Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Author
| Kang, Yoonjeong | 1 |
| Ma, Xin | 1 |
| Martin, Michael O. | 1 |
| Mullis, Ina V. S. | 1 |
| Stapleton, Laura M. | 1 |
| Wang, Jianjun | 1 |
Publication Type
| Journal Articles | 3 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Secondary Education | 3 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Trends in International… | 3 |
| Early Childhood Longitudinal… | 1 |
| National Assessment of… | 1 |
| Schools and Staffing Survey… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textWang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
Direct linkMartin, Michael O.; Mullis, Ina V. S. – Journal of Educational and Behavioral Statistics, 2019
International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development's Program for International…
Descriptors: Achievement Tests, International Assessment, Mathematics Tests, Science Achievement
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
