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Predicting Academic Performance of Master's Students in Engineering Management

The purpose of this study is to investigate the factors affecting academic achievement of the master's students who are enrolling in the executive engineering management master's programs in Turkey. These factors include admission requirements (entrance examination, undergraduate grade poi...

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Bibliographic Details
Published in:College student journal 2016-12, Vol.50 (4), p.501
Main Authors: Calisir, Fethi, Basak, Ecem, Comertoglu, Sevinc
Format: Article
Language:English
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Summary:The purpose of this study is to investigate the factors affecting academic achievement of the master's students who are enrolling in the executive engineering management master's programs in Turkey. These factors include admission requirements (entrance examination, undergraduate grade point average, English proficiency) and demographic attributes (gender, concurrent employment while studying). The sample for this study consisted of 105 students who graduated from the executive engineering management master's program at Istanbul Technical University between 2011 and 2014. A stepwise logistic regression method (Forward LR) was used for the analysis. The overall graduate grade point average score was modelled as a binary decision variable. The probability of excellent academic standing in graduate education was modelled as a function of Entrance Examination for Academic Personnel and Graduate Education (ALES) score, English proficiency exam score, undergraduate grade point average, gender, and concurrent employment while studying. The variables predicting probability of excellent academic standing in graduate education are ALES score (positively related), English proficiency exam score (positively related), undergraduate grade point average (positively related), and concurrent employment while studying (negatively related).
ISSN:0146-3934
2691-3887