Best Practices for the Measurement and Analysis of Cognitive Data in the International Health and Retirement Study (HRS) Family and its Harmonized Cognitive Assessment Protocol (HCAP)
- Institution
- Brown University, RI
- Principal investigator
- Richard N Jones
- Funding
- $385K
- Duration
- 2025–2030
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Abstract
Alzheimer's disease and related dementias (AD/ADRD) present significant global public health challenges, with a projected majority of future cases occurring in low- and middle-income countries. Cross-national research is essential to understand the diverse factors influencing cognitive aging and to develop effective interventions. The International Health and Retirement Study (HRS) Family and its Harmonized Cognitive Assessment Protocol (HCAP) offer unique datasets across diverse populations providing unparalleled opportunities for such research. However, the complexity of these datasets and the advanced methodological skills required for their analysis are barriers to widespread utilization. We propose a research education program titled Best Practices for the Measurement and Analysis of Cognitive Data in the International Health and Retirement Study (HRS) Family and its Harmonized Cognitive Assessment Protocol (HCAP). The program consists of two complementary short courses: Course One: Designing and Leading Cross-National Studies with HRS and HCAP Cognitive Data introduces participants to the cognitive data available in the International HRS and HCAP studies, the concept of harmonization, and best practices for designing substantive research questions and analyses involving cross-national comparisons. It is tailored for principal investigators, lab leaders, and researchers planning studies utilizing international HRS or HCAP cognitive data. Course Two: Applied Measurement Modeling in Cross-National Cognitive Aging Research provides advanced instruction in statistical methods, including item response theory and structural equation modeling, with hands-on computing practice using the international HRS and HCAP data. It is intended for researchers who wish to develop practical data analysis skills necessary for conducting advanced psychometric analyses required for statistical harmonization. Our specific aims are to develop and deliver the two-part summer short course to equip researchers with the necessary skills to conduct rigorous cross-national AD/ADRD research using the International HRS and HCAP data (Aim 1); expand the reach and impact of the training program through online resources and outreach activities. Course materials and lectures publicly will be available on-demand, offering condensed versions as pre-conference workshops, and providing "flipped" classroom options for remote participants (Aim 2); and, develop a community of practice among researchers by facilitating communication and collaboration through online forums, networking opportunities, and continuous engagement (Aim 3). By providing targeted training and resources, our program will empower researchers to utilize the International HRS and HCAP data effectively to enhance the quality and impact of cross-national cognitive aging research. This initiative will contribute to significant scientific advancements in understanding the cognitive health of older adults worldwide and support efforts to mitigate the global impact of AD/ADRD.
Research team
- Richard N JonesPI
- Lindsay C KobayashiPI
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