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
Computation | 2 |
Grade 8 | 2 |
Monte Carlo Methods | 2 |
Achievement | 1 |
Background | 1 |
Bayesian Statistics | 1 |
Classification | 1 |
Comparative Analysis | 1 |
Error of Measurement | 1 |
Hierarchical Linear Modeling | 1 |
Item Response Theory | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Grade 8 | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 2 |
Program for International… | 1 |
Progress in International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Rutkowski, Leslie – Applied Measurement in Education, 2014
Large-scale assessment programs such as the National Assessment of Educational Progress (NAEP), Trends in International Mathematics and Science Study (TIMSS), and Programme for International Student Assessment (PISA) use a sophisticated assessment administration design called matrix sampling that minimizes the testing burden on individual…
Descriptors: Measurement, Testing, Item Sampling, Computation
Johnson, Matthew S.; Jenkins, Frank – ETS Research Report Series, 2005
Large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) sample examinees to whom an exam will be administered. In most situations the sampling design is not a simple random sample and must be accounted for in the estimating model. After reviewing the current operational estimation procedure for NAEP, this…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, National Competency Tests, Sampling