Transparent and reproducible social science research : how to do open science

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Bibliographic Information

Transparent and reproducible social science research : how to do open science

Garret Christensen, Jeremy Freese, and Edward Miguel

University of California Press, c2019

  • : cloth
  • : pbk

Available at  / 5 libraries

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Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

List of Figures List of Tables Acknowledgments PART ONE. INTRODUCTION AND MOTIVATION 1 Introduction 2 What Is Ethical Research? PART TWO. PROBLEMS 3 Publication Bias 4 Specification Searching PART THREE. SOLUTIONS 5 Using All Evidence: Registration and Meta-analysis 6 Pre-analysis Plans 7 Sensitivity Analysis and Other Approaches PART FOUR. PRACTICES 8 Reporting Standards 9 Replication 10 Data Sharing 11 Reproducible Workflow 12 Conclusion Appendix Bibliography Index

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