A01=Stephen Gorard
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Age Group_Uncategorized
Author_Stephen Gorard
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Basic analyses
Category1=Non-Fiction
Category=GPS
COP=United Kingdom
Data modelling
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Introduction to statistics
Language_English
Linear regression
Non-Inferential statistics
PA=Available
Price_€20 to €50
PS=Active
Significance tests
softlaunch
Statistical analysis
Statistical literacy
Statistical research
Statistics
Product details
- ISBN 9781526413826
- Weight: 550g
- Dimensions: 170 x 242mm
- Publication Date: 24 Feb 2021
- Publisher: Sage Publications Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
Delivery/Collection within 10-20 working days
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In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy.
Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables.
This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables.
This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.
Stephen Gorard is Professor of Education and Public Policy, and Director of the Evidence Centre for Education, at Durham University (https://www.dur.ac.uk/). He is a Fellow of the Academy of Social Sciences, member of the ESRC Commissioning Panel for the Research Methods Programme, the British Academy grants panel, and Lead Editor for BERA’s Review of Education. He is a member of the Cabinet Office Trials Advice Panel as part of the Prime Minister’s Implementation Unit.
His work concerns the robust evaluation of education as a lifelong process, focused on issues of equity, especially regarding school intakes. He is author of around 30 books and over 1,000 other publications. He is currently funded by Nesta to evaluate their EdTech Testbed, and by the British Academy to look at the impact of schooling in India and Pakistan.
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