Currently, studies of cognition and cognitive decline in the United States are limited by the use of samples that only provide data for respondents during one stage of the adult life course. By using an Integrative Data Analysis (IDA) framework, it is possible to pool multiple national representative samples together in order to create a unified dataset that includes respondents over the entire adult life course. This study applies an IDA framework to two independent public health datasets to create a commensurate measure of cognition using Modified Non-Linear Factor Analysis (MNLFA). The overall goal is to demonstrate the process of using MNLFA for the study of cognition in a pooled dataset.
Visual-Inertial Mapping With Non-Linear Factor Recovery
