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Understanding and Using Scientific Evidence
How to Critically Evaluate Data

 

You are here: Sciences > Science: General Issues 

Word Power Books

Understanding and Using Scientific Evidence
How to Critically Evaluate Data

by Sandra Duggan (Author)
by Richard Gott (Author)

 

Hardback

ISBN: 9780761970835

 

Availability:
If Item in stock, posted within 24 hours. Otherwise expected despatch within 5 to 15 working days.

 

Our Price: £73.00

RRP £73.00 , Save £0.00

 

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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.


 

ISBN 761970835
ISBN13 9780761970835
Publisher Paul Chapman Publishing Ltd
Format Hardback
Publication date 30/07/2003
Pages 198
Weight (grammes) 458
Published in United Kingdom
Height (mm) 234
Width (mm) 156

Introduction The Design of a Simple Investigation Different Types of Variables Other, and More Complex, Designs Making the Best Use of Tables and Graphs What do the Data Mean? Are the Measurements Good Enough? Samples and Populations Lots of Measurements Data as Part of Evidence