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Identifying characteristics of successful tertiary students using path analysis
Authors:Rosalind Murray-Harvey
Abstract:Academic achievement is the outcome of a complex system of learning and teaching relationships existing within the context of the university. A causal path model was developed and tested using a partial least squares path analysis procedure in order to examine the relationships among factors hypothesised to influence tertiary students’ academic achievement. Of the eight predictor variables included in the model (Approach to Learning motives and strategies; Learning Style; Age; Sex; Locus of Control; Metacognitive Capability; and students’ Self-Rated performance), Metacognitive Capability most clearly identifies successful students. Relationships among the other variables also provide valuable information about student learning outcomes.
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