The federal government has collected data from colleges and universities for more than a century. However, how and what data are collected has evolved over time, as has the purposes for collecting those data. The most systematic collection of data happens through the Integrated Postsecondary Education Data System (IPEDS), which is required to be…

In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…

As we become increasingly acquainted with the rich opportunities that analytics systems can provide, there is a commensurate need to consider the extent to which analytics tools are effectively integrated, with proper training, into the day-to-day functioning of higher education professionals. This chapter explores the extent to which predictive…

Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…

Critical mixed methods approaches allow us to reflect upon the ways in which we collect, measure, interpret, and analyze data, providing novel alternatives for quantitative analysis. For institutional researchers, whose work influences institutional policies, programs, and practices, the approach has the transformative ability to expose and create…

This chapter provides a big-picture view of the postgraduate outcomes landscape. In an effort to promote understanding and to communicate the value of a higher education credential to various stakeholders, five national efforts are described, each of which provides a different perspective for defining, measuring, and collecting postgraduate…

This chapter provides examples of innovative methods and tools to collect, analyze, and report both quantitative and qualitative data in student affairs assessment.

Efforts to develop common higher education data standards are expanding both within and across countries. The institutional research (IR) community plays a critical role in assuring that these efforts capture the diverse manifestations of the postsecondary and tertiary education systems and promote responsible comparisons. This chapter provides…

Guided by the missions and visions, higher education institutions utilize benchmarking processes to identify better and more efficient ways to carry out their operations. Aside from the initial planning and organization steps involved in benchmarking, a matching or selection step is crucial for identifying other institutions that have good…

This chapter describes the development of a state-level student tracking system that enables the state and institutions to follow various cohort types of students across institutional boundaries. The system was developed by the Policy Research and Data Warehousing section of the State Council of Higher Education for Virginia (SCHEV). SCHEV is the…

In 2001, the grant and research coordinator of the Community College System of New Hampshire (CCSNH) was inspired to create an informal collaborative with representatives from other organizations who had similar interests in collecting and sharing data that related to postsecondary education aspirations and participation. Representatives were…

The value of qualitative assessment approaches has been underestimated primarily because they are often juxtaposed against long-standing quantitative traditions and the widely accepted premise that the best research produces generalizable and statistically significant findings. Institutional researchers avoid qualitative methods for at least three…

Presents the elements, components, and processes involved in setting and maintaining Web portals. Uses Santa Barbara City College as a case study of a portal implementation with the purpose of supporting knowledge management; underscores the role played and benefits gained by institutional research and the college as a result. (EV)

Presents an approach increasingly employed by businesses to track and respond to their customers to provide better and faster services: customer relationship management. Discusses its applicability to the operations of higher education and institutional research and the role it plays in the knowledge management framework. (EV)

Provides guidelines for building a consistent and reliable database of expenditures within an institution of higher education. Stresses the importance of involving key constituencies, including both data providers and data users, in decisions about building the data elements for such a database and the resulting campus cost studies. (DB)