Academics

Institutional Research

Institutional Research

The role of the Institutional Research (IR) department is to collect, analyze and report data that will help the University in its strategic planning, including improvements targeted at improving student learning. Critical to this role is using evidence-based assessment models to demonstrate the University's success at achieving its mission and vision.

Specifically, the department is responsible for:

  1. Providing information that supports institutional planning and decision making;
  2. Coordinating responses to inquiries for university-related information; and
  3. Serving as a comprehensive source for information about the Institution.

Two key IR department roles include Analysis and Data Management & Quality Assurance.

Analysis

The IR department works with faculty, staff and administrators to conduct research and analysis in support of institutional effectiveness, academic planning and policy formulation. This analysis includes:

  • Areas of institutional improvement and challenge
  • Data trends and performance indicators
  • External reporting
  • Attainment of external standards and accreditation
  • Levels of effectiveness and efficiency

The IR department also assists in the coordination and preparation of annual and/or specialized report requests from internal and external sources for the purpose of summarizing data including, but not limited to:

  • Surveys
  • Self Studies
  • Data Trends
  • Program Reviews

Data Management & Quality Assurance

The IR department is responsible for the design, architecture and oversight of information systems to facilitate data collection and reporting. Working in collaboration with campus staff, faculty, administrators and Information Technology, the IR department is entrusted to ensure:

  • Student data is collected using authorized channels that adhere to established best practices and procedures;
  • Data reporting mechanisms are in place that allow for ad hoc reporting at the campus and institutional levels; and
  • Data remains readily accessible to support decision making at all levels.