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Darmawan, I Gusti Ngurah; Keeves, John P. – International Education Journal, 2006
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…
Descriptors: Educational Research, Predictor Variables, Interaction, Path Analysis

Keeves, John P. – International Journal of Educational Research, 1986
A causal model of a cycle of student performance is proposed. Two investigations were conducted in Australia, studying individuals and classrooms. Attitudes toward, and achievement in, mathematics and science were measured. The roles of attentiveness and teachers' use of time were also studied. (GDC)
Descriptors: Academic Achievement, Attention, Elementary Secondary Education, Foreign Countries

Keeves, John P.; Larkin, Anthony I. – International Journal of Educational Research, 1986
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)
Descriptors: Academic Achievement, Attention, Classroom Research, Elementary Secondary Education
Murray-Harvey, Rosalind; Keeves, John P. – 1994
A study was designed to investigate the complex interrelationship of factors that affect university students' academic achievement. The study used a sample population of 72 students who were enrolled in first year Nursing and Teacher Education courses in 1991 at the Flinders University of South Australia. From data gathered over 2 years, a…
Descriptors: Academic Achievement, Academic Persistence, Cognitive Processes, Foreign Countries