This talk will present the background, significance, innovation, and design of a five-year-long project funded by the National Institutes of Health in the United States of America. Three specific aims will be pursued in this project:
1) Conduct an experimental study using a high risk sample with a novel design to evaluate compliance, reactivity and validity under different data collection methods (the interactive voice response system or text-messaging) and assessment schedules (daily or weekly).
2) Develop cutting-edge statistical methodology and free software to address the missing data issue of prospective data collection methods, and to examine reactivity and validity based on intensive longitudinal data of daily health risk behaviors (including drug/alcohol use, violence, and HIV risk sexual behaviors).
3) Analyze the 9 waves of data collected through the proposed project and a prior study to build developmental models for at risk youth in order to inform prevention and intervention.