Secondary Data in Mixed Methods Research

Secondary Data in Mixed Methods Research
Author :
Publisher : SAGE Publications
Total Pages : 266
Release :
ISBN-10 : 9781506389561
ISBN-13 : 1506389562
Rating : 4/5 (562 Downloads)

Book Synopsis Secondary Data in Mixed Methods Research by : Daphne C. Watkins

Download or read book Secondary Data in Mixed Methods Research written by Daphne C. Watkins and published by SAGE Publications. This book was released on 2022-06-07 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secondary Data in Mixed Methods Research by Daphne C. Watkins, the latest contribution to the Mixed Methods Research Series, offers unique and necessary instruction in this growing topic. With the increasing amount of secondary data available through journals and repositories, researchers have a trove of sources for new investigations at their fingertips, but few books to guide them. This brief text provides readers with a step-by-step procedure for incorporating secondary data into various mixed methods research designs, as well as identifying key characteristics of existing datasets that make them good candidates for mixed methods projects and giving ideas for new uses of secondary data. Introductory chapters help the reader understand the “what” and “why” of secondary data. Subsequent chapters address the use of secondary data in convergent, exploratory sequential, explanatory sequential, and other complex research designs. The final chapters delve into writing and reporting on projects before, during, and after the project. Quotes throughout the chapter help readers remember key bits of knowledge, while learning objectives and summaries in each chapter structure the reading experience. Application questions at the end of each chapter help readers recall information and apply it to their own research projects. By emphasizing how to use existing qualitative and quantitative datasets in mixed methods research, Secondary Data in Mixed Methods Research will help readers answer new and ongoing questions in social science research.


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