The College Stress Test


Book Description

Provides an insightful analysis of the market stresses that threaten the viability of some of America's colleges and universities while delivering a powerful predictive tool to measure an institution's risk of closure. In The College Stress Test, Robert Zemsky, Susan Shaman, and Susan Campbell Baldridge present readers with a full, frank, and informed discussion about college and university closures. Drawing on the massive institutional data set available from IPEDS (the Integrated Postsecondary Education Data System), they build a stress test for estimating the market viability of more than 2,800 undergraduate institutions. They examine four key variables—new student enrollments, net cash price, student retention, and major external funding—to gauge whether an institution is potentially at risk of considering closure or merging with another school. They also assess student body demographics to see which students are commonly served by institutions experiencing market stress. The book's appendix includes a powerful do-it-yourself tool that institutions can apply, using their own IPEDS data, to understand their level of risk. The book's underlying statistical analysis makes clear that closings will not be nearly as prevalent as many prognosticators are predicting and will in fact impact relatively few students. The authors argue that just 10 percent or fewer of the nation's colleges and universities face substantial market risk, while 60 percent face little or no market risk. The remaining 30 percent of institutions, the authors find, are bound to struggle. To thrive, the book advises, these schools will need to reconsider the curricula they deliver, the prices they charge, and their willingness to experiment with new modes of instruction. The College Stress Test provides an urgently needed road map at a moment when the higher education terrain is shifting. Those interested in and responsible for the fate of these institutions will find in this book a clearly defined set of risk indicators, a methodology for monitoring progress over time, and an evidence-based understanding of where they reside in the landscape of institutional risk.







Leveraging Data for Student Success


Book Description

People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might want to share that information with other service providers who could build upon that strategy. Some organizations that fund programs for students will want a report demonstrating the program’s success. Determining whether a program is effective requires expertise in data collection, study design, and analysis. Not all project directors have this expertise—they tend to be primarily focused on working with schools, teachers, and students to undertake program activities. Collecting and obtaining student-level data may not be a routine part of the program. This book provides an overview of the process for evaluating a program. It is not a detailed methodological text but focuses on awareness of the process. What do program directors need to know about data and data analysis to plan an evaluation or to communicate with an evaluator? Examples focus on supporting college and career readiness programs. Readers can apply these processes to other studies that include a data collection component.




Data Science in Education Using R


Book Description

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.







Fees for Services


Book Description




The Condition of Education, 2020


Book Description

The Condition of Education 2020 summarizes important developments and trends in education using the latest available data. The report presentsnumerous indicators on the status and condition of education. The indicators represent a consensus of professional judgment on the most significant national measures of the condition and progress of education for which accurate data are available. The Condition of Education includes an "At a Glance" section, which allows readers to quickly make comparisons across indicators, and a "Highlights" section, which captures key findings from each indicator. In addition, The Condition of Education contains a Reader's Guide, a Glossary, and a Guide to Sources that provide additional background information. Each indicator provides links to the source data tables used to produce the analyses.










Higher Education Accountability


Book Description

Beginning with the earliest efforts to regulate schools, the author reveals the rationale behind accountability and outlines the historical development of how US federal and state policies, accreditation practices, private-sector interests, and internal requirements have become so important to institutional success and survival