Cameron McPhee is a principal researcher and survey methodologist at AIR with 18 years of experience in survey research, data collection, data management, and quantitative and qualitative analysis. Skilled in conceptualizing and managing survey data collection from design to dissemination, McPhee has extensive expertise in methodological experimentation, sampling, weighting, data collection planning and monitoring, data editing and imputation, disclosure prevention, documentation, reporting, and analysis. Her particular areas of interest include address-based sampling (ABS), mixed-mode data collection, response maximization, nonresponse error and bias analysis, and experimental study design.
Since 2013, McPhee has directed AIR’s support of the study design and data collection for the National Household Education Surveys (NHES), which transitioned in 2012 from an RDD telephone survey, to an ABS self-administered mailed questionnaire and again in 2016 to an ABS web-push mixed-mode survey. She also serves as the project director for AIR’s support for the longitudinal studies within NCES (e.g., the early childhood, middle grades, secondary, and post-secondary longitudinal studies), where she provides expertise in the design and implementation of study, data, and documentation as well as consults on the psychometric development of the direct cognitive assessments.
Prior to joining AIR, McPhee worked as an analyst with Child Trends where she employed advanced statistical techniques on large-scale national data sets in order to explore the complex relationships that shape children’s development and well-being. Specifically, using structural equation modeling, mixture modeling, and latent class analysis to explore the links between parent education and children’s health and well-being and using latent class analysis to identify patterns and predictors of risk-taking behavior among adolescents.