State postsecondary education data systems are vital assets for policymakers, researchers, and the public. The State Higher Education Executive Officers Association's (SHEEO) Communities of Practice project builds upon SHEEO's efforts to measure the capacity and effective use of state postsecondary data systems and provides states with…

Intervention studies focused on improving reading outcomes are scarce for postsecondary students with disabilities. Historically, comprehensive transition and postsecondary education programs (CTPs) for students with disabilities focused on employment, living, personal, and social skills over academic instruction. Recently, there is an emphasis to…

In a time when fewer resources force school leaders to make critical decisions, the data-driven decision-making model continues to offer promise. This research project provides observations about factors used for decision making from 14 district leaders across five Iowa school districts. Placing these factors for decision making within the…

Expanding access to high-quality, affordable early childhood services is key to state efforts to support families' well-being, ensure that children are ready to succeed in school, and sustain a strong economy. Right now, early childhood data is typically housed in different, disconnected state and local systems. State leaders seeking to provide…

Regular attendance is essential to providing students with opportunities to learn. State and local education agencies (SEAs and LEAs) play a crucial role in tracking, measuring, and addressing student attendance. The coronavirus disease (COVID-19) pandemic affected the way that many SEAs and LEAs collect attendance data. This resource highlights…

A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…

This quantitative study explored the statistical relationship between American Association of Community Colleges (AACC) leadership competencies and data-driven decision making (DDDM) literacy among rural community college leaders in the Midwest. Specifically, the authors examined how AACC community college leadership competencies may predict the…

Many states struggle with collecting reliable and valid data that can be easily analyzed at the state level. This can be particularly challenging in states where schools and districts have local control over the selection of their assessment tools. This state spotlight presents the strategies that the Iowa Department of Education (IDE) used to…

Data-driven decision making (DDDM), or the use of data to inform educational practices, has become an emerging field of interest over the past decade for educational leaders and researchers. The purpose of this quantitative study is to examine community college leaders' perspectives on institutional DDDM practice, especially those DDDM practices…

Traditionally seen as a way for institutions to help students alleviate some of the financial demands placed on them, on-campus student employment has several additional benefits institutions can leverage to assist students along their collegiate journey. If designed and operationalized effectively, institutions can use their on-campus student…

State and local education agencies across the country face challenges related to understanding and managing their teaching staff to best help students learn. Statewide longitudinal data systems (SLDSs) offer valuable information about teacher labor markets that can be used to analyze supply and demand, inform budget and staffing decisions, and…