ANALYSIS OF THE FEMALE STUDENT ACADEMIC PERFORMANCE USING AN EXPLORATORY FACTOR ANALYSIS

被引:1
|
作者
Alnagar, Dalia [1 ,2 ]
Alharbi, Randa [1 ]
Abdulrahman, Alanazi Talal [3 ]
Alamri, Osama [1 ]
机构
[1] Univ Tabuk, Dept Stat, Tabuk, Saudi Arabia
[2] Omdurman Islamic Univ, Dept Stat, Omdurman, Sudan
[3] Univ Hail, Dept Math, Hail, Saudi Arabia
关键词
student's academic performance; factor analysis; exploratory factor analysis; female students; INTELLIGENCE; NUMBER;
D O I
10.17654/AS069010041
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The academic performance of a student is a critical aspect of learning process. A wide range of studies is available to investigate the students' academic performance. The academic performance of female students can be affected by several distinct variables. Identification and analysis of effective factors related to students' academic performance is a challenging task due to the rapidly changing lifestyles. The main objective of this study is to investigate and assess the common factors that can affect the female students' academic performance. Analysis was based on data gathered from a structured questionnaire for 297 female students from Tabuk University. Exploratory Factor Analysis (EFA) explains that the academic performance of the female students is affected by several factors. These factors explained 55.7% of the total variance of the sample students' academic performance. The results showed that family and social characteristics of the student, psychological characteristics of the student, the educational process and education system, high transport cost and distance from home to the university, academic advices and lack of reference, and economic characteristics of the student are the most significant factors that affect the overall grade point average (GPA) of the female student.
引用
收藏
页码:41 / 57
页数:17
相关论文
共 50 条
  • [1] Exploratory Factor Analysis for student perceptions about academic evaluation
    Rodriguez Garces, Carlos
    Padilla Fuentes, Geraldo
    Valenzuela Orrego, Monica
    [J]. PAGINAS DE EDUCACION, 2019, 12 (01): : 150 - 163
  • [2] Data Analysis of Student Academic Performance Using Social and Academic Indicators
    Ezziani, Maria
    Benhayoun, Salima
    Chtouki, Yousra
    [J]. 2022 20TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET), 2022,
  • [3] Development of an Instrument to Measure Student Use of Academic Success Skills: An Exploratory Factor Analysis
    Carey, John
    Brigman, Greg
    Webb, Linda
    Villares, Elizabeth
    Harrington, Karen
    [J]. MEASUREMENT AND EVALUATION IN COUNSELING AND DEVELOPMENT, 2014, 47 (03) : 171 - 180
  • [4] Autonomy support environment and autonomous motivation on nursing student academic performance: An exploratory analysis
    Bronson, Sevilla
    [J]. NURSE EDUCATION TODAY, 2016, 44 : 103 - 108
  • [5] Regression analysis of student academic performance using deep learning
    Hussain, Sadiq
    Gaftandzhieva, Silvia
    Maniruzzaman, Md.
    Doneva, Rositsa
    Muhsin, Zahraa Fadhil
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2021, 26 (01) : 783 - 798
  • [6] Regression analysis of student academic performance using deep learning
    Sadiq Hussain
    Silvia Gaftandzhieva
    Md. Maniruzzaman
    Rositsa Doneva
    Zahraa Fadhil Muhsin
    [J]. Education and Information Technologies, 2021, 26 : 783 - 798
  • [7] Student Academic Optimism: a confirmatory factor analysis
    Tschannen-Moran, Megan
    Bankole, Regina A.
    Mitchell, Roxanne M.
    Moore, Dennis M., Jr.
    [J]. JOURNAL OF EDUCATIONAL ADMINISTRATION, 2013, 51 (02) : 150 - +
  • [8] Relating Student Engagement Indicators to Academic Performance Using Multiple Correspondence Analysis
    Ogunsakin, Ropo E.
    Moyo, Sibusiso
    Olugbara, Oludayo O.
    Israel, Connie
    [J]. CYBERNETICS AND INFORMATION TECHNOLOGIES, 2021, 21 (01) : 87 - 102
  • [9] Student academic performance analysis using fuzzy C-means clustering
    Rosadil, R.
    Akamal
    Sudrajat, R.
    Kharismawan, B.
    Hambali, Y. A.
    [J]. INDONESIAN OPERATIONS RESEARCH ASSOCIATION (IORA) - INTERNATIONAL CONFERENCE ON OPERATIONS RESEARCH 2016, 2017, 166
  • [10] Parsimonious in Factor Identification Using Exploratory Factor Analysis
    Jamil, Nur Izzah
    Rosle, Alia Nadira
    Ibrahim, Siti Sara
    Baharuddin, Farrah Nadia
    [J]. ADVANCED SCIENCE LETTERS, 2018, 24 (04) : 2514 - 2517