Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
Author
| Althouse, Linda Akel | 1 |
| Ferron, John M. | 1 |
| Hillman, Stephen B. | 1 |
| Kiger, Jack E. | 1 |
| Sawilowsky, Shlomo S. | 1 |
| Ware, William B. | 1 |
| Wise, Kenneth | 1 |
Publication Type
| Reports - Evaluative | 3 |
| Speeches/Meeting Papers | 2 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
Education Level
| Elementary Education | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Middle Schools | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Download full textNational Center for Education Statistics, 2013
This document represents one of three appendices associated with "The Nation's Report Card: A First Look--2013 Mathematics and Reading. National Assessment of Educational Progress at Grade 4 and 8. NCES 2014-451." It includes tabular data relating to the mathematics portion of the National Assessment of Education Progress at Grade 4 and…
Descriptors: Tables (Data), Mathematics Achievement, Sample Size, Participation
Althouse, Linda Akel; Ware, William B.; Ferron, John M. – 1998
The assumption of normality underlies much of the standard statistical methodology. Knowing how to determine whether a sample of measurements is from a normally distributed population is crucial both in the development of statistical theory and in practice. W. Ware and J. Ferron have developed a new test statistic, modeled after the K-squared test…
Descriptors: Monte Carlo Methods, Power (Statistics), Sample Size, Simulation
Sawilowsky, Shlomo S.; Hillman, Stephen B. – 1991
Psychology studies often have low statistical power. Sample size tables, as given by J. Cohen (1988), may be used to increase power, but they are based on Monte Carlo studies of relatively "tame" mathematical distributions, as compared to psychology data sets. In this study, Monte Carlo methods were used to investigate Type I and Type II…
Descriptors: Mathematical Models, Monte Carlo Methods, Power (Statistics), Psychological Studies
Peer reviewedKiger, Jack E.; Wise, Kenneth – College and Research Libraries, 1993
Describes the of attribute sampling to estimate characteristics of library collections and operations. The nature of statistical sampling and making a statistical inference are covered, and examples from library situations are given. Tables of determination of sample size and evaluation of results are included. (Contains six references.) (EAM)
Descriptors: Expectancy Tables, Library Administration, Library Collections, Methods
