integrated Data Analysis for Strengthening Health
Integrative data analysis (IDA) is a method for fitting models to pooled data (Curran & Hussong, 2009; Lorenz, Simons, Conger, Elder, Johnson & Chao, 1997; McArdle, Hamagami, Meredith & Bradway, 2000). This approach, long employed in pharmaceutical and clinical research, is becoming increasingly popular in the behavioral sciences (DeRubeis, Gelfand, Tang & Simons, 1999; Higgins, Whitehead, Turner, Omar, & Thompson, 2001). Fundamentally, IDA is the statistical analysis of separate samples pooled into one single dataset (Curran & Hussong, 2009). This approach requires integrating datasets by harmonizing measurement for simultaneous analysis.PEPR's Integrative Data Analysis for Strengthening Health (iDASH) broadly adopts Hussong, Curran and Bauer (2014)’s model for building commensurate measures for IDA.
iDASH supports multiple IDA efforts including a RWJF effort to understand the value of social emotional learning as well as a NIDA effort developing shadow prices for substance abuse risk factors. Both projects include substantial amount of data and ample opportunities for collaboration. Those interested should contact PEPR here.