There has been an increasing interest in research performance in recent years. However, in previous studies, research performance has generally been measured by traditional methods. In this study, a model based on multi-criteria decision-making (MCDM) methods is proposed to evaluate the research performance of universities. In order to apply the…

IRB insiders (author's term) refers to the individuals within IRBs who make regulatory determinations on research. The term also includes individuals who have the authority to make decisions around how the IRB operates (e.g., associate director or director). This study sought to understand the lived experiences of IRB insiders who review primarily…

Institutions have many unique cultures and organizational structures that can strengthen or inhibit the planning and implementation of initiatives to enhance data-informed decision-making, build supporting infrastructure, and align the necessary human resources. This chapter discusses different strategies for aligning resources and organizing…

Colleges have access to more data than ever before, and to unlock its full potential, the right culture, processes, and technologies are needed. Given the pressures now facing campuses, the demand for evidence-based approaches to strategy have intensified. As a result, more attention has been placed on the importance of the relationship between…

In this chapter, we walk the reader through a set of scenarios that administrators might face when using different types of data on campus. We also provide guiding questions to help institutional research professionals explore how to think about these scenarios with ethics in mind.

The depths of the impact of COVID-19 on nearly every aspect of our personal and professional lives was becoming painfully clear in May and June of 2020. While institutions of higher education had implemented crisis/emergency plans in the immediate onset of the pandemic, and largely extended those efforts into summer terms, the fall 2020 term…

The recently increased importance of practicing precision education has attracted much attention. To better understand students' learning and the relationship between their individual differences and learning outcomes, the bird-eye view possible for educational policymakers and stakeholders from educational data mining and institutional research…

The expansion of big data and analytics has led to the diffusion of institutional research functions across campus departments. In this new environment, IR professionals expect to lead and coordinate various institutional analyses. This article presents a four-quadrant framework to facilitate the dynamics between data analysis and decision-making.

We provide an overview of existing and emerging ways that institutional researchers can leverage National Student Clearinghouse data to expand a culture of data-driven decision-making across campus, with a focus on examples from the field.

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

This chapter addresses how IR/IE both responds to and leads in our institutions and across higher education in measuring and improving student success. We introduce a new student success measurement framework in the context of internal and external facing needs, we define the importance of actionable information to inform decision-making, and we…

The main purpose of institutional research (IR) is to provide objective, systematic, and thorough data that support an institution's enrollment goals, planning, policy formation, and decision making. Traditionally, institutions gathered data on their activities, students and staff, programs, management, and operations. University staff then…

Human resources (HR) represent the most significant investment on most of our college campuses in terms of time and financial resources. The importance of good data about the workforce begins with establishing a need for a new position. That need for data continues with recruiting, hiring, training, promoting, retaining (or not), and retiring…

In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…

This chapter utilizes the duties and functions of institutional research to outline the skills needed by institutional research professionals in an evolving digital institution. The concept of future-proofing, explained and considered in this context, encourages professionals to develop skills for the present with the future needs of data-informed…