Psychometrician and Researcher
Employment Type : Full-Time
Job Overview Lexia is seeking a Psychometrician and Researcher who is interested in applying their skills to our mission: delivering the highest quality literacy programs and best-in-class educational technology experiences to Lexia's millions of students and educators. Job Responsibilities
Researches and engages in data science activities- e.g., statistical modeling of predictors of students reaching end-of-year grade-level benchmarks; determining distributional metrics that meaningfully contextualize student performance within a unit or activity
- Provides psychometric analyses as requests arise
- Performs all psychometric analyses for team responsible for developing and enhancing Lexia's patented Assessment Without Testing methodology and embedded assessment data
- Provides expertise to assessment content development teams on the development of embedded assessment (e.g., for items and sections) using technology and paper based formats
- Applies sufficient knowledge of statistical procedures, psychometric methods and statistical programming to work independently on most aspects of statistical analysis work, while receiving instruction and guidance in other aspects.
- Ensures quality control of deliverables.
- Is accountable for basic statistical design and analysis decisions.
- Collaborates with internal teams to understand their goals and jointly scope psychometric/research/data support to meet their needs
- Creates visualizations of assessment metrics and concepts in educator dashboard reports
- Organizes and collaborates on data for visualizations and in exports
- Collaborate with Lexia's Product Research team to understand data sources/structures/meaning
- Reviews and evolves technical documentation around assessment metrics
- Evolves systems of document/file organization for collaborative access that adhere to strict data privacy guidelines
- Evidences excellent computer programming skills
Job Requirements
Ph.D. in Statistics, Psychological Measurement, Education Measurement, Psychometrics, or related field with an emphasis on quantitative analysis or psychometrics. ABD will be considered.- Significant interest in research activities outside of psychometrics and desire to evolve data science skills
- Thorough understanding of Classical Test Theory
- Deep understanding and 3+ years experience with either Rasch or Item Response Theory (IRT) including as the main psychometrician for modeling and guiding implementation
- Trained in, and experienced with, item calibration and differential item functioning analyses
- Meaningful experience and expertise with Rasch or IRT modeling software (e.g., Parscale, XCALIBRE, WINSTEPS/Facets)
- Knowledge of reading and assessment theory, strategies, instruments, and data collection and analysis methodologies
- Advanced knowledge of research design principles and experience with applied statistics/data analysis
- Ability to translate complex information into easy to understand data visualizations, insightful summaries, and data tools
- Knowledge of culturally responsive assessment practices
- Ability to work very collaboratively with variety of stakeholders
- Functional organizational, communication and writing/editing skills
- Ability to work independently to review and create educator-friendly resources
Preferred Qualificiations
Formal assessment development experience for K-12 settings- Experience with large-scale assessment programs: e.g., a department of education, testing industry, or a large school district
- Peer-reviewed publications, as lead analyst, involving Rasch or IRT modeling
- Knowledge and experience with widely used diagnostic and standardized testing measures to assess reading and language skills for grades K - 12
- Advanced knowledge of reading and assessment theory, strategies, instruments, and data collection and analysis methodologies
- Proficient in working with SQL-based databases
- Expertise in statistical programming (R, Python, SAS, etc.)
- Experience in machine learning/AI techniques (GLM/regression, clustering, decision tree learning, neural networks, etc.)
To learn more about our organization and the exciting work we do, visit https://www.lexialearning.com/ An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.