Senior Researcher (Education Statistics) for American Institutes for Research (AIR) to work at our Arlington VA loc. May telecommute as necessary. Develop analysis plans and build analysis models to identify practices for improved measurement of NAEP & other NCES large-scale assessments. Lead or co-lead statistical and/or psychometric research studies by using advanced methodologies. Contribute to research proposals by leading development of technical plans, incl data preparation, identification of analytic approach, & conducting analyses. Apply psychometric models such as multidimensional or multi-level item response theory (IRT) models on response data in large-scale assessments to infer & predict. Advise on psychometric topics & issues such as multi-stage testing, differential item functioning, test speededness, or latent-variable models with assessment/survey data. Conduct research studies using latent-variable/statistical models on assessment process data to infer on test-taking behaviors, test reliability, & validity. Advise on standard statistical software packages to execute data analysis methodologies. Lead technical reviews of NAEP publications incl data products, tech documentation on web & Nation’s Report Cards. Train & mentor less experienced psychometricians, methodologists, & substantive researchers. Participate in prof. development & scientific stature activities incl publications & in-depth research. Contribute to production of statistical reports using data collected by NCES that offer information on education policy issues. Supervise small team of Research Associates & Research Assistants. Little domestic travel may be involved. May undergo background checks.
Must have PhD in Educational Statistics, Measurement, and Evaluation or related field, 3 years of relevant experience in educational measurement and statistics, and required skills; Masters in Educational Statistics, Measurement, and Evaluation or related field, and 7 years of relevant experience in educational measurement and statistics, and required skills; or any suitable combination of education, training, or experience is acceptable. Requires skills (3 years experience) in: classical and modern test theories; advanced theoretical and operational knowledge of IRT modeling; plausible value methodology incl generation and use of plausible values; structural equation modeling incl mixture models, multiple-group analysis, growth modeling, and model-data fit; handling missing data through multiple imputations or full-information-maximum-likelihood estimation; analysis of data collected through complex sample designs; sampling theory incl sampling, weighting, and estimation; R, flexMIRT and Mplus. Required experience and skills can be gained concurrent with education. Apply at www.air.org; ref. Job # 12097. EOE
Alternate locations : REM
External Company URL: https://www.air.org/
Post End Date: 5/25/2022
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