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Research Associate Professor
Northwestern University
Missouri City, Texas, United States
I am a Research Associate Professor in the Department of Medical Social Sciences at Northwestern University’s Feinberg School of Medicine. My doctorate is in Educational Psychology; I am a fully trained psychometric scientist with expertise in classical and modern test theory and their health measurement applications. I have a strong research track record focused on psychometric development, adaptation, evaluation, and interpretation of health-related measures, including instruments measuring attitudes, beliefs, and disease-specific quality of life among identified patient populations. I also have expertise in the behavioral modeling of health and quality of life-related outcomes. Along with my PhD, I hold a Master in Public Health degree in Epidemiology with an emphasis in Biostatistics. My combined background in psychometrics and epidemiology makes me uniquely prepared to contribute to this project’s aims and analyses. My particular interests include: differential item functioning (DIF) impact analyses, IRT- and observed-score-based measure linking, information-based reliability for short form development, emerging methods for estimating patient-reported outcome (PRO) change thresholds, and latent growth curve and latent class analysis for longitudinal data. To date, I have collaborated on a number of “measurement-methods-technology” projects: iPad-delivered PRO assessments and reports in a cancer-related fatigue clinic (UT MD Anderson Cancer Center); measure development, bias studies, and English-Spanish equivalence of Health LiTT (Health Literacy Assessment Using Talking Touchscreen Technology); PRO delivery, reporting, and longitudinal assessment for palliative and hospice care (UT MD Anderson Cancer Center); computer adaptive testing (CAT) algorithm development for the Pain Assessment Screening Tool and Outcomes Registry or “PASTOR” (DoD); multi-platform guideline-based breast, cervical, colon, and prostate cancer screening tracking tool (CDC); NIH PROMIS and NIH Toolbox measure development, testing, and Assessment Center-based delivery; and iPad-delivered condition-specific PROs for patients with implanted mechanical circulatory support devices (NHLBI).
I do not have any relevant financial / non-financial relationships with any proprietary interests.
Thursday, November 10, 2022
3:55 PM – 4:11 PM
