Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Author
| Arora, Alka, Ed. | 1 |
| Bakker, Arthur | 1 |
| Foy, Pierre, Ed. | 1 |
| Hein, Serge F. | 1 |
| Skaggs, Gary | 1 |
| Stanco, Gabrielle M., Ed. | 1 |
| Wilkins, Jesse L. M. | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Collected Works - General | 1 |
| Numerical/Quantitative Data | 1 |
Education Level
| Elementary Secondary Education | 3 |
| Grade 8 | 3 |
| Middle Schools | 2 |
| Elementary Education | 1 |
| Grade 4 | 1 |
| Junior High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Trends in International… | 2 |
What Works Clearinghouse Rating
Download full textFoy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on the explicit and implicit stratification variables included in the TIMSS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…
Descriptors: Predictor Variables, Sampling, Comparative Education, International Education
Peer reviewed
Direct linkSkaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
Bakker, Arthur – Statistics Education Research Journal, 2004
This paper examines ways in which coherent reasoning about key concepts such as variability, sampling, data, and distribution can be developed as part of statistics education. Instructional activities that could support such reasoning were developed through design research conducted with students in grades 7 and 8. Results are reported from a…
Descriptors: Middle Schools, Grade 8, Cognitive Development, Sampling
