The Measures of Effective Teaching Longitudinal Database: A Review of the MET Project and Available Data
This three day workshop will offer a broad summary of the Measures of Effective Teaching (MET) Project and resulting Longitudinal Database (MET LDB), including the design and original goals of the MET Project, video collection and scoring procedures, in addition to available data and how they were collected. The course will include deeper discussion of key elements of the study including the nested data structure (district, school, teacher, student), the randomization process and implications for analysis, and the student surveys. Additionally, time will be spent on practical considerations for current and potential users of the MET data, including logistics of accessing, linking, and scoring the video data, a description of the data file structure and organization, and discussion of the application process and demonstration of the specialized data access tools provided by the Inter-university Consortium for Political and Social Research (ICPSR). Participants will have temporary access to the MET data via the ICPSR Virtual Data Enclave and Secure Video Player for the duration of the workshop, for both structured exercises and independent work.
Data Access: Participants will have temporary access to the MET data via the ICPSR Virtual Data Enclave and Secure Video Player for the duration of the workshop, for both structured exercises and independent work.
Prerequisites: Participants must have an understanding of secondary data, data analysis skills commensurate with analysis of complex data, and knowledge of SPSS, SAS, or Stata. Additionally, participants are expected to review the available documentation and bring to the workshop tentative research questions that can be addressed by the data.
Application: Admission to this workshop is competitive. Enrollment is limited to 25 participants. Apply using the Summer Program portal (by clicking on the "Registration & Fees" tab at the top of this page) to provide your information, select the course, and complete the section on your quantitative/statistical experience. Also, upload the following documents via the portal:
- Current curriculum vita.
- Cover letter summarizing research interest pertaining to the MET data, relevant experience, and methodological training.
- Graduate students also need to provide a letter of support from their faculty adviser.
Deadline: Deadline for application is May 1, 2014.
Instructors include original MET Project Partners, MET Early Career Grantees, and ICPSR staff
Fee: There are no tuition fees for accepted participants.