School health programs are united by their desire to promote health and health-related outcomes among youth. They are also united by the fact that their expected effects are contingent on successful program implementation, which is often impeded by a multitude of real-world barriers. Techniques used in management science may help optimize…

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…

These proceedings are a written record of the research presented at the 42nd annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (PME-NA) held in Mazatlán, Mexico, virtually beginning May 27, 2021 and in-person June 2-6, 2021. The conference was originally scheduled to take place…

Critical education scholars contend that schools ought to play a role in the transformation of inequitable institutions and social arrangements. In part, this entails educating students in the academic disciplines, viewed as powerful lenses through which students might see the world in order to better understand why things are the way they are and…

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…

After clarifying some of the problems in determining the effectiveness of schools, this study attempts to show how the impact of school resources on achievement can be measured. Several mathematical models are examined that provide quantitative information on the relationship between school resources and student achievement. The sample includes…

Uses data from the Trial State Assessment of the National Assessment of Educational Progress to describe and illustrate a two-stage statistical model for investigating state-to-state variation in mathematics achievement. Results reveal considerable state-to-state heterogeneity in mathematics proficiency, but most heterogeneity is explainable on…

Combines costs of fund raising and college-relations data for each of 3 years from 17 colleges and universities with the schools' institutional characteristics to predict ratios of alumni donors to each school's total alumni. With factor analysis, classifies expenditure and institutional variables according to fund-raising effort, donor wealth,…

Applies multilevel models of cost-effectiveness to numerous types of (British) institutions providing courses of instruction in the General Certificate of Education at Advanced Level. Different impressions may be gained about an institution's relative effectiveness when cost considerations are combined with outcome measures. Data evaluation needs…

College-preference studies can help administrators identify a potential pool of desirable students and implement new recruitment techniques. This study, which supports earlier findings, used a logistic regression model to investigate the effects of variables relating student characteristics and institutional factors on the decision to apply to a…

By including district variables at a third level, this study extended previous two-level hierarchical linear modeling (HLM) of multivariate relationships among Texas school-level characteristics and within-school mean Scholastic Assessment Test (SAT) scores and score differentiating factors (L. L. Hargrove, M. X. Mao, and G. Barkanic, 1996;…

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…

Estimates a model allowing researchers to determine how much achievement on a 10th-grade standardized test can be explained by observable schooling resources and unobservable school, teacher, and class effects. Although few observable variables are significant test-score determinants, unobservable effects seem important in explaining student…

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…

To validate a proposed statistical index of instructional effectiveness, researchers identified 33 school characteristics related to instructional effectiveness and tested the relationship between these characteristics and the proposed index. The index includes two subject area indices, mathematics and reading, and is based on statistical…