ASHA is looking to solve the problem of measuring the effectiveness, equity, and value of speech-language pathology and audiology services
Requirements
- Psychometrics — Proficiency in classical and IRT item analyses, Rasch analysis, equating studies, reliability and validity studies, sampling plans, item calibration, scaling, and experimental design
- Statistical Modeling — Expertise with multiple regression, ANOVA/ANCOVA, factor analysis, and mixed-effects models
- Programming — Fluency in R, Python, SAS, SPSS, or equivalent, and IRT software
- Data Management — Ability to collect, integrate, and analyze large healthcare or education datasets and interpret federal codebooks
Responsibilities
- Conduct psychometric testing to evaluate the validity, reliability, and applicability of new and existing outcome measures across diverse populations
- Perform statistical analyses and provide related consultation to N-CEP staff to support the development of data-driven resources
- Develop and apply statistical models and methodologies (e.g., risk adjustment) to facilitate meaningful comparisons of quality measures across populations, providers and facilities
- Identify, integrate, and analyze large-scale, external datasets (e.g., Medicare, Medicaid, claims data, education records) with internal registries to support clinical research on effectiveness, equity, and cost-benefit of services
- Collaborate with cross-functional teams to understand data needs, deliver ad hoc statistical consultation and provide data-driven insights
- Communicate complex findings through accessible reports, data visualizations, and presentations for diverse audiences
Other
- Master’s degree in Statistics, Data Science, Psychometrics, Education Measurement, or related field
- Five or more years of hands-on experience applying psychometrics and advanced statistical modeling
- Ability to work independently and as part of multidisciplinary teams
- Strong organizational, prioritization, and time-management skills to effectively balance multiple projects
- Ability to explain complex issues and findings using clear, accessible language tailored to technical and nontechnical audiences
