The investigation of school effects on student achievement in science: A multilevel analysis of educational data

The Second International Science Study provides a large Australian data base for the purpose of secondary analyses. This data base consists of a large number of student and school level variables which were examined with reference to the students nested within the schools. Multilevel analysis involves the use of the hierarchical linear model to adequately compensate for variability between-schools, as well as within-schools. The role of the school organization and effects such as the average student ability and average social factors were found to substantially influence student achievement in science. These school effects were also found to influence boys and girls differently with respect to their science achievement as measured by the tests in this study. Specializations: large scale data analysis, gender differences, socioeconomic factors, epidemiology.