Daphne C. Watkins 
Secondary Data in Mixed Methods Research [PDF ebook] 

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.

Cuprins

Series Editors’ Introduction

Preface

How This Book Came to Be

Necessity Is the Mother of Invention

What This Book Covers

How Readers Can Use This Book

Audiences for This Book

Pedagogical Features

Structure of the Book

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

Imagine

The Science of Secondary Data

The Epistemology of Secondary Data

Types of Secondary Data

Scientific Developments With Secondary Data

Chapter 2 • Using Secondary Data in Mixed Methods

Imagine

The Knowledge-Level Continuum as a Roadmap for Mixed Methods

What Is Required to Do Mixed Methods With Secondary Data?

Secondary Data in Mixed Methods: Three Reasons Why

Examples for How Mixed Methods Could Benefit From Secondary Data

Mixed Methods Solo, Semi-Solo, and With a Team

Chapter 3 • Evaluating Secondary Data for Mixed Methods

Imagine

The Life Cycle of Research Data and a Place for Secondary Data

Three Considerations When Selecting Secondary Qualitative and Quantitative Data

Ten Questions When Evaluating a Secondary Qualitative or Quantitative Data Source

Applying the Ten Questions to Secondary Data

PART II • DESIGNING AND CONDUCTING MIXED METHODS WITH SECONDARY DATA

Chapter 4 • Convergent Design With Secondary Data

Imagine

Features of the Convergent Design

Bringing Secondary Data Into the Convergent Design

Planning and Implementing a Convergent Design With Secondary Data

Challenges (and Solutions) When Using Secondary Data in the Convergent Design

Chapter 5 • Exploratory Sequential Design With Secondary Data

Imagine

Features of the Exploratory Sequential Design

Bringing Secondary Data Into the Exploratory Sequential Design

Planning and Implementing an Exploratory Sequential Design With Secondary Data

Challenges (and Solutions) When Using Secondary Data in the Exploratory Sequential Design

Chapter 6 • Explanatory Sequential Design With Secondary Data

Imagine

Features of an Explanatory Sequential Design

Bringing Secondary Data Into the Explanatory Sequential Design

Planning and Implementing an Explanatory Sequential Design With Secondary Data

Challenges (and Solutions) When Using Secondary Data in the Explanatory Sequential Design

Chapter 7 • Complex Applications of the Core Designs With Secondary Data

Imagine

Features of a Complex Design

Bringing Secondary Data Into Complex Designs

Case Studies of Complex Mixed Methods Designs With Secondary Data

Challenge (and Solution) When Using Secondary Data in Complex Designs

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

Imagine

Early-Stage and Active Project Writing: Defined

Examples of Early-Stage Writing

Examples of Active Project Writing

Tips to Maximize Early-Stage and Active Project Writing

Chapter 9 • Reporting Mixed Methods With Secondary Data

Imagine

Reporting Mixed Methods With Secondary Data

Project Deliverables for Mixed Methods With Secondary Data

Challenges When Reporting Mixed Methods With Secondary Data

Tips for Reporting Mixed Methods With Secondary Data

Glossary

References

Despre autor

Daphne C. Watkins is a professor of social work and a University Diversity and Social Transformation Professor at the University of Michigan. She became interested in mixed methods research during her quest to uncover the “voices behind the numbers” as a doctoral student. Professor Watkins has taught research methods to health and human service professionals for more than two decades. After noticing the lack of post-graduate research training, Professor Watkins developed the first Certificate Program in Mixed Methods Research at the University of Michigan School of Social Work. The certificate program – designed for researchers and practitioners interested in doing mixed methods research in practice settings – was the motivation behind her first book Mixed Methods Research (2015, Oxford University Press) for the Pocket Guides to Social Work Research Methods Series. In addition to developing culturally-appropriate strategies for conducting mixed methods, Professor Watkins developed the Rigorous and Accelerated Data Reduction (RADa R) technique, an individual and team-based approach to organizing, coding, and analyzing qualitative data. Professor Watkins is particularly interested in using secondary data in mixed methods research and has been awarded grants that address health disparities and achieve health equity. Professor Watkins is the founding director of the Gender and Health Research (Gend HR) Lab and the award-winning Young Black Men, Masculinities, and Mental Health (YBMen) Project, which leverages technology to provide mental health education and social support for young Black men. She currently directs the Vivian A. and James L. Curtis Center for Health Equity Research and Training at the University of Michigan.