Claude M. Setodji, PhD, MSc, Senior statistician at the RAND Corporation, codirector of the RAND Center for Causal Inference, and a professor at the Pardee RAND Graduate School, received a Doctorate of Philosophy in Statistics and a Master of Science in Statistics from the University of Minnesota, Minneapolis. Dr. Setodji, who has expertise in psychometric evaluation methodologies including exploratory and confirmatory factor analysis, item response theory and statistical data reduction, is interested in researching areas of bio-terrorism preparedness and quality of care including quality of care in nursing homes and quality of care for patients facing language barriers.

Cohort

2007-08

Projects

  • 2007-2008 Pilot Project, “Evaluating differential item functioning by race/ethnicity and age in Health Related Quality of Life (HRQOL) item banks in the Consumer Assessment of Health Providers and Systems (CAHPS).” Dr. Setodji’s RCMAR/CHIME-funded project focused on the study of any such differences in interpretation (between racial/ethnic as well as age groups) on the assessment questions in the Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys, an assessment tool developed to support the use a comprehensive and evolving family of standardized questions that ask consumers and patients to report on and evaluate their experiences with their health care particularly when it comes to communication with provider/doctors, getting needed care and in time, office staff helpfulness as well as customer service received.
  • Fongwa MN, Setodji CM, Paz SH, Morales LS, Steers WN, Hays RD. Readability and missing data in CAHPS 2.0 Medicare survey in African American and White Medicare respondents. Health Outcomes Research in Medicine. 2010 Jul;1(1): e39-e49. PMID: 8097495. PMCID: PMC280834.
  • Setodji CM, Reise SP, Morales LS, Fongwa MN, Hays RD. Differential item functioning by survey language among older Hispanics enrolled in Medicare managed care. Medical Care. 2011 May;49(5):461-8. PMID: 21422959. PMCID: PMC4166561.