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Combinatorics of Experimental Design (Oxford Science Publications) by Anne Penfold Street (Repost)
Electrochemical Science and Technology - Fundamentals and Applications
"Modern Techniques in Neuroscience Research" by ed. Uwe Windhorst, Hakan Johansson (Repost)
Harvard Extension School - CS50: Introduction to Computer Science I (Scratch, C / Si, PHP, JavaScript, SQL, HTML, CSS etc.)
Indian Institute of Science - Compiler Design
The Ego Tunnel - The Science of the Mind and the Myth of the Self
Braintrust - What Neuroscience Tells Us about Morality
Introduction to Nanoelectronics - Science, Nanotechnology, Engineering, and Applications
Inside the Mind of the Shopper - The Science of Retailing
Science and Technology Ethics [Repost]
Sustainable Energy Pricing - Nature, Sustainable Engineering, and the Science of Energy Pricing
Glycoscience: Synthesis of Substrate Analogs and Mimetics
Service Science, Management, and Engineering Education for the 21st Century
Big Ecology - The Emergence of Ecosystem Science
Happiness - The Science behind Your Smile
-Service Science, Management, and Engineering Education for the 21st Century- ed. by Bill Hefley and Wendy Murphy (Repost)
Calculus for Business, Economics, Life Sciences and Social Sciences (12th Edition)
Science and Engineering Indicators 2010
Science and Engineering Indicators 2012
Useful Links
Categorical Data Analysis for the Behavioral and Social Sciences
Posted on 2011-08-18
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More Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer. To achieve this goal, the authors: Review the theoretical implications and assumptions underlying each of the procedures Present each concept in general terms and illustrate each with a practical example Demonstrate the analyses using SPSS and SAS and show the interpretation of the results provided by these programs.
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