The Institute of Education Sciences (IES) at the U.S. Department of Education is sponsoring a 2-day training session in Washington, DC on January 24-25, 2012 on the What Works Clearinghouse (WWC) evidence standards and procedures for reviewing research. The training session is the first step in the process of becoming a WWC-certified reviewer.
Training and certification costs will be covered by IES. Participants who are selected to attend will be required to cover the costs of associated travel, lodging and meals. After attending this seminar, participants will be expected to complete the WWC certification process, which consists of passing a multiple choice test and successfully completing a study review.
The number of participants is limited. Should we exceed the number of available slots for qualified applicants, selection will be by lottery. Researchers who are interested in attending the training should submit a current CV to email@example.com by 12:00pm EST on Tuesday, January 10. Participants who are selected to attend will be notified on Wednesday, January 11 and further details will be provided at that time.
The mission of the Institute of Education Sciences' What Works Clearinghouse (WWC) is to be a central and trusted source of scientific evidence for what works in education. A distinguishing feature of the WWC is that it does not directly assess programs, policies, or practices, but instead reviews and reports on the findings from existing research. Educators who want to know whether an intervention is effective can read a WWC report and know that it represents a thorough review of the research literature on that intervention and a critical assessment of the evidence.
This two-day training will focus on the WWC standards and how they apply to research design, methodology, and other technical issues. The training uses a combination of presentations and interactive exercises to help potential reviewers learn to use the WWC information and resources.
The WWC training process is challenging. Participants should possess strong design and analysis skills in order to understand technical concepts about study design, calculating effect sizes, and determining statistical significance of findings.