Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression

This paper presents the applicability of exploratory data analysis and logistic regression with an aim to discover the hidden information within the tracer study data. The impact of independent variables of Bahasa Melayu, English Language and Malaysian University English Test (MUET) on the academic...

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Main Authors: Siraj, Fadzilah, Abu Bakar, Nur Azzah
Format: Conference or Workshop Item
Published: 2016
Subjects:
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author Siraj, Fadzilah
Abu Bakar, Nur Azzah
author_facet Siraj, Fadzilah
Abu Bakar, Nur Azzah
author_sort Siraj, Fadzilah
collection UUM
description This paper presents the applicability of exploratory data analysis and logistic regression with an aim to discover the hidden information within the tracer study data. The impact of independent variables of Bahasa Melayu, English Language and Malaysian University English Test (MUET) on the academic performance is investigated, and the visual impact of exploratory data analysis and logistic regression is also assessed.The empirical results suggest that the academic performance between male and female graduates from Arts and Science fields is significantly different.Variables such as Bahasa Melayu, English Language and MUET shown a significant correlation with academic performance. The results also exhibit that the impact on academic performance of Arts graduates is different from the Science graduates.Guided by the empirical findings, the study suggests the academic performance model for Arts and Science graduates.
first_indexed 2024-07-04T06:23:28Z
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institution Universiti Utara Malaysia
last_indexed 2024-07-04T06:23:28Z
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spelling uum-234022018-02-15T01:37:10Z https://repo.uum.edu.my/id/eprint/23402/ Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression Siraj, Fadzilah Abu Bakar, Nur Azzah QA75 Electronic computers. Computer science This paper presents the applicability of exploratory data analysis and logistic regression with an aim to discover the hidden information within the tracer study data. The impact of independent variables of Bahasa Melayu, English Language and Malaysian University English Test (MUET) on the academic performance is investigated, and the visual impact of exploratory data analysis and logistic regression is also assessed.The empirical results suggest that the academic performance between male and female graduates from Arts and Science fields is significantly different.Variables such as Bahasa Melayu, English Language and MUET shown a significant correlation with academic performance. The results also exhibit that the impact on academic performance of Arts graduates is different from the Science graduates.Guided by the empirical findings, the study suggests the academic performance model for Arts and Science graduates. 2016-04-05 Conference or Workshop Item NonPeerReviewed Siraj, Fadzilah and Abu Bakar, Nur Azzah (2016) Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression. In: International Conference on ICT for Transformation 2016, 05-07 April 2016, Center for postgraduate UMS Sabah Malaysia.. (Unpublished)
spellingShingle QA75 Electronic computers. Computer science
Siraj, Fadzilah
Abu Bakar, Nur Azzah
Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title_full Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title_fullStr Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title_full_unstemmed Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title_short Exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
title_sort exploring the academic performance of arts and science graduates using exploratory data analysis and logistic regression
topic QA75 Electronic computers. Computer science
work_keys_str_mv AT sirajfadzilah exploringtheacademicperformanceofartsandsciencegraduatesusingexploratorydataanalysisandlogisticregression
AT abubakarnurazzah exploringtheacademicperformanceofartsandsciencegraduatesusingexploratorydataanalysisandlogisticregression