Transparent and Reproducible Social Science Research: How to Do Open Science

Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound.  Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.  

Addressing the complexity, flexibility, and controversies of qualitative research’s many genres, Designing Qualitative Research, Sixth Edition gives students, research managers, policy analysts, and applied researchers clear, easy-to-understand gui...

The Third Edition of Miles & Huberman′s classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now pres...

Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results conta...

Designed for novice as well as more experienced researchers, Reason & Rigor by Sharon M. Ravitch and Matthew Riggan presents conceptual frameworks as a mechanism for aligning literature review, research design, and methodology. The book explores the ...