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Transparent and Open Social Science Research

Katie Hoeberling, Ted Miguel, Garret Christensen, Kelsey Mulcahy, and Fernando Hoces

Topics Covered

Scientific Ethics and the Reproducibility Crisis
Publication Bias, Specification Search, and the “File Drawer” Problem
Pre-registration and Pre-analysis Plans
The Open Science Framework (OSF)
Approaches to Replication and Meta-Analysis
Open Data and Code
Transparent Data Visualization
Your Role in the Open Science Movement
a good understanding of statistics
undergraduate or preferably graduate experience of econometrics and/or statistical methods
some experience with statistical software such as Stata or R.

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Time

20 hours

Via

FutureLearn

Institutions

Center for Effective Global Action (CEGA)

University of California, Berkeley

Berkeley Initiative for Transparency in the Social Sciences (BITSS)

Instructors

Katie Hoeberling

Ted Miguel

Garret Christensen

Kelsey Mulcahy

Fernando Hoces

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