Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Institutional Characteristics | 6 |
Mathematical Models | 6 |
Statistical Analysis | 6 |
Scores | 3 |
Correlation | 2 |
Costs | 2 |
Efficiency | 2 |
Predictor Variables | 2 |
Productivity | 2 |
Teaching Experience | 2 |
Achievement Rating | 1 |
More ▼ |
Author
Bandres, Eduardo | 1 |
Bessant, A. | 1 |
Fowler, William J., Jr., Ed. | 1 |
Kobrin, Jennifer L. | 1 |
Koshal, Manjulika | 1 |
Koshal, Rajindar K. | 1 |
Mancebon, Maria-Jesus | 1 |
Patterson, Brian F. | 1 |
Schwerdtfeger, Sara | 1 |
Publication Type
Education Level
Higher Education | 2 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Iowa Tests of Basic Skills | 1 |
SAT (College Admission Test) | 1 |
Schools and Staffing Survey… | 1 |
What Works Clearinghouse Rating
Schwerdtfeger, Sara – ProQuest LLC, 2017
This study examined the differences in knowledge of mathematical modeling between a group of elementary preservice teachers and a group of elementary inservice teachers. Mathematical modeling has recently come to the forefront of elementary mathematics classrooms because of the call to add mathematical modeling tasks in mathematics classes through…
Descriptors: Preservice Teachers, Elementary School Teachers, Mathematical Models, Teacher Characteristics
Kobrin, Jennifer L.; Patterson, Brian F. – College Board, 2010
There is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict first-year college performance at different institutions. This paper demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. In a model that…
Descriptors: Scores, Validity, Prediction, College Freshmen

Mancebon, Maria-Jesus; Bandres, Eduardo – Education Economics, 1999
Evaluates efficiency of a sample of Spanish secondary schools, focusing on the measurement model's theoretical specification and the "ex post" analysis of results. Highlights characteristics that differentiate the most efficient schools from the least efficient. Stresses the importance of employing information supplied by both…
Descriptors: Efficiency, Foreign Countries, Institutional Characteristics, Mathematical Models

Koshal, Rajindar K.; Koshal, Manjulika – Education Economics, 1999
Builds a model explaining the behavior of the supply and demand for education at U.S. liberal arts colleges. A statistical analysis of 1990-91 data for 338 private liberal arts institutions suggests a perfectly competitive market. Student quantity, costs, test scores, class size, and college rankings help explain tuition variations. Contains 27…
Descriptors: Class Size, Costs, Enrollment Trends, Higher Education
Bessant, A.; And Others – 1981
To assess the productivity of 167 Houston elementary schools, researchers applied a fractional linear programming procedure called Data Envelopment Analysis (DEA) to each school's inputs and outputs. School output was measured by third- and sixth-graders' scores on the Iowa Test of Basic Skills (ITBS). Input resources comprised pupil…
Descriptors: Achievement Rating, Attendance, Efficiency, Elementary Education
Fowler, William J., Jr., Ed. – National Center for Education Statistics, 1999
The National Center for Education Statistics (NCES) commissioned the papers in this publication to address advances in measuring education inflation and adjusting for it, as well as to examine the emergence of a new focus on school spending, rather than school district spending, as well as new, private sources of funding for public education, and…
Descriptors: Educational Finance, Cost Indexes, Investment, Productivity