Using Secondary Data In Educational And Social Research
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Using Secondary Data In Educational And Social Research
Author: Smith, Emma
language: en
Publisher: McGraw-Hill Education (UK)
Release Date: 2008-09-01
This comprehensive guide introduces students to the use of secondary data in educational and social research, and provides a practical resource for researchers who are new to the field of secondary data analysis.
Using Secondary Data in Educational and Social Research
Author: Emma Smith
language: en
Publisher: McGraw-Hill Education (UK)
Release Date: 2008-09-16
Secondary data is a powerful tool for providing context to an otherwise small-scale study, as well as being an efficient way of bringing together a large amount of data, particularly where access to the field may be difficult. This comprehensive guide introduces students to the use of secondary data in educational and social research, and provides a practical resource for researchers who are new to the field of secondary data analysis. The author encourages researchers to consider the potential for using secondary data both as their primary research method, but also as a useful strategy in mixed methods designs. The first part of the book explores the role of secondary data analysis in contemporary social research. It considers the arguments for and against its use and addresses its particular benefits in mixed method research designs, especially those in the political arithmetic tradition. The second part introduces worked examples which show the potential for using secondary sources to answer a varied range of research questions. It provides step-by-step guidance on how to manipulate and analyse secondary data. The inclusion of recent national and international datasets as exemplars allows students to place their research in a 'real life' context and to consider current and topical research issues.
Secondary Data Analysis
This pocket guide provides an in-depth introduction to 29 of the most widely used data sets in social work and the social sciences. Readers will find information about each data set, how to locate and use the data, what types of questions the data may answer, and the key variables in the data.