Abstract
This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The…
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913
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- FWCI
- 0.67
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- 100%
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Authors
1Topics & keywords
Topics
Keywords
- Variety (cybernetics)
- Freedman
- Computer science
- Data science
- Management science
- Psychology
- Engineering ethics
- Engineering
UN Sustainable Development Goals
- Quality Education
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