Juha Sohlberg provides programming expertise for education projects, working on quality assurance support, data cleaning, process automation, and the development of Stata and SAS programs.
Sohlberg has contributed to the development of numerous teacher and school value-added models, including models for the Pittsburgh Public Schools, the state of Oklahoma, and the District of Columbia. He also is formulating standardized student-level data sets at the school-district level for Mathematica’s large-scale evaluation of the Teacher Incentive Fund evaluation and provided quality assurance and code review for a multi-year evaluation of KIPP schools.
Before joining Mathematica in 2011, Sohlberg held positions at Michigan State University, the National Board of Customs in Finland, and the University of Helsinki. He has an M.A. in mathematics from the University of Helsinki.
Mathematica built on its initial study of KIPP middle schools with this five-year project, designed to address the question of whether KIPP can maintain its effectiveness as the network grows. The study included an impact analysis, an implementation analysis, and a correlational analysis.
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