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Wang, 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
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Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis
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Tam, Hak Ping; Li, Lung-An – International Journal of Science Education, 2007
The National Science Concept Learning Study represented one of the largest and the most extensive surveys of its kind undertaken in Taiwan in recent years. A total of 36,093 students from the sixth, eighth, ninth, and eleventh grades participated in the main study. This paper provides the background information about the sampling and booklet…
Descriptors: Research Methodology, Surveys, Scientific Concepts, Science Education
Martin, Michael O., Ed.; Kelly, Dana L., Ed. – 1996
The Third International Mathematics and Science Study (TIMSS) developed and administered tests and questionnaires in three student populations to document the quality of mathematics and science education in 45 participating countries. Study design, instrument development, and research procedures were achieved through a complex collaborative…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Elementary Secondary Education