3-059 - Integrative data analysis: Realizing the potential of dataset pooling for developmental science research

Session Type: Professional Development Session

Integrative Statement

Increasing amounts of data are becoming available open source, allowing for fundable research questions using secondary data analysis of rich extant datasets. One way to leverage the information in these datasets, integrative data analysis (IDA), allows researchers to rigorously combine extant datasets into a larger, more powerful, and cost-effective pooled raw dataset, ready for analysis. We will provide background on IDA, current methods/scripts for actually doing IDA (using R), and discuss a practical application, where 9 existing projects were combined to create a dataset of 4500 children who had completed school-based interventions for learning disabilities, opening up research questions not previously possible. We will also spend some time discussing where to find data, and how to manage it once you find it. Participants will go home with ideas on how to use IDA with their particular research questions, suggestions of places to find open source data, especially related to educational outcomes and learning disabilities, and annotated R code. Leaders are Sara A. Hart & Christopher Schatschneider, Department of Psychology and Florida Center for Reading Research, Florida State University

Sub Unit

• Professional Development Track

Session Organizers

• Sara Hart, Florida State University

• Christopher Schatschneider, Florida State University