Estimation, Open Science, and Beyond. Paperback, Routledge
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis ("the new statistics"), is exactly what's needed for Open Science.
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Key features of this new edition include:
- Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine.
- Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what's required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/.
- Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/.
- Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two.
- Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention
Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.