Transparent and Reproducible Social Science Research: How to Do Open ScienceRecently, 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. |
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American Economic Review analysis approach authors Chapter covariates crowdsourcing data collection datasets described differential privacy direct replication discuss Doucouliagos effect size empirical error estimates evidence example experiment experimental false positives Figure file drawer problem findings guidelines heterogeneity https://doi Ioannidis literature Merton meta-analysis method Miguel minimum wage Netflix nomic norms null hypothesis null results Open Science original study outcomes p-curve p-values paper percent political science potential power pose practice pre-analysis plans prespecified problem protocols psychology publication bias published randomized controlled trials registry regression replication studies reporting standards reproducibility research community research design research transparency sample scholars scientific sharing Simmons Simonsohn social science social science research social scientists specification searching Stata statistical power statistically significant study registration survey test statistics tion treatment effects type I error users variables