A review of 13 years of research into antecedents of university students' grade point average scores (GPA) generated: (i) a comprehensive, conceptual map of known correlates of tertiary GPA, (ii) assessment of the magnitude of average, weighted correlations with GPA and (iii) tests of multivariate models of GPA correlates within and across research domains. A systematic search of psycINFO and web of knowledge databases between 1997 and 2010 identified 7167 English language articles yielding 242 datasets reporting 50 conceptuallydistinct correlates of GPA including 3 demographic factors and 5 traditional measures of cognitive capacity or prior academic performance. In addition, 42 non-intellective constructs were identified from 5 conceptually-overlapping but distinct research domains: (1) personality traits, (2) motivational factors, (3) self-regulatory learning strategies, (4) students' approaches to learning, and (5) psychosocial contextual influences. 1105 independent correlations were retrieved and data were analyzed using hypothesis-driven, random effects meta analyses. Significant average, weighted correlations were found for 41 of 50 measures.Univariate analyses revealed that demographic, and psychosocial contextual factors generated, at best, small correlations with GPA. Medium-sized correlations were observed for high school GPA, SAT, ACT, and 'A' level scores. Four non-intellective constructs also showed medium-sized correlations with GPA, namely, need for cognition, academic selfefficacy, grade goal, and effort regulation. A large correlation was observed for performance self-efficacy which was the strongest correlate (of 50 measures) followed by high school GPA, ACT, and grade goal. Implications for future research, student assessment and intervention design are discussed.Key terms: student, grade point average, self-efficacy, goal, meta analysis.
NON INTELLECTIVE CORRELATES OF ACADEMIC PERFORMANCE 2The psychology of individual differences originated in attempts to predict scholastic performance. Binet and Simon's (1916) work showed that children's individual cognitive capacities explained variability in educational performance and, in doing so, laid the foundations for extensive research into intelligence and intelligence testing (Neisser et al., 1996). Theoretical debate focused on the psychological nature of intelligence and applied research explored how differences in intelligence(s) can be most usefully assessed (e.g., Capenter, Just & Shell, 1990; Gardner, 1983;Spearman, 1927). Subsequent research has identified a variety of individual differences that predict scholastic performance and prompted construction of a wide range of assessment instruments. This diverse literature has not clarified how, and to what extent, separate measures of academic potential are related.Greater conceptual and methodological integration would help focus future research questions and facilitate optimal assessment of students' academic potential. In order to achieve this we reviewed 13 years of research...