Multilevel Modeling of Categorical Outcomes Using IBM SPSS (Quantitative Methodology Series)
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| Title | : | Multilevel Modeling of Categorical Outcomes Using IBM SPSS (Quantitative Methodology Series) |
| Author | : | |
| Rating | : | 4.74 (451 Votes) |
| Asin | : | 1848729561 |
| Format Type | : | Paperback |
| Number of Pages | : | 456 Pages |
| Publish Date | : | 2012-04-18 |
| Genre | : |
This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at psypress/9781848729568. The book opens wit
Editorial : “This text has artistically balanced advanced multilevel concepts and a depth and breadth of topics in a reader-friendly, accessible fashion. It is poised to make a great splash in the methodological world. I have a copy of every text written by these authors and use them consistently for a number of reasons including clarity in writing, comprehensive coverage, and accuracy. This text offers these same characteristics. Appropriate for graduate level courses as well as individual researchers that use multilevel modelingregardless of discipline.” - Debbie L. Hahs-Vaughn, University of Central Florida, USA
“This book is a natural extension to a well-received and highly successful previous project by the same authors. Using essentially the same strategy and approach, this book extends the coverage to advanced models and thereby moves the field even further along. I highly endorse this product." - George
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