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…

Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…

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…

The operational preparations for the Dutch national assessment program in education started in 1986. The program's aim is to periodically describe the contents of the curriculum in use and the attainment of 8-year-old and 11-year-old students on a national basis by means of surveys. In this paper some of the guiding principles in instrument…

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…