Because of a lapse in government funding, the information on this website may not be up to date,
transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted.
The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit cc.nih.gov.
Updates regarding government operating status and resumption of normal operations can be found at opm.gov.
Ante la falta de fondos del gobierno federal, no se actualizará este sitio web y la organización no responderá a transacciones ni consultas hasta que se aprueben los fondos. 
El Centro Clínico de los Institutos Nacionales de la Salud  (el hospital de investigación) permanecerá abierto. 
Consulte cc.nih.gov (en inglés). 
Infórmese sobre el funcionamiento del gobierno federal y el reinicio de las actividades en opm.gov
National Institutes of Health National Institute of Mental Health

Open Science

September 2019
Travis Riddle class=
Travis Riddle , Current: Senior Research Fellow, Consumer Financial Protection Bureau
Part of CMN Presentation Series

There is a rising chorus of calls for science to become more reliable, replicable, and reproducible. Many of these demands focus on increasing statistical power by collecting larger sample sizes. However, science is not a heterogenous pursuit, and larger sample sizes may not make sense for many types of research problems. In this talk, I describe why improved statistical power solves many research problems, and what other tools are available to you when a larger sample size does not make sense.