Understanding and Using Scientific Evidence

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.

Auteur

Richard Gott holds a BSc (Leeds), a PhD degree (Leicester) in Physics, and an MA in Education (Leeds). He has (co) authored 12 academic and professional books, some 18 research reports, and written over 60 journal articles and book chapters.

His research has focused on practical work and the use of evidence in school science where he has collaborated with his colleague Ros Roberts in a number of research studies, see for example http://www.dur.ac.uk/richard.gott/Evidence/cofev.htm .

Prof Gott taught on the MA (Ed) and Ed.D courses and supervises a number of doctoral research students across a range of areas of interest.

He was Head of Department from 2000 to 2005.

Contenu

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