Browsing by Author "Assanbayeva G."

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    Factors affecting the college speciality selection of Kazakhstani students
    (2020 International Young Scholars Workshop, 2020) Assanbayeva G.
    Abstract. In this talk we discuss factors that influence and impact Kazakhstani students when it comes to decide major selection.To analyse and study factors,we surveyed 314 students over 16 universities of Kazakhstan (including private, semi-government and government universities). In the previous joint work with (Assanbayeva & Kadyrov, 2020) factor analysis resulted 9 scales,namely,teacher impact,occupation salary impact,external impact,personal interest impact,personal skills impact,national test impact,university cost impact,parents impact,state grant impact.The main aim of the present work is to investigate main factors that influenced the Kazakhstani students most.The next goal is to find any differences in terms of gender when it comes to major selection factors.As most participants were among Suleyman Demirel University,we also wanted to see if there any differences between factors that influence Suleyman Demirel University students major selection to students of other local universities. The statistical data analysis show that students found themselves to be the most influential by 6 factors out of 9 ,namely,influence of state grant, influence of university cost, occupation salary impact, national test impact, influence of personal interest and influence of personal skills.Findings also suggested that, there is no difference between these 6 factors depending on gender.Also,no differences were found among university and factors.
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    PRINCIPAL COMPONENT ANALYSIS AND A MULTILINGUAL CONSTRUCT TO DETERMINE THE UNDERGRADUATE MAJOR SELECTION FACTORS
    (СДУ хабаршысы - 2020, 2020) Assanbayeva G. ; Kadyrov Sh.
    Abstract. In this article, we review mathematics behind well-known Principal Component Analysis from Linear Algebra implemented in various applied fields. As an application, we develop a construct to measure factors that affect college students in their major selection. This is a multilingual construct given in three languages, namely Kazakh, Russian, and English. To this end, we prepare a survey consisting of 27 Likert scale items in three languages and it is conducted among 314 undergraduate students in Kazakhstan. For dimensionality reduction, Principal Component Analysis is carried in python programming language which resulted in 9 major scales with only 22 elements. The overall reliability of the test is calculated to be 0,856. The nine scales are the effect of Uniform National Testing, state grant affect, personal interest affect, skills affect, occupation salary affect, teacher affect, external affect, university cost affect, parent’s affect.
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    Principal component analysis and it’s application to analysing factors affecting choice of university major
    (Faculty of Engineering and Natural Science, 2020) Assanbayeva G.
    The study is considered the identification of the main factors affecting the selection of study field.As an application, we develop a construct to measure factors that affect college students in their major selection.It is a multilingual building in three languages,namely,Kazakh,Russian,English.We conducted a survey of 27 Likert scale items in 3 languages,which is being conducted among 314 undergraduate students in Kazakhstan.The overall reliability of the test is calculated to be 0,856.The nine scales are the effect of Uniform National Testing, state grant affect, personal interest affect, skills affect, occupation salary affect, teacher affect, external affect, university cost affect, parent’s affect.The result of study can be used to help universities to improve their competences in attracting students.For these used PCA method and as a software used a Python programming language. Also,we investigate the main factors that influenced the Kazakhstani students most.We tested any differences in terms of gender when it comes to major selection factors.As most participants were among Suleyman Demirel University,we also wanted to see if there any differences between factors that influence Suleyman Demirel University students major selection to students of other local universities.The statistical data analysis show that students found themselves to be the most influential by 6 factors out of 9 ,namely,influence of state grant, influence of university cost, occupation salary impact, national test impact, influence of personal interest and influence of personal skills.Hypotheses testing are carried out using the T-test.Findings also suggested that, there is no difference between these 6 factors depending on gender.Also,no differences were found among university and factors.