The Center on Teaching and Learning (CTL) is a research unit and its primary mission is to conduct, translate, and disseminate research that focuses on the solutions and resolutions to serious but practical problems in school systems, including classrooms, schools, special education settings, and school districts. The CTL is also responsible for the administration and oversight of the DIBELS Data System (DDS). The DIBELS Data System is a web-based database that enables district and schools to enter assessment scores, generate reports, and monitor student reading performance using a variety of Curriculum-Based Measurement (CBM) materials (i.e., DIBELS, IDEL, easyCBM) as well as outcome tests. This position is intended to ensure that CTL has the personnel capacity to continue its primary mission of conducting research in schools and to continue to support the evolution of the data system to include new reporting features, up-to-date data analysis of system information, and new measure development.
Duties and Responsibilities:
- Organize and supervise: data management using statistical software programs such as SPSS, R, or SAS; data validation and cleaning; documentation of data entry procedures and datasets.
- Organize and supervise data analyses carrying out routine database inquiries and descriptive analyses.
- Use of at least one statistical software package (e.g., HLM, R, SAS, SPSS) for multi-level analyses.
- Carry out graphical data analysis (using programs like R). Carry out structural equation modeling (using programs like Mplus, AMOS, etc.), multi-level growth curve modeling (using programs like ML-Win, NLME, etc.), growth mixture modeling (using programs like Mplus), survival analysis (using programs like R), generalized additive models (using programs like R), generalized linear models (using programs like R), and multivariate analysis of variance and covariance (using programs like R).
- Carry out measurement analyses, including but not limited to: statistical equating (using programs like R Equate), Rasch modeling and IRT.
- Serve as primary author for the statistical, methodological, and graphical sections of manuscripts and technical reports.
- Prepare scientific manuscripts and grant proposals.
- Carry out advanced statistical analyses related to all phases of preparation of scientific papers, presentations, slide shows and grant applications in collaboration with other participating investigators.
- Miscellaneous tasks as assigned.
- Ph.D. in Educational Psychology or related field.
- Publication of a minimum of four articles in refereed journals.
- Experience applying advanced statistical models to formative assessment data such as Curriculum-Based Measures and experience working with large databases.
- Experience conducting impact analyses (i.e., efficacy trials), preferably in the area of early literacy research.
- Experience conducting sub-group analyses with special populations of students, including English Language Learners, and Special Education students.
- Experience conducting measurement development and validation analyses, including experience with classical test theory/methods as well as with IRT theory/methods.
- Ability to work and communicate effectively (both verbally and in writing) with individuals from diverse backgrounds.
- Successful completion of a criminal background check.
Send a letter of application and a current vita to Ellen McHaley, 5292 University of Oregon, Eugene, Oregon 97403-5292 or to firstname.lastname@example.org . Your letter of application is extremely important and should carefully document your interest in the position and your qualifications. To ensure consideration all materials must be received by September 5, 2012 . The position will remain open until filled.
The position is subject to a criminal background check.
The University of Oregon is an equal opportunity/affirmative action institution committed to cultural diversity and compliance with the Americans with Disabilities Act.