Understanding and Using Scientific Evidence
eBook - ePub

Understanding and Using Scientific Evidence

How to Critically Evaluate Data

  1. 198 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Understanding and Using Scientific Evidence

How to Critically Evaluate Data

About this book

The basic understanding which underlies scientific evidence - ideas such as the structure of experiments, causality, repeatability, validity and reliability- is not straightforward. But these ideas are needed to judge evidence in school science, in physics or chemistry or biology or psychology, in undergraduate science, and in understanding everyday issues to do with science.

It is essential to be able to be critical of scientific evidence. The authors clearly set out the principles of investigation so that the reader will be confident in questioning the experts, making an informed choice or arriving at in informed opinion. The book is intended for a wide range of readers including those who want to:

} collect their own evidence

} be able to question and judge a wide range of science-based issues that we come across in the press or other media in everyday life

} teach others how to understand evidence.

This book has been developed from the authors? work with first year undergraduates in a combined science course and in primary teacher training for science specialists. It is suitable for students training as primary science specialists, and also for ?A? level and first-year undergraduates in science and science-related subjects.

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Yes, you can access Understanding and Using Scientific Evidence by Richard Gott,Sandra Duggan in PDF and/or ePUB format, as well as other popular books in Éducation & Enseignement primaire. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title
  3. Copyright
  4. Contents
  5. Acknowledgements
  6. 1 Introduction
  7. 2 The design of a simple investigation
  8. 3 Different types of variables
  9. 4 Other, and more complex, designs
  10. 5 Making the best use of tables and graphs
  11. 6 What do the data mean?
  12. 7 Are the measurements good enough?
  13. 8 Samples and populations
  14. 9 Lots of measurements
  15. 10 Data as part of evidence
  16. Index