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Secondary Data in Mixed Methods Research
Volume:
8
Series:
Mixed Methods Research Series
Mixed Methods Research Series
Courses:
Introduction to Mixed Methods | Mixed Methods Health Research | Mixed Methods Research | Mixed Methods Research | Mixed Methods in Health Research | Multivariate Methods in Education | Public Health Research | Research Methods in Education | Research Methods in Social Work | Research Methods in Sociology
Introduction to Mixed Methods | Mixed Methods Health Research | Mixed Methods Research | Mixed Methods Research | Mixed Methods in Health Research | Multivariate Methods in Education | Public Health Research | Research Methods in Education | Research Methods in Social Work | Research Methods in Sociology
June 2022 | 264 pages | SAGE Publications, Inc
Recipient of the 2024 Textbook & Academic Authors Association (TAA) Most Promising New Textbook Award
This award recognizes excellence in 1st edition textbooks and learning materials.
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.
This award recognizes excellence in 1st edition textbooks and learning materials.
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.
Series Editors’ Introduction
Preface
Acknowledgments
List of Figures, Tables, and Case Studies
About the Author
PART I • AN INTRODUCTION TO SECONDARY DATA IN MIXED METHODS RESEARCH
Chapter 1 • The Science of Secondary Data
Chapter 2 • Using Secondary Data in Mixed Methods
Chapter 3 • Evaluating Secondary Data for Mixed Methods
PART II • DESIGNING AND CONDUCTING MIXED METHODS WITH SECONDARY DATA
Chapter 4 • Convergent Design With Secondary Data
Chapter 5 • Exploratory Sequential Design With Secondary Data
Chapter 6 • Explanatory Sequential Design With Secondary Data
Chapter 7 • Complex Applications of the Core Designs With Secondary Data
PART III • WRITING MIXED METHODS WITH SECONDARY DATA: BEFORE, DURING, AND AFTER
Chapter 8 • Early-Stage and Active Project Writing for Mixed Methods With Secondary Data
Chapter 9 • Reporting Mixed Methods With Secondary Data
Glossary
References
Sample Materials & Chapters
Chapter 1: The Science of Secondary Data
Chapter 2: Using Secondary Data in Mixed Methods
