Secondary data in mixed methods research / Daphne C. Watkins.
By: Watkins, Daphne [author.]
Material type:
TextSeries: Sage mixed methods research series: 8.Publisher: Thousand Oaks, California: SAGE Publications, Inc., [2023]Copyright date: ©2023Description: xxix, 230 pages : black and white illustrations ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 1506389570; 9781506389578Subject(s): Mixed methods research | Social sciences -- Research -- Methodology | Social sciences -- Statistical methods | Mixed methods research | Social sciences -- Research -- Methodology | Social sciences -- Statistical methodsAdditional physical formats: ebook version :: Secondary data in mixed methods research.DDC classification: 300.72 | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
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Mangalore University Library | 300.72 WAT (Browse shelf) | Available | 157475 |
Includes bibliographical references (pages 207-218) and index.
An introduction to secondary data in mixed methods research. The science of secondary data ; Using secondary data in mixed methods ; Evaluating secondary data for mixed methods -- Designing and conducting mixed methods with secondary data. Convergent design with secondary data ; Exploratory sequential design with secondary data ; Explanatory sequential design with secondary data ; Complex applications of the core designs with secondary data -- Writing mixed methods with secondary data : before, during, and after. Early-stage and active project writing for mixed methods with secondary data ; Reporting mixed methods with secondary data -- Glossary.
With the increasing amount of secondary data available through journals and repositories, researchers have a trove of sources for investigations at their fingertips, but few books to guide them. This book 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, this book will help readers answer new and ongoing questions in social science research. -- Publisher's description.
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