A major issue in educational research involves taking into consideration the multilevel nature of the data. Since the late 1980s, attempts have been made to model social science data that conform to a nested structure. Among other models, two-level structural equation modelling or two-level path modelling and hierarchical linear modelling are two…

Regression analyses examined the relationships among: time spent (periods and hours per week) studying science; time allocated for science homework; time used by teacher; and time not spent in learning. The performance cycle model of achievement, aspiration, and attitude was supported at the between classrooms level. (GDC)

Five statistical techniques were used to analyze the data collected in a previous article (TM 511 223) on student achievement, attention, and motivation in secondary school mathematics and science: ordinary least squares regression, canonical correlation, factorial modeling, partial least squares path analysis, and linear structural relations…