In sum, we view IDA as a potentially powerful technique for use in both secondary and primary data analysis. In each case, important design features involving measurement, sampling and hypothesis testing should be considered, though the options for addressing challenges in each of these areas differ for secondary and primary data analysis approaches. Indeed, the greater flexibility offered by primary data analysis to address these challenges is an exciting reason to consider IDA at the point of study planning. Although a number of investigators are currently attempting this approach to IDA, the fruit of their labors and lessons from their collaborations have yet to be realized.
