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) | 2 |
Descriptor
| Error of Measurement | 6 |
| Research Methodology | 6 |
| Testing Programs | 6 |
| Sampling | 5 |
| Educational Assessment | 3 |
| Educational Testing | 2 |
| Elementary Secondary Education | 2 |
| National Competency Tests | 2 |
| Testing Problems | 2 |
| Achievement Tests | 1 |
| Adolescents | 1 |
| More ▼ | |
Author
Publication Type
| Reports - Research | 5 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Opinion Papers | 1 |
Education Level
| Elementary Secondary Education | 2 |
| Higher Education | 1 |
Audience
Location
| Arizona | 1 |
| California | 1 |
| Missouri | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 3 |
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkMrazik, Martin; Janzen, Troy M.; Dombrowski, Stefan C.; Barford, Sean W.; Krawchuk, Lindsey L. – Canadian Journal of School Psychology, 2012
A total of 19 graduate students enrolled in a graduate course conducted 6 consecutive administrations of the Wechsler Intelligence Scale for Children, 4th edition (WISC-IV, Canadian version). Test protocols were examined to obtain data describing the frequency of examiner errors, including administration and scoring errors. Results identified 511…
Descriptors: Intelligence Tests, Intelligence, Statistical Analysis, Scoring
Download full textOlsen, Robert B.; Unlu, Fatih; Price, Cristofer; Jaciw, Andrew P. – National Center for Education Evaluation and Regional Assistance, 2011
This report examines the differences in impact estimates and standard errors that arise when these are derived using state achievement tests only (as pre-tests and post-tests), study-administered tests only, or some combination of state- and study-administered tests. State tests may yield different evaluation results relative to a test that is…
Descriptors: Achievement Tests, Standardized Tests, State Standards, Reading Achievement
Kolen, Michael J. – 1984
Large sample standard errors for the Tucker method of linear equating under the common item nonrandom groups design are derived under normality assumptions as well as under less restrictive assumptions. Standard errors of Tucker equating are estimated using the bootstrap method described by Efron. The results from different methods are compared…
Descriptors: Certification, Comparative Analysis, Equated Scores, Error of Measurement
Williams, Rick L.; And Others – 1981
The National Assessment of Educational Progress in-school sampling design is a three-stage stratified design. Stratification variables include region, size of community and socioeconomic status. The three levels of sample selection are Primary Sampling Units (PSUs), schools and students. In general, two and sometimes three PSUs are selected from…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
Folsom, Ralph E., Jr. – 1977
Beginning with the planning stages of the National Assessment of Educational Progress (NAEP), careful attention has been given to the design of efficient probability sampling methods for the selection of class-age respondents and the assignment of test packages. With these methods, it is possible for NAEP researchers to make relatively precise…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
Spencer, Bruce D. – 1986
The National Assessment of Educational Progress (NAEP) currently tests seventeen-year-old students enrolled in public and private secondary schools, but it does not test "out-of-school" seventeen-year-olds who have either graduated or dropped out. Estimating that one of five seventeen-year-olds is out of school, the interpretability of…
Descriptors: Adolescents, Cohort Analysis, Dropouts, Educational Assessment
