
Doing Research with Secondary Data
Daniel Muijs(Author)
SAGE Publications Ltd (Publisher)
1st Edition
Published on 15. January 2025
Book
Hardback
224 pages
978-1-4462-7064-6 (ISBN)
Description
This authoritative and user-friendly guide to the use of secondary data in educational research is the only one to cover the full breadth of both qualitative and quantitative secondary data sources, covering the spectrum from large-scale studies down to organizational data.
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 242 mm
Width: 170 mm
ISBN-13
978-1-4462-7064-6 (9781446270646)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
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Daniel Muijs
Doing Research with Secondary Data
Book
01/2025
1st Edition
SAGE Publications Ltd
€49.70
Shipment within 15-20 days
Person
Professor Daniel Muijs is Chair of Education. Previously he worked at the University of Manchester as Chair of Pedagogy and Teacher Development at the University of Manchester, School of Education, as Chair of School Leadership and Management at the University of Newcastle and as senior at Warwick Institute of Education. He is an acknowledged expert in the field of Educational and Teacher Effectiveness and is co-editor of the journal 'School Effectiveness and School Improvement'. He has published widely in the areas of educational effectiveness, leadership and research methods, and has conducted research for government agencies (DCSF, NCSL, QCA), Charitable Trusts (Gatsby) and Research Councils (ESRC).
Content
Introduction Why (not) use secondary data? Research questions and design Sources of large-scale quantitative data Sources of large-scale qualitative data Using administrative and accountability data Using organisational data Doing meta-analysis with secondary data Mixing secondary and primary data sources Key issues in analysing quantitative secondary data Key issues in analysing qualitative secondary data Building theory with secondary data Ethical issues in using secondary data Conclusion