Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Mathematical Formulas | 8 |
| Mathematical Models | 8 |
| Research Methodology | 8 |
| Statistical Analysis | 3 |
| Capital Outlay (for Fixed… | 2 |
| Community Benefits | 2 |
| Community Colleges | 2 |
| Economic Research | 2 |
| Expenditures | 2 |
| Financial Support | 2 |
| Institutional Research | 2 |
| More ▼ | |
Author
| Baum, Stanley | 1 |
| Charter, Richard A. | 1 |
| Hotchkiss, Lawrence | 1 |
| Linthicum, Dorothy S. | 1 |
| Marshall, K. T. | 1 |
| Oliver, R. M. | 1 |
| Rashid, Mamunur | 1 |
| Rousseau, Ronald | 1 |
| Sarkar, Jyotirmoy | 1 |
| Schmitt, Neal | 1 |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 3 |
| Reports - Descriptive | 2 |
| Speeches/Meeting Papers | 2 |
| Guides - General | 1 |
| Numerical/Quantitative Data | 1 |
| Opinion Papers | 1 |
Education Level
Audience
| Researchers | 1 |
Location
| Maryland | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sarkar, Jyotirmoy; Rashid, Mamunur – Educational Research Quarterly, 2017
The standard deviation (SD) of a random sample is defined as the square-root of the sample variance, which is the "mean" squared deviation of the sample observations from the sample mean. Here, we interpret the sample SD as the square-root of twice the mean square of all pairwise half deviations between any two sample observations. This…
Descriptors: Sample Size, Sampling, Visualization, Geometric Concepts
Peer reviewedRousseau, Ronald – Journal of Documentation, 1987
Proposes a new definition of the nuclear zone of a Bradford or Leimkuhler curve. The mathematical rationale is outlined, and examples of the application of this technique to citation analysis are given. (15 references) (CLB)
Descriptors: Citation Analysis, Functions (Mathematics), Graphs, Logarithms
PDF pending restorationSchmitt, Neal – 1982
A review of cross-validation shrinkage formulas is presented which focuses on the theoretical and practical problems in the use of various formulas. Practical guidelines for use of both formulas and empirical cross-validation are provided. A comparison of results using these formulas in a range of situations is then presented. The result of these…
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
Peer reviewedCharter, Richard A. – Educational and Psychological Measurement, 1982
Practical formulas for several analysis of variance (ANOVA) designs and models are presented which make it possible for readers to compute strength of association measures without the use of complete ANOVA tables. (Author/PN)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Mathematical Models
Marshall, K. T.; Oliver, R. M. – 1979
The use of data on longitudinal student attendance patterns to determine variances, and hence confidence bounds, on student enrollment forecasts, in addition to finding the forecasts themselves, is demonstrated. The formulation of the enrollment model based on longitudinal student attendance patterns is described step by step, presenting the…
Descriptors: College Attendance, Conference Reports, Enrollment Projections, Higher Education
Hotchkiss, Lawrence – 1979
This document was prepared in connection with a three-year longitudinal study of career expectations of high school students conducted to explain scientifically the process by which youth form career expectations, e.g., educational, occupational, and income expectations. Divided into six chapters, this document contains a theoretical rationale for…
Descriptors: Career Development, Concept Formation, Decision Making, Educational Research
Linthicum, Dorothy S. – 1978
Designed as a tool for colleges and the State Board for Community Colleges in Maryland to update economic impact data on a regular basis, this manual describes sources of impact information, and how the information can be used in economic equations. Part I of the manual describes how values for short-term economic impacts of community college…
Descriptors: Capital Outlay (for Fixed Assets), Community Benefits, Community Colleges, Computer Programs
Baum, Stanley – 1978
The short-range economic impact of Mercer County Community College (MCCC) upon the local community was investigated in terms of business volume, property tax revenues, and jobs for the fiscal year ending June 30, 1978. MCCC generated $6,456,979 in local business volume; approximately two-thirds of these local purchases were directly attributable…
Descriptors: Capital Outlay (for Fixed Assets), College Faculty, Community Benefits, Community Colleges


