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The psychometrician assists the psychometric team in providing services to Academic Programs at Western Governors University (WGU). This individual acts in a consulting role within the department, providing expertise in the measurement and design of objective- and performance-based assessments. The psychometrician ensures the reliability and validity of assessments and gathers data that is instrumental to improving the performance of students at WGU.
- Analyzes and interprets data from various types of assessments using a variety of statistical methods
- Coordinates and performs statistical analyses using both classical and modern (IRT) test theory methods, required for score reporting and data interpretation
- Plans, documents, and leads moderately complex and complex projects and other work assignments independently including, but not limited to, setting passing standards, sampling design, DIF analysis, item calibration, linking, scaling, and equating with 1PL (Rasch), 2PL, 3PL models
- Develops score interpretation materials through the application of statistical methods and indices
- Designs, develops, and documents technical operating procedures and statistical guidelines for various programs related to educational measurement
- Performs and interprets data analyses such as item analyses and reliability analyses
- Reports results of statistical analyses in the form of graphs, charts, and tables
- Engages in a program of research, publication, and presentations at professional conferences on measurement issues that contribute to the field
- Doctoral degree in Educational Measurement, Psychometrics, Educational Psychology, or a closely related field
- 3–5 years of experience in testing, research, or closely related fields such as statistics and data analysis (experience may include doctoral studies)
- Ability to facilitate groups and meetings in person and remotely
- Excellent written, oral, presentation, and interpersonal skills, including the ability to explain psychometrics to non-experts
- Strong organizational skills and time management skills
- Attention to detail
- Ability to manage multiple projects efficiently
- Ability to work well with a team
- Ability to adapt and produce analyses quickly in a rapidly changing environment
- Strong technical skills, including experience with SAS, R, SPSS, Winsteps, or other analytical or statistical packages
- Ability to apply statistical methods like multiple regression and mixed models to complex data sets
- Operational experience with a variety of assessment types (objective- and performance-based), including computer adaptive testing
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