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Journal of Engineering and Applied Sciences
Year: 2019  |  Volume: 14  |  Issue: 6  |  Page No.: 2011 - 2015

Modified Gompertz Model to Predict Language Proficiency in Proportion to Language Learning Strategy

J.J. Kiram, J. Sulaiman, S. Suwanto and W.A. Din    

Abstract: A perpetuation from previous studies, it aims to fit a nonlinear mathematical model, specifically the modified Gompertz Model into a data involving language learning strategies. These language learning strategies are regarded as the six independent variables. Whereas, the language proficiency is regarded as the dependent variable. The language proficiency is measured according to the student’s Malaysian University English test result where two hundred and thirty pre-university students of Universiti Malaysia Sabah participated. These language learning strategies are based upon a self-report questionnaire called the strategy inventory for language learning. The model’s goodness-of-fit was tested using Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Residual Standard Error (RSE).

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