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Predicting school achievement from cognitive and non-cognitive variables in a Chinese sample of elementary school children
Authors:Liping Lu  Heike S. Weber  Frank M. Spinath  Jiannong Shi
Affiliation:1. Centre of National Research on Disability and Rehabilitation Medicine, The University of Queensland, Australia;2. Curtin Bankwest Economics Centre, Curtin University, Australia;3. School of Commerce, University of Southern Queensland, Australia;4. Australian Centre for Economic Research on Health, School of Economics and Centre for Clinical Research, The University of Queensland, Australia;5. School of Economics, The University of Queensland, Australia;1. Daugavpils University, Institute of Humanities and Social Sciences, 1 Parades, Daugavpils LV 5400, Latvia;2. University of Latvia, Institute of Philosophy and Sociology, Kalpaka bulv. 4, 325, Riga LV1050, Latvia;1. School of Government and Policy, Faculty of Business, Government, and Law, University of Canberra, Australia;2. College of Business, Government and Law, Flinders University, Australia
Abstract:The present study had two aims: First, to investigate the joint and specific roles of working memory (WM) and intelligence as predictors of school achievement. And second, to replicate and extend earlier findings (Spinath, Spinath, Harlaar, & Plomin, 2006) on the incremental validity of non-cognitive over cognitive abilities in the prediction of school achievement. The present sample consisted of N = 179 Chinese primary school children in the fourth grade. All measures including working memory (WM), intelligence and motivational items were assessed in class. Teachers provided test scores for the domains of Chinese and Math. We found that WM was a good predictor of school achievement and comparable in predictive power to intelligence. Together, cognitive ability including both WM and intelligence explained 17.8% and 36.4% of the variance in children's Chinese and Math scores, respectively. The relative importance of WM and intelligence varied with school domains with greater predictive power of WM for Math while intelligence explained a greater proportion of the variance in Chinese although the magnitude of this difference was only moderate. Domain-specific motivational constructs contributed only marginally to the prediction of school achievement for both Chinese and Math.
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