The Fall 2023 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.

An increasing effort has been put into dealing with the question of time-series analysis regarding institutional efficiency, including in the area of higher education. Universities are important institutions for economies and societies and are expected to provide excellence as well as efficiency in their processes and outputs. This is reflected in…

This 60-Second survey (Appendix A) was a partnership between the American Council on Education (ACE) and AACRAO. Colleges and universities have invested in the use of data analytics to improve student outcomes, close attainment gaps, and improve organizational performance. As environmental conditions continue to evolve, the pressure to do so in…

Increasingly US jobs require data science and analytics skills. Can we meet the demand? The current shortage of skills in the national job pool demonstrates that business-as-usual strategies won't satisfy the growing need. If we are to unlock the promise and potential of data and all the technologies that depend on it, employers and educators will…

Education and earnings interact in complex and often unexpected ways--but there are rules to the game. "The College Payoff," a new paper from the Georgetown University Center on Education and the Workforce, uses in-depth data analysis to identify, illuminate and elucidate those rules. This executive summary provides a glimpse of the education and…

In recent years, interest has spiked in data-driven decision making in education--that is, using various types of student data to inform decisions in schools and classrooms. In October 2008, the Council of the Great City Schools and American Institutes for Research (AIR) launched a project funded by The Bill & Melinda Gates Foundation that focused…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 1998 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 1998 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 1998 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 95 cohort data set. It groups each variable into data elements that identify common variables within and across waves. Information is provided about each data element, including its purpose, values, base populations and…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 95 cohort data set. It groups each variable into data elements that identify common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and relevant…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 1998 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and…

This technical paper contains information about the variables in the Longitudinal Surveys of Australian Youth (LSAY) Year 1998 cohort data set. It groups each variable into data elements which identifies common variables within and across waves. Information is provided about each data element including its purpose, values, base populations and…

Examines perceived risk data from the United States, China, Japan, and South Korea. Compares similar results collected from previous studies. Analyzes psychometric scaling scores from Burkina Faso, France, Norway, and Hungary. (Author/CCM)