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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.
List of contents
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
About the author
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).
Summary
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.
