Compass Evaluation & Research staff have provided technical assistance in evaluation to agencies and organizations in order to improve their capacity to conduct evaluations and to demonstrate the impact of their programs. Examples of our work in this area are provided below:

Center to Improve Project Performance (CIPP)

Compass staff members have been contracted by Westat to help provide summative evaluation oversight to 12 OSEP-funded projects in planning and executing their summative evaluations. CIPP staff is overseeing project summative evaluation activities and providing technical assistance, as needed, to the grantees by selecting samples; developing draft instruments; monitoring data collection and performing reliability checks; analyzing study data; providing accurate descriptions of the methods and valid interpretations of findings; and organizing, reviewing, and editing final project evaluation reports.

Data Quality Initiative

Compass staff are working with Westat to provide technical assistance services to the smaller federal program offices in the Department of Education to help ensure their program performance data are of high quality. Technical assistance services include working with program office staff to develop measurable performance indicators, assess the quality of grantee annual performance report (APR) data, develop documents and processes to standardize data collection and reporting across grantees, and develop documents and processes to check the quality of and to aggregate APR data.

Southern Region Sustainable Agriculture Research and Education (SARE)

Compass staff members collaborated with SARE to develop and integrate a system to evaluate their Professional Development Program.

Wake County Public School System, NC

Compass staff members collaborated with the district's Office of Prevention Services to create an evaluation toolkit for the Parent Liaison program. The purpose of the toolkit is to provide the materials and guidelines necessary for the program to conduct its own evaluation in the future. The process involves developing an evaluation logic model, formative and summative evaluation plans, data collection methods and instruments, data collection timeline, and a data analysis plan.