This grant will allow us to further develop, refine, and use Excel algorithms, or systematic step-by-step procedures for computations that can involve "if-then" automated reasoning, to produce output. We will use this process to extract summary variables from existing anonymous (to us) individual Excel files to succinctly characterize the performance of 365 individual children in two individually-administered working memory assessments, for use in group comparisons of whatever sort are of interest to the MJN researchers. The result of this effort will be the creation of an analysis data set, by ID, that includes a set of summary variables for each of the two assessments (games) (total up to 730 games) that were previously used by MJN in Brazil and China, for MJN researchers to analyze as they choose.
Measuring Working Memory: Designing Algorithms for Computer-Based Extraction of Summary Variables
Area(s) of Work: Child Health and Development
Mead Johnson Nutrition
11/01/2012 to 11/30/2012
$3,619