, Kent State University
``The writing style is excellent for students and for applied researchers who don?t consider themselves experts in statistics. One of the particular strengths of the book is how the author writes about the interpretation of results that may lead to the respecification of models and their tests.... I would tell my collegues who don?t consider themselves experts in measurement and statistics to buy themselves a present-this book.``
?Jonna M. Kulikowich, Department of Educational and School Psychology and Special Education,
The Pennsylvania State University
``This would be a good reference for sticky issues, and I really like that this book addresses issues that researchers actually struggle with when they are working on a project, such as effective sample size and maximum likelihood.``
-Julia McQuillan, Bureau of Sociological Research and Department of Sociology, University of Nebraska?Lincoln
``The text is appropriate for graduate-level teaching and could easily be used as the primary text in a multilevel modeling seminar. In addition, applied researchers with a background in multiple regression will find this an excellent resource for modeling nested data in cross-sectional and longitudinal studies.``
-Jeffery D. Long, Department of Educational Psychology, University of Minnesota
This book provides a uniquely accessible introduction to multilevel modeling, helping readers build on the statistical techniques they already know. Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps.
ISBN - 9788122422047
|
| |
Pages : 384
|